20 Best Learning Algorithms Ebooks [2024]

Are you looking for the best learning algorithms ebooks? Based on expert reviews, we ranked them. We've listed our top-ranked picks, including the top-selling learning algorithms ebooks.

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# Preview Product
1 Learning Algorithms Learning Algorithms
2 Easy Learning Data Structures & Algorithms C++: Graphic Data Structures & Algorithms (C++ Foundation... Easy Learning Data Structures & Algorithms C++: Graphic Data Structures & Algorithms (C++...
3 Modern Data Mining Algorithms in C++ and CUDA C: Recent Developments in Feature Extraction and... Modern Data Mining Algorithms in C++ and CUDA C: Recent Developments in Feature Extraction and...
4 Grokking Algorithms: A Complete Beginner’s Guide for the Effective Learning of Algorithms Grokking Algorithms: A Complete Beginner’s Guide for the Effective Learning of Algorithms
5 Mastering Machine Learning Algorithms: Expert techniques for implementing popular machine learning... Mastering Machine Learning Algorithms: Expert techniques for implementing popular machine...
6 Easy Learning Data Structures & Algorithms ES6+Javascript: Classic data structures and algorithms in... Easy Learning Data Structures & Algorithms ES6+Javascript: Classic data structures and algorithms...
7 Tree-based Machine Learning Algorithms: Decision Trees, Random Forests, and Boosting Tree-based Machine Learning Algorithms: Decision Trees, Random Forests, and Boosting
8 The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
9 Machine Learning Refined: Foundations, Algorithms, and Applications Machine Learning Refined: Foundations, Algorithms, and Applications
10 The Art of Machine Learning: Algorithms + Data + R The Art of Machine Learning: Algorithms + Data + R
11 Hands-On Machine Learning with ML.NET: Getting started with Microsoft ML.NET to implement popular... Hands-On Machine Learning with ML.NET: Getting started with Microsoft ML.NET to implement popular...
12 40 Algorithms Every Programmer Should Know: Hone your problem-solving skills by learning different... 40 Algorithms Every Programmer Should Know: Hone your problem-solving skills by learning...
13 Easy Learning Data Structures & Algorithms Java Practice: Graphically learn data structures and... Easy Learning Data Structures & Algorithms Java Practice: Graphically learn data structures and...
14 Learning Genetic Algorithms with Python: Empower the performance of Machine Learning and AI models... Learning Genetic Algorithms with Python: Empower the performance of Machine Learning and AI...
15 The Supervised Learning Workshop: A New, Interactive Approach to Understanding Supervised Learning... The Supervised Learning Workshop: A New, Interactive Approach to Understanding Supervised...
16 Machine Learning: Step-by-Step Guide To Implement Machine Learning Algorithms with Python... Machine Learning: Step-by-Step Guide To Implement Machine Learning Algorithms with Python...
17 Graphic Go Algorithms: Graphically learn data structures and algorithms better than before (Easy... Graphic Go Algorithms: Graphically learn data structures and algorithms better than before (Easy...
18 Elements of Causal Inference: Foundations and Learning Algorithms (Adaptive Computation and Machine... Elements of Causal Inference: Foundations and Learning Algorithms (Adaptive Computation and...
19 Guide to Competitive Programming: Learning and Improving Algorithms Through Contests (Undergraduate... Guide to Competitive Programming: Learning and Improving Algorithms Through Contests...
20 Machine Learning for Cybersecurity Cookbook: Over 80 recipes on how to implement machine learning... Machine Learning for Cybersecurity Cookbook: Over 80 recipes on how to implement machine learning...
Bestseller No. 1
Learning Algorithms
  • Amazon Kindle Edition
  • Heineman, George (Author)
  • English (Publication Language)
  • 280 Pages - 07/20/2021 (Publication Date) - O'Reilly Media (Publisher)
Bestseller No. 2
Easy Learning Data Structures & Algorithms C++: Graphic Data Structures & Algorithms (C++ Foundation...
  • Amazon Kindle Edition
  • Hu, Yang (Author)
  • English (Publication Language)
  • 266 Pages - 09/27/2019 (Publication Date)
Bestseller No. 3
Modern Data Mining Algorithms in C++ and CUDA C: Recent Developments in Feature Extraction and...
  • Amazon Kindle Edition
  • Masters, Timothy (Author)
  • English (Publication Language)
  • 242 Pages - 06/05/2020 (Publication Date) - Apress (Publisher)
