Learning from Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Learning from Data write by Yaser S. Abu-Mostafa. This book was released on 2012-01-01. Learning from Data available in PDF, EPUB and Kindle.
Learning from Data
Learning from Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Learning from Data write by Vladimir Cherkassky. This book was released on 2007-09-10. Learning from Data available in PDF, EPUB and Kindle. An interdisciplinary framework for learning methodologies—covering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the principles and methods for learning dependencies from data. It establishes a general conceptual framework in which various learning methods from statistics, neural networks, and fuzzy logic can be applied—showing that a few fundamental principles underlie most new methods being proposed today in statistics, engineering, and computer science. Complete with over one hundred illustrations, case studies, and examples making this an invaluable text.
The Art of Statistics
The Art of Statistics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Art of Statistics write by David Spiegelhalter. This book was released on 2019-09-03. The Art of Statistics available in PDF, EPUB and Kindle. In this "important and comprehensive" guide to statistical thinking (New Yorker), discover how data literacy is changing the world and gives you a better understanding of life’s biggest problems. Statistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the ostentatious embellishments from the raw evidence -- and even more so if we hope to participate in the future, rather than being simple bystanders. In The Art of Statistics, world-renowned statistician David Spiegelhalter shows readers how to derive knowledge from raw data by focusing on the concepts and connections behind the math. Drawing on real world examples to introduce complex issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether a notorious serial killer could have been caught earlier, and if screening for ovarian cancer is beneficial. The Art of Statistics not only shows us how mathematicians have used statistical science to solve these problems -- it teaches us how we too can think like statisticians. We learn how to clarify our questions, assumptions, and expectations when approaching a problem, and -- perhaps even more importantly -- we learn how to responsibly interpret the answers we receive. Combining the incomparable insight of an expert with the playful enthusiasm of an aficionado, The Art of Statistics is the definitive guide to stats that every modern person needs.
Transforming Teaching and Learning Through Data-Driven Decision Making
Transforming Teaching and Learning Through Data-Driven Decision Making - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Transforming Teaching and Learning Through Data-Driven Decision Making write by Ellen B. Mandinach. This book was released on 2012-04-10. Transforming Teaching and Learning Through Data-Driven Decision Making available in PDF, EPUB and Kindle. "Gathering data and using it to inform instruction is a requirement for many schools, yet educators are not necessarily formally trained in how to do it. This book helps bridge the gap between classroom practice and the principles of educational psychology. Teachers will find cutting-edge advances in research and theory on human learning and teaching in an easily understood and transferable format. The text's integrated model shows teachers, school leaders, and district administrators how to establish a data culture and transform quantitative and qualitative data into actionable knowledge based on: assessment; statistics; instructional and differentiated psychology; classroom management."--Publisher's description.
Linear Algebra and Learning from Data
Linear Algebra and Learning from Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Linear Algebra and Learning from Data write by Gilbert Strang. This book was released on 2019-01-31. Linear Algebra and Learning from Data available in PDF, EPUB and Kindle. Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, the first textbook that teaches linear algebra together with deep learning and neural nets. This readable yet rigorous textbook contains a complete course in the linear algebra and related mathematics that students need to know to get to grips with learning from data. Included are: the four fundamental subspaces, singular value decompositions, special matrices, large matrix computation techniques, compressed sensing, probability and statistics, optimization, the architecture of neural nets, stochastic gradient descent and backpropagation.
