Understanding Machine Learning PDF ePub eBook

Books Info:

Understanding Machine Learning free pdf Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides a theoretical account of the fundamentals underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics, the book covers a wide array of central topics unaddressed by previous textbooks. These include a discussion of the computational complexity of learning and the concepts of convexity and stability- important algorithmic paradigms including stochastic gradient descent, neural networks, and structured output learning- and emerging theoretical concepts such as the PAC-Bayes approach and compression-based bounds. Designed for advanced undergraduates or beginning graduates, the text makes the fundamentals and algorithms of machine learning accessible to students and non-expert readers in statistics, computer science, mathematics and engineering.

About Shai Shalev-Shwartz

Shai Shalev-Shwartz is an Associate Professor at the School of Computer Science and Engineering at the Hebrew University of Jerusalem, Israel. Shai Ben-David is a Professor in the School of Computer Science at the University of Waterloo, Canada.

Details Book

Author : Shai Shalev-Shwartz
Publisher : Cambridge University Press
Data Published : 19 May 2014
ISBN : 1107057132
EAN : 9781107057135
Format Book : PDF, Epub, DOCx, TXT
Number of Pages : 409 pages
Age + : 18 years
Language : English
Rating :

Reviews Understanding Machine Learning



17 Comments Add a comment




Related eBooks Download


  • Foundations of Machine Learning free pdfFoundations of Machine Learning

    This graduate-level textbook introduces fundamental concepts and methods in machine learning. It describes several important modern algorithms. provides the theoretical underpinnings of these algorithms..


  • Optimization for Machine Learning free pdfOptimization for Machine Learning

    The interplay between optimization and machine learning is one of the most important developments in modern computational science. Optimization formulations and methods are proving to be vital in designing algorithms to extract essential knowledge from huge volumes of data..


  • Machine Learning free pdfMachine Learning

    Machine Learning: Concepts. Methodologies. Tools. and Applications offers a wide-ranging selection of key research in a complex field of study. This multi-volume set will cover both broad concepts and specific applications..


  • Handbook of Research on Machine Learning Applications and Trends free pdfHandbook of Research on Machine Learning Applications and Trends

    The machine learning approach provides a useful tool when the amount of data is very large and a model is not available to explain the generation and relation of the data set. ""The Handbook of Research on Machine Learning Applications and Trends: Algorithms..


  • Gaussian Processes for Machine Learning free pdfGaussian Processes for Machine Learning

    Gaussian processes (GPs) provide a principled. practical. probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past decade..


  • Understanding Machine Learning free pdfUnderstanding Machine Learning

    Read Online Books For Free Without Downloading. Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machi