The document highlights several important African American figures born on Valentine's Day including Frederick Douglass, Gregory Hines, Moneta Sleet Jr., Richard Allen, Charlotta Bass, and Oliver Harrington. It provides brief biographies on each person's accomplishments and contributions in fields such as abolitionism, dance, photography, religion, journalism, and cartooning. All of the individuals played significant roles in fighting for civil rights and racial equality.
Event classification & prediction using support vector machineRuta Kambli
油
This document provides an overview of event classification and prediction using support vector machines (SVM). It begins with an introduction to classification, machine learning, and SVM. It then discusses binary classification with SVM, including hard-margin and soft-margin SVM, kernels, and multiclass classification. The document presents case studies on classifying hand movements from electromyography data and predicting power grid blackouts using SVM. It concludes that SVM is effective for these classification tasks and can initiate prevention mechanisms for predicted events.
HEALTH PREDICTION ANALYSIS USING DATA MININGAshish Salve
油
Data mining techniques are used for a variety of applications. In healthcare industry, datamining plays an important
role in predicting diseases. For detecting a disease number of tests should be required from the patient. But using data
mining technique the number of tests can be reduced. This reduced test plays an important role in time and performance.
This report analyses data mining techniques which can be used for predicting different types of diseases. This report reviewed
the research papers which mainly concentrate on predicting various disease
Methods of Combining Neural Networks and Genetic AlgorithmsESCOM
油
1. The document discusses methods for combining neural networks and genetic algorithms. It describes three main approaches: evolving connection weights, evolving network architectures, and evolving learning rules.
2. In the first approach, a genetic algorithm is used as the learning rule to optimize neural network weights. The second approach uses a genetic algorithm to select structural parameters of the network and trains the network separately. The third approach evolves parameters of the network's learning rule.
3. Combining neural networks and genetic algorithms can help compensate for each techniques' weaknesses in search, and may lead to highly successful adaptive systems by integrating learning and evolutionary search.
This document provides an agenda for a presentation on deep learning, neural networks, convolutional neural networks, and interesting applications. The presentation will include introductions to deep learning and how it differs from traditional machine learning by learning feature representations from data. It will cover the history of neural networks and breakthroughs that enabled training of deeper models. Convolutional neural network architectures will be overviewed, including convolutional, pooling, and dense layers. Applications like recommendation systems, natural language processing, and computer vision will also be discussed. There will be a question and answer section.
This Machine Learning Algorithms presentation will help you learn you what machine learning is, and the various ways in which you can use machine learning to solve a problem. At the end, you will see a demo on linear regression, logistic regression, decision tree and random forest. This Machine Learning Algorithms presentation is designed for beginners to make them understand how to implement the different Machine Learning Algorithms.
Below topics are covered in this Machine Learning Algorithms Presentation:
1. Real world applications of Machine Learning
2. What is Machine Learning?
3. Processes involved in Machine Learning
4. Type of Machine Learning Algorithms
5. Popular Algorithms with a hands-on demo
- Linear regression
- Logistic regression
- Decision tree and Random forest
- N Nearest neighbor
What is Machine Learning: Machine Learning is an application of Artificial Intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.
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About Simplilearn Machine Learning course:
A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all peoples digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.This Machine Learning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning.
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Why learn Machine Learning?
Machine Learning is taking over the world- and with that, there is a growing need among companies for professionals to know the ins and outs of Machine Learning
The Machine Learning market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period.
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What skills will you learn from this Machine Learning course?
By the end of this Machine Learning course, you will be able to:
1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling.
2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
5. Be able to model a wide variety of robust Machine Learning algorithms including deep learning, clustering, and recommendation systems
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IRJET- Diabetes Prediction using Machine LearningIRJET Journal
油
This document discusses predicting diabetes using machine learning algorithms. It analyzes the Pima Indian diabetes dataset using Support Vector Machine (SVM), K-Nearest Neighbors, and Decision Tree algorithms. SVM achieved the highest accuracy of 80% for predicting whether a patient has diabetes. Key features like glucose level and body mass index were most important for prediction. A GUI was created to allow users to enter patient data and predict diabetes status using the SVM model trained on the dataset.
FINE-TUNING LLAMA 2: DOMAIN ADAPTATION OF A PRE-TRAINED MODELChristopherTHyatt
油
Llama 2 is a state-of-the-art language model designed for natural language understanding tasks, leveraging advanced techniques in machine learning to process and generate human-like text efficiently and accurately.
