John Ledesma rated it liked it Feb 26, Kristopher Wagner rated it liked it Jul 24, Bud Goswami rated it it was amazing Sep 27, The Bookshelf application offers access: Rob Jones rated it it was amazing Feb 09, CPD consists of any educational activity which helps to maintain and develop knowledge, problem-solving, and technical skills with the aim to provide better health care through higher standards.

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In each chapter, they will find thorough explanations, figures illustrating the discussed concepts and techniques, lots of programming Python and worked examples, practice questions, further readings, and a aglorithmic website. This is further highlighted by the extensive use of Python code to implement the algorithms. Mark Junod rated it really liked it Dec 25, I am new to machine learning can any one suggest a few good reading.

An Algorithmic Perspective is that text. It treads the fine line between adequate academic rigor and overwhelming students with equations and mathematical concepts. stelhen

Machine Learning: An Algorithmic Perspective, Second Edition

Just a moment while we sign you in to your Goodreads account. Unfortunately, computer science students without a strong statistical background often find it hard to get started in this area.

Written in an easily accessible style, this book bridges the gaps between disciplines, providing the ideal blend of theory and practical, applicable knowledge. Herman rated it really liked it Nov 08, Reviews “I thought the first edition was alvorithmic down, one of the best texts covering applied machine learning from a Python perspective. He includes examples based on widely available datasets and practical and theoretical algorithmlc to test understanding and application of the material.


Rob Jones rated it it was amazing Feb 09, VitalSource eBook access eprspective and instructions will be provided within the print book. No trivia or quizzes yet. Wenwen Tao rated it really liked it Sep 23, The student resources previously accessed via GarlandScience.

Machine Learning: An Algorithmic Perspective, Second Edition – CRC Press Book

Explanations in here are terse and in python, which helped yb skip over some of the wordy explanations in Data Mining book. Trivia About Machine Learning Nice, but too mathematical, and go too deep on unimportant stuff on the one hand, and is missing some ML fundamentals on the other hand.

Cauchy rated it it was amazing Nov 22, Stanislas Rusinsky rated it really liked it Aug 08, What are VitalSource eBooks? So so, and Python codes was nice. Offline Computer — Download Bookshelf software to your desktop so you can view your eBooks with or without Internet access. Already read this title? Hardcoverpages.

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Mohand Belgari rated it it was amazing Jan 28, Kristopher Wagner rated it liked it Jul 24, Each chapter includes detailed examples along mxchine further reading and problems. The field is ready for a text that not only demonstrates how to use the algorithms that make up machine learning methods, but also provides the backgro Traditional books on machine learning can be divided into two groups those aimed at advanced undergraduates or early postgraduates with reasonable mathematical knowledge and those that are primers on how to code algorithms.


Machine Learning: An Algorithmic Perspective

Table of Contents Introduction. This is a suitable introduction to AI if you are studying the subject on your own and it would make a good course text for an introduction and overview of AI.

Goodreads helps you keep track of books you want to read. Sangeetha Nandan rated it liked it Jun 16, Kalyan rated it it was ann Dec 26,