Bestseller No. 4
Grokking Algorithms: A Complete Beginner’s Guide for the Effective Learning of Algorithms
  • Amazon Kindle Edition
  • Christian, Dylan (Author)
  • English (Publication Language)
  • 125 Pages - 09/05/2022 (Publication Date)
Bestseller No. 5
Mastering Machine Learning Algorithms: Expert techniques for implementing popular machine learning...
  • Amazon Kindle Edition
  • Bonaccorso, Giuseppe (Author)
  • English (Publication Language)
  • 1034 Pages - 01/31/2020 (Publication Date) - Packt Publishing (Publisher)
Bestseller No. 6
Easy Learning Data Structures & Algorithms ES6+Javascript: Classic data structures and algorithms in...
  • Amazon Kindle Edition
  • hu, yang (Author)
  • English (Publication Language)
  • 247 Pages - 05/28/2019 (Publication Date)
Bestseller No. 7
Tree-based Machine Learning Algorithms: Decision Trees, Random Forests, and Boosting
  • Amazon Kindle Edition
  • Sheppard, Clinton (Author)
  • English (Publication Language)
  • 112 Pages - 08/27/2017 (Publication Date)
Bestseller No. 8
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
  • Amazon Kindle Edition
  • Domingos, Pedro (Author)
  • English (Publication Language)
  • 354 Pages - 09/22/2015 (Publication Date) - Basic Books (Publisher)
Bestseller No. 9
Machine Learning Refined: Foundations, Algorithms, and Applications
  • Amazon Kindle Edition
  • Watt, Jeremy (Author)
  • English (Publication Language)
  • 594 Pages - 01/09/2020 (Publication Date) - Cambridge University Press (Publisher)
Bestseller No. 10
The Art of Machine Learning: Algorithms + Data + R
  • Amazon Kindle Edition
  • Matloff, Norman (Author)
  • English (Publication Language)
  • 06/13/2023 (Publication Date) - No Starch Press (Publisher)
Bestseller No. 11
Hands-On Machine Learning with ML.NET: Getting started with Microsoft ML.NET to implement popular...
  • Amazon Kindle Edition
  • Capellman, Jarred (Author)
  • English (Publication Language)
  • 296 Pages - 03/27/2020 (Publication Date) - Packt Publishing (Publisher)
Bestseller No. 12
40 Algorithms Every Programmer Should Know: Hone your problem-solving skills by learning different...
  • Amazon Kindle Edition
  • Ahmad, Imran (Author)
  • English (Publication Language)
  • 384 Pages - 06/12/2020 (Publication Date) - Packt Publishing (Publisher)
Bestseller No. 13
Easy Learning Data Structures & Algorithms Java Practice: Graphically learn data structures and...
  • Amazon Kindle Edition
  • hu, yang (Author)
  • English (Publication Language)
  • 244 Pages - 05/02/2019 (Publication Date)
Bestseller No. 14
Learning Genetic Algorithms with Python: Empower the performance of Machine Learning and AI models...
  • Amazon Kindle Edition
  • Gridin, Ivan (Author)
  • English (Publication Language)
  • 363 Pages - 02/13/2021 (Publication Date) - BPB Publications (Publisher)
Bestseller No. 15
The Supervised Learning Workshop: A New, Interactive Approach to Understanding Supervised Learning...
  • Amazon Kindle Edition
  • Bateman, Blaine (Author)
  • English (Publication Language)
  • 608 Pages - 02/28/2020 (Publication Date) - Packt Publishing (Publisher)
Bestseller No. 16
Machine Learning: Step-by-Step Guide To Implement Machine Learning Algorithms with Python...
  • Amazon Kindle Edition
  • Russell, Rudolph (Author)
  • English (Publication Language)
  • 05/21/2018 (Publication Date)
Bestseller No. 17
Graphic Go Algorithms: Graphically learn data structures and algorithms better than before (Easy...
  • Amazon Kindle Edition
  • hu, yang (Author)
  • English (Publication Language)
  • 274 Pages - 06/17/2020 (Publication Date)
Bestseller No. 18
Elements of Causal Inference: Foundations and Learning Algorithms (Adaptive Computation and Machine...
  • Amazon Kindle Edition
  • Peters, Jonas (Author)
  • English (Publication Language)
  • 256 Pages - 12/29/2017 (Publication Date) - The MIT Press (Publisher)
Bestseller No. 19
Guide to Competitive Programming: Learning and Improving Algorithms Through Contests (Undergraduate...
  • Amazon Kindle Edition
  • Laaksonen, Antti (Author)
  • English (Publication Language)
  • 517 Pages - 05/08/2020 (Publication Date) - Springer (Publisher)
Bestseller No. 20
Machine Learning for Cybersecurity Cookbook: Over 80 recipes on how to implement machine learning...
  • Amazon Kindle Edition
  • Tsukerman, Emmanuel (Author)
  • English (Publication Language)
  • 348 Pages - 11/25/2019 (Publication Date) - Packt Publishing (Publisher)