The document discusses various evaluation metrics that can be used for binary classification and click prediction, including AUC, RIG, LogLoss, precision, recall, and F1. It notes that AUC ignores predicted probabilities and considers type 1 and type 2 errors equally. RIG is bad for comparing models with different data distributions but can be used to compare multiple models trained on the same data. The document also provides a reference for more information on offline and online predictive model performance evaluations.
1. The document examines the relationship between brain anatomical networks and intelligence by analyzing structural, functional, and effective connectivity patterns.
2. It reviews concepts from graph theory and complex networks that are relevant for studying brain networks, including small-world networks and scale-free networks.
3. An experiment analyzed diffusion tensor images and other data from 79 subjects to construct and analyze anatomical brain networks and investigate their relationships with general and high intelligence.
Machine learning involves programming computers to optimize performance using example data or past experience. It is used when human expertise does not exist, humans cannot explain their expertise, solutions change over time, or solutions need to be adapted to particular cases. Learning builds general models from data to approximate real-world examples. There are several types of machine learning including supervised learning (classification, regression), unsupervised learning (clustering), and reinforcement learning. Machine learning has applications in many domains including retail, finance, manufacturing, medicine, web mining, and more.
This document summarizes Pooja's seminar presentation on machine learning. It introduces machine learning and compares it to traditional programming. It describes the main types of machine learning: supervised learning which uses labeled data to make predictions, unsupervised learning which finds patterns in unlabeled data, and reinforcement learning where an agent learns from feedback. The document discusses concepts like classification, regression, and feedback in machine learning systems. It also outlines some applications and concludes that machine learning can improve lives by advancing technology.
This document provides details of an industrial training presentation on artificial intelligence, machine learning, and deep learning that was delivered at the Centre for Advanced Studies in Lucknow, India from July 15th to August 14th, 2020. The presentation covered theoretical background on AI, machine learning, and deep learning. It was divided into 4 modules that discussed topics such as what machine learning is, supervised vs unsupervised learning, classification vs clustering, neural networks, activation functions, and applications of deep learning. The conclusion discussed how AI is impacting many industries and emerging technologies and will continue to be a driver of innovation.
GA is a search technique that depends on the natural selection and genetics principles and which determines a optimal solution for even a hard issue.genetic algorithm crossover and genetic algorithm for optimization
This document discusses different machine learning algorithms including supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning. Supervised learning uses labeled data to generate predictions, unsupervised learning finds patterns in unlabeled data through clustering and visualization, semi-supervised learning combines labeled and unlabeled data, and reinforcement learning uses rewards to learn behaviors. The document provides examples of applications for each type of learning such as price prediction, image clustering, and autonomous vehicles.
This document discusses genetic algorithms and how they are used for concept learning. It explains that genetic algorithms are inspired by biological evolution and use selection, crossover, and mutation to iteratively update a population of hypotheses. It then describes how genetic algorithms work, including representing hypotheses, genetic operators like crossover and mutation, fitness functions, and selection methods. Finally, it provides an example of a genetic algorithm called GABIL that was used for concept learning tasks.
Induction and Decision Tree Learning (Part 1)butest
油
The document discusses machine learning and inductive learning. It provides an overview of types of machine learning including supervised, unsupervised, and reinforcement learning. It also discusses the history of machine learning and how inductive learning works, with the goal being to construct a hypothesis h that approximates the target function f based on examples in the training data. Decision tree learning is introduced as a method for inductive learning.
Machine learning is the intersection of statistics and computer science that allows systems to answer questions by learning from available data rather than through explicit programming. A machine learning model is trained on sample data to learn patterns and make predictions on new data. The accuracy of a machine learning model depends on the quality and quantity of training data as well as the robustness of the model. Machine learning is used in applications like speech recognition, fraud detection, spam filtering, search engines, and facial recognition. More data leads to stronger machine learning models that can tackle increasingly complex problems such as medical diagnosis, game playing, and self-driving vehicles.
HEART DISEASE PREDICTION USING NAIVE BAYES ALGORITHMamiteshg
油
This document describes using a Naive Bayes classifier to predict the likelihood of heart disease. It discusses how a web-based application would take in a user's medical information and use a trained dataset to compare and retrieve hidden data to diagnose heart disease. The document provides an example of using Bayes' theorem to calculate the probability of breast cancer based on a positive mammogram. It explains the implementation of the Naive Bayes classifier and concludes that the model could help practitioners make accurate clinical decisions to diagnose and treat heart disease.
