This document appears to be a book or course with the title "Introduction to Data Science in Python" by E.J. Siljander. It has a catalog number of 21,434,265 and was published or created on October 15, 2021.
This document contains the resume of Namathoti Siva. It summarizes his educational qualifications, including an M.Tech from IIT Guwahati and B.Tech from RGUKT, AP. It also lists his projects, including designing a multi-processor FPGA for HFT applications and implementing a low power carry select adder. Additional details provided include technical skills, courses taken, teaching experience, extracurricular activities, and accomplishments like securing top 1% in SSC.
Arnaud Pecoraro is a computer science student seeking a 6-month software engineering internship. He has a Master's degree in computer science from the University of Technology of Troyes with coursework in data structures, signal processing, coding theory, UML design, OOP, and networking. He also has experience building an Arduino-based thermoregulation system, programming Arduino systems, and working in a rolling shutter factory. His skills include programming languages like Java, Python, C, C++, and VHDL, as well as electronics, Linux, networking, and Docker.
This document is a resume for Penglun Li that outlines his professional experience and education. It summarizes that he has 4 years of experience as a design validation testing engineer at Motorola Mobility, where he performed both manual and automated testing on mobile phones and watches to identify bugs. It also notes that he has a Master's degree in Electrical and Computer Engineering from Illinois Institute of Technology and conducted various class projects involving programming in languages like C, C++, Python, and Java.
Arnaud Pecoraro is a 22-year-old computer science student specializing in embedded systems seeking a 6-month internship in software engineering starting in early 2016. He has experience with programming languages like Java, Python, C, C++, and electronics platforms including Arduino, AVR microcontrollers, and FPGAs. His projects include developing systems like an alarm clock, weather station with Arduino, and a personal server using Docker.
This document summarizes Marilyn Waldman's educational and professional journey in computing. It outlines her studies in chemistry and biology in the 1970s, coursework in computer science, programming languages, and algorithms at the University of Colorado from 1980-1983. It then discusses her field of study in distributed programming and introduction to big data with Apache Spark. The document provides a brief history of computing and highlights several important developments from WWII code breaking to the creation of UNIX, Ethernet, the personal computer, and the internet.
Eero Siljander is a data engineer and scientist with over 15 years of experience in IT. He has expertise in Python, R, SQL, Azure, PowerBI, machine learning, and data science. His background includes roles as a cloud solution consultant, IT consultant, data scientist, project manager, and real estate manager. He has extensive experience developing analytics solutions and dashboards across various industries.
This document appears to be a technical report or paper discussing supervised machine learning techniques using the scikit-learn library in Python. The author is E.J. Siljander and it was published on October 12, 2021.
Artificial Intelligence, IoT and Machine Learning of Sports. Especially soccer but applicable to NHL, KHL, SM-liiga, Mestis etc. Fenwick, Corsi, FOW, PPG, PIM etc. player and ice hockey match analysis.
Eero Siljander project managing work at Monzuun Oy, www.monzuun.com. Co-operation with HVAC engineering at www.hvac.fi. Data Science of IoT and real-estate and building automation. Selecting IoT framework and software and sensor systems. Calibrating engine power and electricity usage by artificial intelligence, machine learning and statistical analysis.
Here is 4-ALL you need a list of things to develop and improve in your project managers work. Try to set a clear Product, Concept or Functional Algorithm goal = A truely NEW finding or Achievementor Product ! (not evo-version of something existing).
Eero Siljander has been awarded certificate #12198487 for successfully completing the online course "Correlation and Regression in R" on January 28, 2020.
STM-study on social and health expenditure with forecasts to year 2050. Insights and new ideas on how to lower expenditure. For example different population health improvements, social benefit index changes or Long-term care deviation more to end of life, e.g. less years in hospital care and 24h extensive care.
Economics of Long-term care family decisions_ESEero Siljander
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This document summarizes a literature review on the economic factors related to demand for formal and informal elderly care. It discusses three main topics: 1) Economic and socioeconomic factors that influence demand for institutional care, such as wealth, education, and family characteristics. 2) How economic incentives and altruism affect family decisions around informal versus formal care, and policies to encourage home care. 3) Whether governments and insurers can effectively screen and insure for long-term care needs. The review examines literature primarily from the US, Europe, and Nordic countries on these themes from an economics perspective.
Plant diseases pose a significant threat to agricultural productivity. Early detection and classification of plant diseases can help mitigate losses. This project focuses on building a Plant Disease Prediction system using Convolutional Neural Networks (CNNs). The system leverages NumPy, TensorFlow, and Streamlit to develop a model and deploy a web-based application. The final model is also containerized using Docker for efficient deployment.
Eero Siljander is a data engineer and scientist with over 15 years of experience in IT. He has expertise in Python, R, SQL, Azure, PowerBI, machine learning, and data science. His background includes roles as a cloud solution consultant, IT consultant, data scientist, project manager, and real estate manager. He has extensive experience developing analytics solutions and dashboards across various industries.
This document appears to be a technical report or paper discussing supervised machine learning techniques using the scikit-learn library in Python. The author is E.J. Siljander and it was published on October 12, 2021.