Having trouble finding a great learning algorithms ebooks?

This problem is well understood by us because we have gone through the entire learning algorithms ebooks research process ourselves, which is why we have put together a comprehensive list of the best learning algorithms ebookss available in the market today.

After hours of searching and using all the models on the market, we have found the best learning algorithms ebooks for 2023. See our ranking below!

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We understand, because we’ve already gone through the whole process of researching learning algorithms ebooks, which is why we have assembled a comprehensive list of the greatest learning algorithms ebooks available in the current market. We’ve also come up with a list of questions that you probably have yourself.

John Harvards has done the best we can with our thoughts and recommendations, but it’s still crucial that you do thorough research on your own for learning algorithms ebooks that you consider buying. Your questions might include the following:

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John Harvards provides an learning algorithms ebooks buying guide, and the information is totally objective and authentic. We employ both AI and big data in proofreading the collected information.

How did we create this buying guide? We did it using a custom-created selection of algorithms that lets us manifest a top-10 list of the best available learning algorithms ebooks currently available on the market.

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  1. Brand Value: Every brand of learning algorithms ebooks has a value all its own. Most brands offer some sort of unique selling proposition that’s supposed to bring something different to the table than their competitors.
  2. Features: What bells and whistles matter for an learning algorithms ebooks?
  3. Specifications: How powerful they are can be measured.
  4. Product Value: This simply is how much bang for the buck you get from your learning algorithms ebooks.
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  6. Customer Reviews: Closely related to ratings, these paragraphs give you first-hand and detailed information from real-world users about their learning algorithms ebooks.
  7. Product Quality: You don’t always get what you pay for with an learning algorithms ebooks, sometimes less, and sometimes more.
  8. Product Reliability: How sturdy and durable an learning algorithms ebooks is should be an indication of how long it will work out for you.

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FAQ:

Q: What is the best book to learn algorithms?

A: Introduction to Algorithms The first book to start learning on algorithms is the “Introduction to Algorithms” written by Thomas H. Cormen. This book is famous for its simple language and explanation used by the author. The book covers everything about algorithms, its concept, and its use.

Q: What language is the algorithm book Coded in?

A: There are many different solutions for each issue, and the book is coded in C/C++. The book comes handy as an interview and exam guide for computer scientists. This Algorithm book offers solutions to various complex data structures and algorithmic problems.

Q: What is the algorithms illuminated book?

A: The algorithms illuminated book is a basic guide with programming inclusions from a variety of quizzes, selected problems and YouTube videos that work as auxiliaries to the book. Part one covers the basics of a asymptotic analysis as well as big O notation studies.

Q: What are the topics included in the book Algorithm analysis?

A: The book includes topics like Basic of Algorithm Analysis, Divide and Conquer, Dynamic Programming, Network flow, etc. An algorithm is a book written by Sanjoy Dasgupta.

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