The document provides biographies of 10 prominent abolitionists from the 1830s-1860s who worked to end slavery in the United States. Some of the key abolitionists mentioned include William Lloyd Garrison, who co-founded the American Anti-Slavery Society; Frederick Douglass, who escaped slavery and became a famous abolitionist speaker; Harriet Tubman, who helped free hundreds of slaves through the Underground Railroad; and Harriet Beecher Stowe, who wrote Uncle Tom's Cabin to generate sympathy for abolitionism. Overall, the abolitionists used speeches, writings, and underground operations to end slavery and fight for racial equality in the antebellum United States.
The document contains brief biographies of 15 influential Black Americans from history and the present day. It includes details about their backgrounds, accomplishments, and contributions in fields such as government, civil rights, arts, science, and sports. The biographies range from one to four sentences in length.
The document summarizes and celebrates the achievements of several prominent LGBT activists throughout history. It profiles activists such as Fr. Mychal Judge, Tracy Chapman, Col. Margarethe Cammermeyer, Harvey Milk, George Washington Carver, Michael Callen, Margaret Cho, Bill T. Jones, Gad Beck, Sylvia Rivera, Leslie Feinberg, and Laverne Cox, describing their contributions to LGBT rights and equality movements. The profiles highlight how these individuals overcame discrimination and hardship to become leaders and advocates for LGBT communities and human rights.
This document highlights the accomplishments and achievements of 16 influential Black Americans throughout history. It provides brief biographies of notable figures such as Cicely Tyson, Harriet Tubman, Dr. Martin Luther King Jr., Rosa Parks, Maya Angelou, John Lewis, Billie Holiday, and Coleman A. Young, recognizing them for advancing civil rights and making significant impacts in various fields including acting, abolitionism, politics, literature, music, and more. The document celebrates Black History Month by honoring the legacies of these important individuals.
Carter G. Woodson founded Black History Week, which became Black History Month. The document profiles many important African American historical figures who fought against slavery and racial injustice, including Harriet Tubman, Frederick Douglass, Rosa Parks, Martin Luther King Jr., and Barack Obama. It also highlights influential leaders, activists, artists and scientists who made important contributions to American history and culture.
The early 1960s in America was fraught with fear looming over from .docxssuser454af01
油
The early 1960's in America was fraught with fear looming over from the onset of the cold war. John Fitzgerald Kennedy was sworn into office as the 35th President in January of 1961. Within a few months of taking office, he helped orchestrate the
Bay of Pigs Invasion
, which had a negative result. In 1962, the Cuban Missile Crisis unfolded, and the fear of communism in the United States was stronger than ever. 1963 signaled the beginnings of unrest in Laos and Vietnam, due to a perceived communist threat. Kennedy was preparing to face the crisis mounting in Southeast Asia when he was assassinated on November 22nd, 1963. The
assassination of JFK
was a pivotal moment not just for American history, but also for American popular culture.
The term
counterculture
has been defined as a culture with values and mores that run counter to, or against those, of established society. There has always been a counterculture to oppose the dominant culture in America, but this group tended to be in the minority of the population until the mid to late 1960's. The assassination of JFK, which was all the more shocking due to the fact that it was the first televised assassination in American history, changed the fabric of the United States. Young people were not merely beginning to question the authority of their parents; they were questioning their rights as citizens, and to have a mistrust of their government.
The 1960's countercultural revolution in the US was not only brought on by political events. The birth of rock and roll in the late 1950's had changed the face of popular music forever, and many new musicians were emerging with a new look, and a new sound. Arguably, the most important band to emerge in the 1960's were not American, but British musicians. Ladies and gentlemen...
The Beatles!
The Beatles
The Beatles were part of the "British Invasion" of bands during the early to mid 1960's, who were becoming extremely popular with American youth. When they first appeared, they sported a clean-cut look, with short hair and suits. As their popularity grew into an international phenomenon, they began to change their appearance, and began to experiment with drugs. Both British, and American youth cultures were transformed by "Beatlemania", as it was called. As the band changed, young people changed with them. Not everyone was a fan of the strong opinions of John Lennon, one of The Beatles two front men. During an interview in 1966, John Lennon remarked that The Beatles had become "
more popular than Jesus
". This caused outrage in the Southern United States, and in Birmingham, Alabama, young people were urged by religious and social leaders to burn Beatles records. Consequently, this was the same part of the country where the civil rights movement was also taking place.
Bob Dylan
Another notable musician, and also an American, Bob Dylan also helped shape the countercultural structure of the 1960's. Dylan, who is still recording music today, started o.
The document provides a timeline of major eras in American literature from the Puritan era in the 1600s to the contemporary era. It includes the key authors, works, events, and movements that defined each era, such as Puritan writings in the 1600s, Revolutionary works in the 1700s, Romanticism and Transcendentalism in the 1800s, the Harlem Renaissance and World War I/II in the early 1900s, and the Civil Rights movement in the mid-1900s. The document is organized by era for easy navigation of American literary history.