Artificial Intelligence, IoT and Machine Learning of Sports. Especially soccer but applicable to NHL, KHL, SM-liiga, Mestis etc. Fenwick, Corsi, FOW, PPG, PIM etc. player and ice hockey match analysis.
Eero Siljander project managing work at Monzuun Oy, www.monzuun.com. Co-operation with HVAC engineering at www.hvac.fi. Data Science of IoT and real-estate and building automation. Selecting IoT framework and software and sensor systems. Calibrating engine power and electricity usage by artificial intelligence, machine learning and statistical analysis.
Here is 4-ALL you need a list of things to develop and improve in your project managers work. Try to set a clear Product, Concept or Functional Algorithm goal = A truely NEW finding or Achievementor Product ! (not evo-version of something existing).
Eero Siljander has been awarded certificate #12198487 for successfully completing the online course "Correlation and Regression in R" on January 28, 2020.
STM-study on social and health expenditure with forecasts to year 2050. Insights and new ideas on how to lower expenditure. For example different population health improvements, social benefit index changes or Long-term care deviation more to end of life, e.g. less years in hospital care and 24h extensive care.
Economics of Long-term care family decisions_ESEero Siljander
Ìý
This document summarizes a literature review on the economic factors related to demand for formal and informal elderly care. It discusses three main topics: 1) Economic and socioeconomic factors that influence demand for institutional care, such as wealth, education, and family characteristics. 2) How economic incentives and altruism affect family decisions around informal versus formal care, and policies to encourage home care. 3) Whether governments and insurers can effectively screen and insure for long-term care needs. The review examines literature primarily from the US, Europe, and Nordic countries on these themes from an economics perspective.
Plant diseases pose a significant threat to agricultural productivity. Early detection and classification of plant diseases can help mitigate losses. This project focuses on building a Plant Disease Prediction system using Convolutional Neural Networks (CNNs). The system leverages NumPy, TensorFlow, and Streamlit to develop a model and deploy a web-based application. The final model is also containerized using Docker for efficient deployment.
19th Edition Of International Research Data Analysis Excellence Awardsdataanalysisconferen
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19th Edition Of International Research Data Analysis Excellence Awards
International Research Data Analysis Excellence Awards is the Researchers and Research organizations around the world in the motive of Encouraging and Honoring them for their Significant contributions & Achievements for the Advancement in their field of expertise. Researchers and scholars of all nationalities are eligible to receive ScienceFather Research Data Analysis Excellence Awards. Nominees are judged on past accomplishments, research excellence and outstanding academic achievements.
Place: San Francisco, United States
Visit Our Website: https://researchdataanalysis.com
Nomination Link: https://researchdataanalysis.com/award-nomination
Optimizing Common Table Expressions in Apache Hive with CalciteStamatis Zampetakis
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In many real-world queries, certain expressions may appear multiple times, requiring repeated computations to construct the final result. These recurring computations, known as common table expressions (CTEs), can be explicitly defined in SQL queries using the WITH clause or implicitly derived through transformation rules. Identifying and leveraging CTEs is essential for reducing the cost of executing complex queries and is a critical component of modern data management systems.
Apache Hive, a SQL-based data management system, provides powerful mechanisms to detect and exploit CTEs through heuristic and cost-based optimization techniques.
This talk delves into the internals of Hive's planner, focusing on its integration with Apache Calcite for CTE optimization. We will begin with a high-level overview of Hive's planner architecture and its reliance on Calcite in various planning phases. The discussion will then shift to the CTE rewriting phase, highlighting key Calcite concepts and demonstrating how they are employed to optimize CTEs effectively.
Guide to Retrieval-Augmented Generation (RAG) and Contextual Augmented Genera...Doug Ortiz
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This document serves as a comprehensive guide to understanding Retrieval-Augmented Generation (RAG) and Contextual Augmented Generation (CAG). These innovative AI paradigms are reshaping content generation across various sectors. We will delve into their foundational principles, explore practical use cases, outline implementation strategies, and discuss performance measurement and common pitfalls.
BEST MACHINE LEARNING INSTITUTE IS DICSITCOURSESgs5545791
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Machine learning is revolutionizing the way technology interacts with data, enabling systems to learn, adapt, and make intelligent decisions without human intervention. It plays a crucial role in various industries, from healthcare and finance to automation and artificial intelligence. If you want to build a successful career in this field, joining the Best Machine Learning Institute In Rohini is the perfect step. With expert-led training, hands-on projects, and industry-recognized certifications, you’ll gain the skills needed to thrive in the AI-driven world. If you are interested, then Enroll Fast – limited seats are available!
Valkey 101 - SCaLE 22x March 2025 Stokes.pdfDave Stokes
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An Introduction to Valkey, Presented March 2025 at the Southern California Linux Expo, Pasadena CA. Valkey is a replacement for Redis and is a very fast in memory database, used to caches and other low latency applications. Valkey is open-source software and very fast.
9th Edition of International Research Awards |28-29 March 2025 | San Francisco, United States
The International Research Awards recognize exceptional research contributions, innovation, and excellence across various fields. This prestigious award honors outstanding researchers, scientists, and scholars who have made significant impacts in their respective disciplines, fostering a culture of innovation and discovery.