Learning Algorithms

Learning Algorithms
Author :
Publisher : "O'Reilly Media, Inc."
Total Pages : 281
Release :
ISBN-10 : 9781492091035
ISBN-13 : 1492091030
Rating : 4/5 (030 Downloads)

Book Synopsis Learning Algorithms by : George Heineman

Download or read book Learning Algorithms written by George Heineman and published by "O'Reilly Media, Inc.". This book was released on 2021-07-20 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: When it comes to writing efficient code, every software professional needs to have an effective working knowledge of algorithms. In this practical book, author George Heineman (Algorithms in a Nutshell) provides concise and informative descriptions of key algorithms that improve coding in multiple languages. Software developers, testers, and maintainers will discover how algorithms solve computational problems creatively. Each chapter builds on earlier chapters through eye-catching visuals and a steady rollout of essential concepts, including an algorithm analysis to classify the performance of every algorithm presented in the book. At the end of each chapter, youâ??ll get to apply what youâ??ve learned to a novel challenge problemâ??simulating the experience you might find in a technical code interview. With this book, you will: Examine fundamental algorithms central to computer science and software engineering Learn common strategies for efficient problem solvingâ??such as divide and conquer, dynamic programming, and greedy approaches Analyze code to evaluate time complexity using big O notation Use existing Python libraries and data structures to solve problems using algorithms Understand the main steps of important algorithms


Learning Algorithms Related Books

Learning Algorithms
Language: en
Pages: 281
Authors: George Heineman
Categories: Computers
Type: BOOK - Published: 2021-07-20 - Publisher: "O'Reilly Media, Inc."

DOWNLOAD EBOOK

When it comes to writing efficient code, every software professional needs to have an effective working knowledge of algorithms. In this practical book, author
Unsupervised Learning Algorithms
Language: en
Pages: 564
Authors: M. Emre Celebi
Categories: Technology & Engineering
Type: BOOK - Published: 2016-04-29 - Publisher: Springer

DOWNLOAD EBOOK

This book summarizes the state-of-the-art in unsupervised learning. The contributors discuss how with the proliferation of massive amounts of unlabeled data, un
Understanding Machine Learning
Language: en
Pages: 415
Authors: Shai Shalev-Shwartz
Categories: Computers
Type: BOOK - Published: 2014-05-19 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying thei
Machine Learning Algorithms
Language: en
Pages: 360
Authors: Giuseppe Bonaccorso
Categories: Computers
Type: BOOK - Published: 2017-07-24 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Build strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guide About This Book Get started in the
Pro Machine Learning Algorithms
Language: en
Pages: 379
Authors: V Kishore Ayyadevara
Categories: Computers
Type: BOOK - Published: 2018-06-30 - Publisher: Apress

DOWNLOAD EBOOK

Bridge the gap between a high-level understanding of how an algorithm works and knowing the nuts and bolts to tune your models better. This book will give you t