Woodville Elementary School held a Black History Month event honoring Black leaders and the school's history of desegregation. The event featured presentations on influential Black figures like Harriet Tubman, George Washington Carver, and Martin Luther King Jr. It also highlighted local leaders involved in Tallahassee's bus boycott like Reverend Charles Kenzie Steele and Patricia Stephens Due. The school traced its own history from a one-room schoolhouse to its desegregation in the 1960s. The event aimed to teach students about the struggles and accomplishments of Black Americans.
1. The document discusses the growth of abolitionist sentiment in the United States in response to the increasing entrenchment of slavery. It outlines the rise of more radical abolitionists like William Lloyd Garrison who called for the immediate end of slavery without compensation to owners.
2. It focuses on the contributions of important African American abolitionists like David Walker, Frederick Douglass, and Sojourner Truth. David Walker published an influential text in 1829 calling for the end of slavery. Frederick Douglass escaped slavery and became a famous orator and publisher. Sojourner Truth was also a powerful orator who advocated for the abolition of slavery and women's rights.
3. Garrison emerged as a leading white abolition
A STUDY ON THE VARIOUS FORMS OF DISCRIMINATION IN HARPER LEE S TO KILL A MOC...Gina Rizzo
油
1. The document provides background information on Harper Lee and analyzes her novel To Kill a Mockingbird. It discusses Lee's childhood, education, career as a writer, and the themes and characters in her novel.
2. To Kill a Mockingbird takes place in 1930s Maycomb, Alabama and focuses on a lawyer named Atticus Finch who defends an African American man, Tom Robinson, against a false rape charge. The story is narrated by his daughter Scout Finch and explores issues of racial injustice and discrimination.
3. Harper Lee drew on her own experiences growing up in Alabama and worked for many years revising the novel before it was published in 1960. To Kill a Mocking
The document provides background information on Frederick Douglass, including key events in his life and roles. It discusses how he was born into slavery in 1818 and escaped in 1838, changing his last name. It outlines his work as an abolitionist, author, orator, and supporter of women's suffrage. It also provides context about the Civil War period and Douglass's involvement in recruiting black regiments to fight.
1. The document examines the relationship between brain anatomical networks and intelligence by analyzing structural, functional, and effective connectivity patterns.
2. It reviews concepts from graph theory and complex networks that are relevant for studying brain networks, including small-world networks and scale-free networks.
3. An experiment analyzed diffusion tensor images and other data from 79 subjects to construct and analyze anatomical brain networks and investigate their relationships with general and high intelligence.
Machine learning involves programming computers to optimize performance using example data or past experience. It is used when human expertise does not exist, humans cannot explain their expertise, solutions change over time, or solutions need to be adapted to particular cases. Learning builds general models from data to approximate real-world examples. There are several types of machine learning including supervised learning (classification, regression), unsupervised learning (clustering), and reinforcement learning. Machine learning has applications in many domains including retail, finance, manufacturing, medicine, web mining, and more.
This document summarizes Pooja's seminar presentation on machine learning. It introduces machine learning and compares it to traditional programming. It describes the main types of machine learning: supervised learning which uses labeled data to make predictions, unsupervised learning which finds patterns in unlabeled data, and reinforcement learning where an agent learns from feedback. The document discusses concepts like classification, regression, and feedback in machine learning systems. It also outlines some applications and concludes that machine learning can improve lives by advancing technology.
This document provides details of an industrial training presentation on artificial intelligence, machine learning, and deep learning that was delivered at the Centre for Advanced Studies in Lucknow, India from July 15th to August 14th, 2020. The presentation covered theoretical background on AI, machine learning, and deep learning. It was divided into 4 modules that discussed topics such as what machine learning is, supervised vs unsupervised learning, classification vs clustering, neural networks, activation functions, and applications of deep learning. The conclusion discussed how AI is impacting many industries and emerging technologies and will continue to be a driver of innovation.
GA is a search technique that depends on the natural selection and genetics principles and which determines a optimal solution for even a hard issue.genetic algorithm crossover and genetic algorithm for optimization
This document discusses different machine learning algorithms including supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning. Supervised learning uses labeled data to generate predictions, unsupervised learning finds patterns in unlabeled data through clustering and visualization, semi-supervised learning combines labeled and unlabeled data, and reinforcement learning uses rewards to learn behaviors. The document provides examples of applications for each type of learning such as price prediction, image clustering, and autonomous vehicles.
