Understanding Machine Learning

  • Publisher : Cambridge University Press
  • File Size : 44,6 Mb
  • Release : 19 May 2014
  • ISBN : 9781107057135
  • Page : 415 pages
  • Rating : 5/5 (2 users)

Summary: Understanding Machine Learning PDF is a Fantastic Computers book by Shai Shalev-Shwartz. It was published by Cambridge University Press on 19 May 2014. This Book has 415 pages and Available to download in PDF, EPUB and Kindle Format. Read detail book and summary below and click download button to get book file and read directly from your devices.

Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.

Understanding Machine Learning

Understanding Machine Learning
Author: Shai Shalev-Shwartz,Shai Ben-David
File Size : 49,7 Mb
Category: Computers

Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.

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Understanding Machine Learning

Understanding Machine Learning
Author: Shai Shalev-Shwartz,Shai Ben-David
File Size : 50,5 Mb
Category: Computers

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

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Understanding Machine Learning

Understanding Machine Learning
Author: Shai Shalev-Shwartz,Shai Ben-David
File Size : 45,8 Mb
Category: Computers

"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

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Interpretable Machine Learning

Interpretable Machine Learning
Author: Christoph Molnar
File Size : 55,5 Mb
Category: Computers

This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision

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Mathematics for Machine Learning

Mathematics for Machine Learning
Author: Marc Peter Deisenroth,A. Aldo Faisal,Cheng Soon Ong
File Size : 44,6 Mb
Category: Computers

Distills key concepts from linear algebra, geometry, matrices, calculus, optimization, probability and statistics that are used in machine learning.

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Foundations of Machine Learning second edition

Foundations of Machine Learning  second edition
Author: Mehryar Mohri,Afshin Rostamizadeh,Ameet Talwalkar
File Size : 45,7 Mb
Category: Computers

A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms. This book is a general introduction to machine learning that can serve

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Understanding Deep Learning

Understanding Deep Learning
Author: Chitta Ranjan, PH D
File Size : 44,5 Mb
Category: Computers

Think of deep learning as an art of cooking. One way to cook is to follow a recipe. But when we learn how the food, the spices, and the fire

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The Principles of Deep Learning Theory

The Principles of Deep Learning Theory
Author: Daniel A. Roberts,Sho Yaida,Boris Hanin
File Size : 45,5 Mb
Category: Computers

This volume develops an effective theory approach to understanding deep neural networks of practical relevance.

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Feature Learning and Understanding

Feature Learning and Understanding
Author: Haitao Zhao,Zhihui Lai,Henry Leung,Xianyi Zhang
File Size : 47,7 Mb
Category: Computers

This book covers the essential concepts and strategies within traditional and cutting-edge feature learning methods thru both theoretical analysis and case studies. Good features give good models and it is

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Applied Deep Learning

Applied Deep Learning
Author: Umberto Michelucci
File Size : 42,6 Mb
Category: Computers

Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural

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Machine Learning Foundations

Machine Learning Foundations
Author: Taeho Jo
File Size : 41,7 Mb
Category: Computers

This book provides conceptual understanding of machine learning algorithms though supervised, unsupervised, and advanced learning techniques. The book consists of four parts: foundation, supervised learning, unsupervised learning, and advanced learning.

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Practical Machine Learning

Practical Machine Learning
Author: Sunila Gollapudi
File Size : 46,6 Mb
Category: Computers

Tackle the real-world complexities of modern machine learning with innovative, cutting-edge, techniques About This Book Fully-coded working examples using a wide range of machine learning libraries and tools, including Python,

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Artificial Intelligence and Deep Learning in Pathology

Artificial Intelligence and Deep Learning in Pathology
Author: Stanley Cohen
File Size : 48,9 Mb
Category: Computers

Recent advances in computational algorithms, along with the advent of whole slide imaging as a platform for embedding artificial intelligence (AI), are transforming pattern recognition and image interpretation for diagnosis

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Hands On Machine Learning with R

Hands On Machine Learning with R
Author: Brad Boehmke,Brandon M. Greenwell
File Size : 46,6 Mb
Category: Computers

Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today’s most popular machine learning methods. This book serves as a practitioner’

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Machine Learning

Machine Learning
Author: Peter Flach
File Size : 54,7 Mb
Category: Computers

Covering all the main approaches in state-of-the-art machine learning research, this will set a new standard as an introductory textbook.

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