Coursera ml 2014
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Anand Muglikar successfully completed the online Machine Learning course provided by Stanford University through Coursera in June 2014. The course, taught by Associate Professor Andrew Ng of Stanford's Computer Science Department, required students to watch lectures, review questions, and complete programming assignments to finish. This statement acknowledges Anand's completion of the online course but does not confer an official Stanford grade, credit, or degree.
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Coursera ml 2014
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国家人才库入库：认证后，你的信息将被纳入国家人才库，并且可以在国家人才网等平台上展示，供包括500强公司等大型公司挑选和聘用人才。这对于回国找工作特别是进入大公司，具有非常积极的作用。
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The Role of Christopher Campos Orlando in Sustainability Analytics
The Role of Christopher Campos Orlando in Sustainability Analyticschristophercamposus1
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Christopher Campos Orlando specializes in leveraging data to promote sustainability and environmental responsibility. With expertise in carbon footprint analysis, regulatory compliance, and green business strategies, he helps organizations integrate sustainability into their operations. His data-driven approach ensures companies meet ESG standards while achieving long-term sustainability goals.
MusicAggregators and comparissons distributions.pdf
MusicAggregators and comparissons distributions.pdfirramos8843
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Main Reason: Its flat annual fee and unlimited uploads make it cost-effective for independent artists with multiple releases. 
MLecture 1 Introduction to AI . The basics.pptx
MLecture 1 Introduction to AI . The basics.pptxFaizaKhan720183
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Machine learning and artificial intelligence introduction. Machine learning and artificial intelligence introduction.Machine learning and artificial intelligence introduction.Machine learning and artificial intelligence introduction.Machine learning and artificial intelligence introduction.Machine learning and artificial intelligence introduction.Machine learning and artificial intelligence introduction.Machine learning and artificial intelligence introduction.AI + Disability. Coded Futures: Better opportunities or biased outcomes?
AI + Disability. Coded Futures: Better opportunities or biased outcomes?Christine Hemphill
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A summary report into attitudes to and implications of AI as it relates to disability. Will AI enabled solutions create greater opportunities or amplify biases in society and datasets? Informed by primary mixed methods research conducted in the UK and globally by Open Inclusion on behalf of the Institute of People Centred AI, Uni of Surrey and Royal Holloway University. Initially presented at Google London in Jan 2025.
If you prefer an audio visual format you can access the full video recorded at Google ADC London where we presented this research in January 2025. It has captioned content and audio described visuals and is available at https://www.youtube.com/watch?v=p_1cv042U_U. There is also a short Fireside Chat about the research held at Zero Project Conference March 2025 available at https://www.youtube.com/live/oFCgIg78-mI?si=EoIaEgDw2U7DFXsN&t=11879.
If 狠狠撸 Share's format is not accessible to you in any way, please contact us at contact@openinclusion.com and we can provide you with the underlying document. Deep-QPP: A Pairwise Interaction-based Deep Learning Model for Supervised Que...
Deep-QPP: A Pairwise Interaction-based Deep Learning Model for Supervised Que...suchanadatta3
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Motivated by the recent success of end-to-end deep neural models
for ranking tasks, we present here a supervised end-to-end neural
approach for query performance prediction (QPP). In contrast to
unsupervised approaches that rely on various statistics of document
score distributions, our approach is entirely data-driven. Further,
in contrast to weakly supervised approaches, our method also does
not rely on the outputs from different QPP estimators. In particular, our model leverages information from the semantic interactions between the terms of a query and those in the top-documents retrieved with it. The architecture of the model comprises multiple layers of 2D convolution filters followed by a feed-forward layer of parameters. Experiments on standard test collections demonstrate
that our proposed supervised approach outperforms other state-of-the-art supervised and unsupervised approaches.the data analytics process:Real life applications
the data analytics process:Real life applicationsjhanvisaxena30
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the data analytics process: Real life applicationsIntroduction to database and analysis software’s suitable for.pptx
Introduction to database and analysis software’s suitable for.pptxnabinparajuli9
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This ppt provides brief introduction and major strengths and limitations of database and analysis software’s suitable for health research.
CloudMonitor - Architecture Audit Review February 2025.pdf
CloudMonitor - Architecture Audit Review February 2025.pdfRodney Joyce
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CloudMonitor FinOps is now a Microsoft Certified solution in the Azure Marketplace. This little badge means that we passed a 3rd-party Technical Audit as well as met various sales KPIs and milestones over the last 12 months.
We used our existing Architecture docs for CISOs and Cloud Architects to craft an Audit Response - I've shared it below to help others obtain their cert.
Interestingly, 90% of our customers are in the USA, with very few in Australia. This is odd as the first thing I hear in every meetup and conference, from partners, customers and Microsoft, is that they want to optimise their cloud spend! But very few Australian companies are using the FinOps Framework to lower Azure costs.
Boosting MySQL with Vector Search Scale22X 2025.pdf
Boosting MySQL with Vector Search Scale22X 2025.pdfAlkin Tezuysal
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As the demand for vector databases and Generative AI continues to rise, integrating vector storage and search capabilities into traditional databases has become increasingly important. This session introduces the *MyVector Plugin*, a project that brings native vector storage and similarity search to MySQL. Unlike PostgreSQL, which offers interfaces for adding new data types and index methods, MySQL lacks such extensibility. However, by utilizing MySQL's server component plugin and UDF, the *MyVector Plugin* successfully adds a fully functional vector search feature within the existing MySQL + InnoDB infrastructure, eliminating the need for a separate vector database. The session explains the technical aspects of integrating vector support into MySQL, the challenges posed by its architecture, and real-world use cases that showcase the advantages of combining vector search with MySQL's robust features. Attendees will leave with practical insights on how to add vector search capabilities to their MySQL
A Relative Information Gain-based Query Performance Prediction Framework with...
A Relative Information Gain-based Query Performance Prediction Framework with...suchanadatta3
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To improve the QPP estimate for neural models, we propose to use additional information from a set of queries that express a similar information need to the current one (these queries are called variants). The key idea of our proposed method, named Weighted Relative Information Gain (WRIG), is to estimate the performance of these variants, and then to improve the QPP estimate of the original query based on the relative differences with the variants. The hypothesis is that if a query’s estimate is significantly higher than the average QPP score of its variants, then the original query itself is assumed (with a higher confidence) to be one for which a retrieval model works well.
Coursera ml 2014
- 1. Online Course Statement of Accomplishment JUNE 04, 2014 ANAND MUGLIKAR HAS SUCCESSFULLY COMPLETED A FREE ONLINE OFFERING OF THE FOLLOWING COURSE PROVIDED BY STANFORD UNIVERSITY THROUGH COURSERA INC. Machine Learning Congratulations! You have successfully completed the online Machine Learning course (ml-class.org). To successfully complete the course, students were required to watch lectures, review questions and complete programming assignments. ASSOCIATE PROFESSOR ANDREW NG COMPUTER SCIENCE DEPARTMENT STANFORD UNIVERSITY PLEASE NOTE: SOME ONLINE COURSES MAY DRAW ON MATERIAL FROM COURSES TAUGHT ON CAMPUS BUT THEY ARE NOT EQUIVALENT TO ON-CAMPUS COURSES. THIS STATEMENT DOES NOT AFFIRM THAT THIS STUDENT WAS ENROLLED AS A STUDENT AT STANFORD UNIVERSITY IN ANY WAY. IT DOES NOT CONFER A STANFORD UNIVERSITY GRADE, COURSE CREDIT OR DEGREE, AND IT DOES NOT VERIFY THE IDENTITY OF THE STUDENT.