This document discusses genetic algorithms and how they are used for concept learning. It explains that genetic algorithms are inspired by biological evolution and use selection, crossover, and mutation to iteratively update a population of hypotheses. It then describes how genetic algorithms work, including representing hypotheses, genetic operators like crossover and mutation, fitness functions, and selection methods. Finally, it provides an example of a genetic algorithm called GABIL that was used for concept learning tasks.
Induction and Decision Tree Learning (Part 1)butest
油
The document discusses machine learning and inductive learning. It provides an overview of types of machine learning including supervised, unsupervised, and reinforcement learning. It also discusses the history of machine learning and how inductive learning works, with the goal being to construct a hypothesis h that approximates the target function f based on examples in the training data. Decision tree learning is introduced as a method for inductive learning.
Machine learning is the intersection of statistics and computer science that allows systems to answer questions by learning from available data rather than through explicit programming. A machine learning model is trained on sample data to learn patterns and make predictions on new data. The accuracy of a machine learning model depends on the quality and quantity of training data as well as the robustness of the model. Machine learning is used in applications like speech recognition, fraud detection, spam filtering, search engines, and facial recognition. More data leads to stronger machine learning models that can tackle increasingly complex problems such as medical diagnosis, game playing, and self-driving vehicles.
HEART DISEASE PREDICTION USING NAIVE BAYES ALGORITHMamiteshg
油
This document describes using a Naive Bayes classifier to predict the likelihood of heart disease. It discusses how a web-based application would take in a user's medical information and use a trained dataset to compare and retrieve hidden data to diagnose heart disease. The document provides an example of using Bayes' theorem to calculate the probability of breast cancer based on a positive mammogram. It explains the implementation of the Naive Bayes classifier and concludes that the model could help practitioners make accurate clinical decisions to diagnose and treat heart disease.
The document provides biographies of 10 prominent abolitionists from the 1830s-1860s who worked to end slavery in the United States. Some of the key abolitionists mentioned include William Lloyd Garrison, who co-founded the American Anti-Slavery Society; Frederick Douglass, who escaped slavery and became a famous abolitionist speaker; Harriet Tubman, who helped free hundreds of slaves through the Underground Railroad; and Harriet Beecher Stowe, who wrote Uncle Tom's Cabin to generate sympathy for abolitionism. Overall, the abolitionists used speeches, writings, and underground operations to end slavery and fight for racial equality in the antebellum United States.
The document contains brief biographies of 15 influential Black Americans from history and the present day. It includes details about their backgrounds, accomplishments, and contributions in fields such as government, civil rights, arts, science, and sports. The biographies range from one to four sentences in length.
The document summarizes and celebrates the achievements of several prominent LGBT activists throughout history. It profiles activists such as Fr. Mychal Judge, Tracy Chapman, Col. Margarethe Cammermeyer, Harvey Milk, George Washington Carver, Michael Callen, Margaret Cho, Bill T. Jones, Gad Beck, Sylvia Rivera, Leslie Feinberg, and Laverne Cox, describing their contributions to LGBT rights and equality movements. The profiles highlight how these individuals overcame discrimination and hardship to become leaders and advocates for LGBT communities and human rights.
This document highlights the accomplishments and achievements of 16 influential Black Americans throughout history. It provides brief biographies of notable figures such as Cicely Tyson, Harriet Tubman, Dr. Martin Luther King Jr., Rosa Parks, Maya Angelou, John Lewis, Billie Holiday, and Coleman A. Young, recognizing them for advancing civil rights and making significant impacts in various fields including acting, abolitionism, politics, literature, music, and more. The document celebrates Black History Month by honoring the legacies of these important individuals.
Carter G. Woodson founded Black History Week, which became Black History Month. The document profiles many important African American historical figures who fought against slavery and racial injustice, including Harriet Tubman, Frederick Douglass, Rosa Parks, Martin Luther King Jr., and Barack Obama. It also highlights influential leaders, activists, artists and scientists who made important contributions to American history and culture.
The early 1960s in America was fraught with fear looming over from .docxssuser454af01
油
The early 1960's in America was fraught with fear looming over from the onset of the cold war. John Fitzgerald Kennedy was sworn into office as the 35th President in January of 1961. Within a few months of taking office, he helped orchestrate the
Bay of Pigs Invasion
, which had a negative result. In 1962, the Cuban Missile Crisis unfolded, and the fear of communism in the United States was stronger than ever. 1963 signaled the beginnings of unrest in Laos and Vietnam, due to a perceived communist threat. Kennedy was preparing to face the crisis mounting in Southeast Asia when he was assassinated on November 22nd, 1963. The
assassination of JFK
was a pivotal moment not just for American history, but also for American popular culture.
The term
counterculture
has been defined as a culture with values and mores that run counter to, or against those, of established society. There has always been a counterculture to oppose the dominant culture in America, but this group tended to be in the minority of the population until the mid to late 1960's. The assassination of JFK, which was all the more shocking due to the fact that it was the first televised assassination in American history, changed the fabric of the United States. Young people were not merely beginning to question the authority of their parents; they were questioning their rights as citizens, and to have a mistrust of their government.
The 1960's countercultural revolution in the US was not only brought on by political events. The birth of rock and roll in the late 1950's had changed the face of popular music forever, and many new musicians were emerging with a new look, and a new sound. Arguably, the most important band to emerge in the 1960's were not American, but British musicians. Ladies and gentlemen...
The Beatles!
The Beatles
The Beatles were part of the "British Invasion" of bands during the early to mid 1960's, who were becoming extremely popular with American youth. When they first appeared, they sported a clean-cut look, with short hair and suits. As their popularity grew into an international phenomenon, they began to change their appearance, and began to experiment with drugs. Both British, and American youth cultures were transformed by "Beatlemania", as it was called. As the band changed, young people changed with them. Not everyone was a fan of the strong opinions of John Lennon, one of The Beatles two front men. During an interview in 1966, John Lennon remarked that The Beatles had become "
more popular than Jesus
". This caused outrage in the Southern United States, and in Birmingham, Alabama, young people were urged by religious and social leaders to burn Beatles records. Consequently, this was the same part of the country where the civil rights movement was also taking place.
Bob Dylan
Another notable musician, and also an American, Bob Dylan also helped shape the countercultural structure of the 1960's. Dylan, who is still recording music today, started o.
The document provides a timeline of major eras in American literature from the Puritan era in the 1600s to the contemporary era. It includes the key authors, works, events, and movements that defined each era, such as Puritan writings in the 1600s, Revolutionary works in the 1700s, Romanticism and Transcendentalism in the 1800s, the Harlem Renaissance and World War I/II in the early 1900s, and the Civil Rights movement in the mid-1900s. The document is organized by era for easy navigation of American literary history.
Woodville Elementary School held a Black History Month event honoring Black leaders and the school's history of desegregation. The event featured presentations on influential Black figures like Harriet Tubman, George Washington Carver, and Martin Luther King Jr. It also highlighted local leaders involved in Tallahassee's bus boycott like Reverend Charles Kenzie Steele and Patricia Stephens Due. The school traced its own history from a one-room schoolhouse to its desegregation in the 1960s. The event aimed to teach students about the struggles and accomplishments of Black Americans.
1. The document discusses the growth of abolitionist sentiment in the United States in response to the increasing entrenchment of slavery. It outlines the rise of more radical abolitionists like William Lloyd Garrison who called for the immediate end of slavery without compensation to owners.
2. It focuses on the contributions of important African American abolitionists like David Walker, Frederick Douglass, and Sojourner Truth. David Walker published an influential text in 1829 calling for the end of slavery. Frederick Douglass escaped slavery and became a famous orator and publisher. Sojourner Truth was also a powerful orator who advocated for the abolition of slavery and women's rights.
3. Garrison emerged as a leading white abolition
A STUDY ON THE VARIOUS FORMS OF DISCRIMINATION IN HARPER LEE S TO KILL A MOC...Gina Rizzo
油
1. The document provides background information on Harper Lee and analyzes her novel To Kill a Mockingbird. It discusses Lee's childhood, education, career as a writer, and the themes and characters in her novel.
2. To Kill a Mockingbird takes place in 1930s Maycomb, Alabama and focuses on a lawyer named Atticus Finch who defends an African American man, Tom Robinson, against a false rape charge. The story is narrated by his daughter Scout Finch and explores issues of racial injustice and discrimination.
3. Harper Lee drew on her own experiences growing up in Alabama and worked for many years revising the novel before it was published in 1960. To Kill a Mocking
The document provides background information on Frederick Douglass, including key events in his life and roles. It discusses how he was born into slavery in 1818 and escaped in 1838, changing his last name. It outlines his work as an abolitionist, author, orator, and supporter of women's suffrage. It also provides context about the Civil War period and Douglass's involvement in recruiting black regiments to fight.
Looking at women's history, when you are Black, needs an extra layer of research so that you can contextualize when someone lived and the social forces that influenced their lives.
In 1962-1963, several significant political and cultural changes occurred:
- James Meredith became the first African American student admitted to the University of Mississippi, sparking riots on campus.
- Pope Paul VI was elected and sought to improve relations with other Christian faiths.
- The Beatles' popularity exploded with their first singles and albums topping the charts, launching the "British Invasion" in North America.
- John F. Kennedy was assassinated in Dallas, Texas in 1963, leaving the country in mourning.
The document provides biographical information on several US presidents:
- George Washington was the first US President and led the Continental Army to victory in the Revolutionary War.
- James Garfield was the 20th President and one of the "lost presidents" who served briefly after the Civil War. He was assassinated just 100 days into his term.
- Franklin D. Roosevelt was the 32nd President who served the longest term. He led the US through the Great Depression and World War 2.
- John F. Kennedy was the 35th President who was assassinated in Dallas, Texas in 1963.
The document summarizes Martin Luther King Jr.'s famous "I Have a Dream" speech given at the 1963 March on Washington, in which he advocated for racial equality and an end to discrimination of African Americans. It also provides biographical details of Martin Luther King Jr. and Barack Obama, noting that King worked to end racial segregation and discrimination, while Obama became the first African American president of the United States, realizing King's dream of a multiracial society with equal rights.
Shirley Graham-DuBois was a pioneering African American playwright, composer, educator, and political activist whose accomplishments have been overlooked. She wrote the first opera with an all-black cast, held leadership roles in New Deal arts programs and the NAACP, and advocated for racial and gender equality. She married W.E.B. DuBois late in life and continued her activism, becoming a citizen of Ghana where she advised Kwame Nkrumah and helped develop the country's television network.
Shirley Graham-DuBois was a pioneering African American playwright, composer, educator, and political activist whose accomplishments have been overlooked. She wrote the first opera with an all-black cast, held leadership roles in New Deal arts programs and the NAACP, and advocated for racial and gender equality. Later in life, she served as an advisor in Ghana and Egypt before returning to the U.S. to continue her activism and writing until her death. Her biography highlights how she made significant contributions both independently and as W.E.B. DuBois' wife that have been neglected in historical records.
1. Happy Valentines Day! Black History Birthday Roll Call February 14 th ReachTeachLearnDiscernGoGrow
2. Frederick Douglass Born Valentines Day 1817 He was a Black abolitionist, orator, and writer, who escaped slavery and urged other Blacks to do likewise before and during the American Civil War. From Tuckahoe, Maryland, he was the son of a slave. He escaped slavery in 1838 by reaching New Bedford, Massachusetts. Following an antislavery convention in 1841, he became an agent of the Massachusetts Anti-Slavery Society. His work for the Underground Railroad did much to further the cause of the abolitionists and made his name a symbol of freedom. In 1845 Douglass went to England to escape the danger of Fugitive Slave Laws. His lectures on the question of slavery in the United States prompted many to raise funds to purchase his freedom. After returning to the United States in 1847, Douglass became the leader of the Underground Railroad in Rochester, New York. There he established the abolitionist newspaper North Star. During the presidential election of 1860 Douglass campaigned for Abraham Lincoln. Following the outbreak of the American Civil War, he helped raise two regiments of Black soldiers. After the war, Douglass fought for enactment of the 13th, 14th, and 15th Amendments to the Constitution of the United States. He later served in governmental positions, including U.S. minister to Haiti. Frederick Douglass died in 1895 in Washington D.C.
3. Gregory Hines Born Valentines Day 1946 He was an African-American tap dancer, choreographer, actor, singer, and director. From New York City he became involved in show business as a toddler. Hines was the brother of actor/dancer Maurice Hines. When he was two, his father had him in a dance act with his older brothers. Hines polished his dancing skills with master tap dancer Henry Le Tang. He was five when his father teamed Gregory with his big brother, Jake, to form the Hines Kids and later the Hines Brothers. The siblings spent much of their early careers dancing at the Apollo Theater and learned from such famed fellow performers as the Nicholas Brothers and Sandman Sims. Hines made his feature-film debut in The History of the World, Pt. I. He proved himself a versatile actor and starred in musical dramas (The Cotton Club and White Nights), straight dramas (The Preacher's Wife), comedy (Renaissance Man), sci-fi horror (Wolfen), and action films (Running Scared). In 1994, Hines directed Bleeding Hearts. Musically he released an album, simply titled Gregory Hines, in 1987. Though short-lived, he was seen on TVs Will and Grace. In addition, he did voice work for the Blues Clues Adventure, Big Blue's Treasure Hunt and the children's series Little Bill. Hines also appeared in Things You Can Tell Just by Looking at Her (2000), and Bojangles (2001), in which he portrayed the title role of legendary dancer Bill "Bojangles" Robinson. On August 9, 2003, Gregory Hines died of cancer in Los Angeles. He was 57. The lights of Broadway were dimmed in his honor.
4. Moneta Sleet Born Valentines Day 1926 He was an African-American photographer. From Owensboro, KY, he began taking photographs after his parents gave an old box camera. After graduating from high school, Sleet attended Kentucky State College and later he relocated to New York City. It was there that he earned a M.A. in journalism from NYU. In 1955, Sleet joined the staff at Ebony Magazine, covering many prominent moments of the Civil Rights Movement, the Nobel Peace Prize, and other world events. Sleets photos have been exhibited in a number of museums and libraries. In 1969, he was the first Black to receive a Pulitzer Prize in journalism for his photo of Coretta Scott King at the funeral of her husband Dr. Martin Luther King Jr. He wrote Special Moments in African American History: The photographs of Moneta Sleet, Jr. 1955-1996, which was published in 1999. Moneta Sleet died on September 30, 1996 in New York City.
5. Richard Allen Born Valentines Day 1760 He was a Black religious leader, founder and first bishop of the African Methodist Episcopal (AME) Church. Allen was born a slave in Philadelphia, PA. He grew up during the American Revolution; an era characterized by the advocacy of individual rights, the growth of denominational Christianity, and the inception of the antislavery movement. Around 1768, Allen's owner, a Philadelphia lawyer named Benjamin Chew, sold him, his three siblings, and his parents to Stokely Sturgis, a plantation owner in Delaware. With the permission of Sturgis, Allen began to attend Methodist meetings, and around 1777 he was converted to Methodism. Because Allen believed enslaved and free Black Americans could be best served through education and religious instruction, he opposed organizations that advocated the migration of Black Americans to Africa. Although the AME Church initiated missionary efforts in such countries as Haiti and Canada during the late 1820s, Allen kept the church focused on elevating Black Americans, especially those in the South. As he said, "We will never separate ourselves voluntarily from the slave population in this country; they are our brethren and we feel there is more virtue in suffering privations with them than fancied advantage for a season." The AME Church proliferated in the South after the Civil War and today has a membership of more than 1.2 million.
6. Charlotta Bass Born Valentines Day 1874 She was an African-American newspaper publisher, editor, and civil rights activist. Bass was born in Sumter, South Carolina, but she relocated to California for health reasons. Charlotta Bass took over control of The California Eagle in 1912 and served as its publisher until she retired in 1951. She and her husband Joseph Bass, who had served as editor of the Topeka and Montana Plain Dealer used The Eagle to push for reforms. They combated such issues as the derogatory images rampant in D.W. Griffith's film Birth of A Nation; Los Angeles' discriminatory hiring practices; the Ku Klux Klan; police brutality; and restrictive housing covenants. Bass' life was threatened on numerous occasions. She was branded a communist, and the FBI placed her under surveillance on the charge that her paper was disloyal. However, this never deterred her or The California Eagle from seeking civil and political rights for African-Americans and the disadvantaged. In 1952 she became the first African-American woman to run for national office as the Vice Presidential candidate for the Progressive Party. She died in 1969.
7. Oliver Harrington Born Valentines Day 1913 He was an African- American cartoonist. Ollie Harrington was from Valhalla, NY and began his interest in cartooning as a teenager when he drew caricatures of a teacher he considered a bigot. He was a graduate of Yale University and also studied at The National Academy of Design. He originated a number of comic strips including Dark Laughter. His most famous cartoon series, a chronicle of the trials and tribulations of a Harlem-born protagonist, Bootsie was created in 1936. This was while he worked as a temporary cartoonist at The Amsterdam News in New York City. Bootsie was a Black man Harrington described as a jolly, rather well-fed but soulful character. The cartoon also appeared in the many other newspapers including The Pittsburgh Courier; it was the first Black comic strip to receive national recognition. Harrington, well aware of the double standard in how Black people were dealt with in the United States, rarely turned the other cheek or bit his tongue. His criticism of the apathy about legislation regarding lynching came under questioning from the FBI during the McCarthy era and eventually Harrington left the United States. He lived in Paris for some years while writing for various American periodicals. Here he was part of a group of Black American expatriates, which included authors Richard Wright and Chester Himes. In later years, Harrington's cartoons satirized various issues including the Vietnam War, Watergate, the government, and social conditions in the U.S. Harrington moved to East Berlin in 1961 where he lived until his death in 1995.
8. Web Source: http://aaregistry.com/ Happy Valentines Day! Celebrate Black History