Explore the exciting universe of Machine Learning with our collection of free PDF books.
Machine Learning is a branch of artificial intelligence that enables machines to learn and improve automatically from data.
This discipline is revolutionizing industries with applications ranging from data prediction to recognizing complex patterns.
Browse through our collection of free books, which cover everything from basic introductions to advanced approaches in algorithms, neural networks, and big data.
Take advantage of the free access to these books and break the barriers that often limit learning. Expand your horizons and delve into this constantly evolving technology.
Download your free PDF Machine Learning books and take the first step towards mastering this powerful tool of the future.
Machine Learning Books
#1 Foundations of Machine Learning
Author: Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar
Pages: 505
File size: 4.59 MB
Format: PDF
#2 Machine Learning – Supervised Techniques
Author: Sepp Hochreiter
Pages: 256
File size: 5.57 MB
Format: PDF
#3 Interpretable Machine Learning
Author: Christoph Molnar
Pages: 251
File size: 3.4 MB
Format: PDF
#4 Introduction to machine learning
Author: Nils J. Nilsson
Pages: 188
File size: 0.77 MB
Format: PDF
#6 Undergraduate Fundamentals of Machine Learning
Author: William J. Deuschle
Pages: 143
File size: 1.29 MB
Format: PDF
#7 Machine learning – The power and promise of computers that learn by example
Author: Royal Society
Pages: 128
File size: 2.45 MB
Format: PDF
#9 The Foundation for Best Practices in Machine Learning
Author: FBPML
Pages: 88
File size: 0.56 MB
Format: PDF
#10 Machine Learning Tutorial
Author: Wei-Lun Chao
Pages: 56
File size: 0.84 MB
Format: PDF
#11 The Little Book of Deep Learning
Author: François Fleuret
Pages: 163
File size: 1.32 MB
Format: PDF
#12 Neural Networks and Deep Learning
Author: Michael Nielsen
Pages: 224
File size: 3.58 MB
Format: PDF
#13 Handbook Of Artificial Intelligence And Big Data Applications In Investments
Author: Larry Cao
Pages: 164
File size: 1.99 MB
Format: PDF
#14 Machine Learning with Big Data – Challenges and Approaches
Author: Alexandra L’Heureux, Katarina Grolinger, Hany F. ElYamany, Miriam A. M. Capretz
Pages: 22
File size: 0.44 MB
Format: PDF
#15 Natural Language Processing
Author: Jacob Eisenstein
Pages: 587
File size: 2.66 MB
Format: PDF
#16 Natural Language Processing
Author: Ann Copestake
Pages: 80
File size: 0.36 MB
Format: PDF
Algorithms in Machine Learning Books and Materials
#1 Mathematical Analysis of Machine Learning Algorithms
Author: Tong Zhang
Pages: 479
File size: 2.04 MB
Format: PDF
#2 Types of Machine Learning Algorithms
Author: Taiwo Oladipupo Ayodele
Pages: 32
File size: 0.61 MB
Format: PDF
#3 Clustering Algorithms: A Comparative Approach
Author: Mayra Z. Rodriguez, Cesar H. Comin, Dalcimar Casanova and others
Pages: 31
File size: 0.25 MB
Format: PDF
#4 K-Means Clustering and Related Algorithms
Author: Ryan P. Adams
Pages: 18
File size: 0.7 MB
Format: PDF
#5 k-Nearest Neighbour Classifiers
Author: Pádraig Cunningham and Sarah Jane Delany
Pages: 18
File size: 0.23 MB
Format: PDF
#6 Online gradient descent learning algorithm
Author: Yiming Ying and Massimiliano Pontil
Pages: 41
File size: 0.2 MB
Format: PDF
#7 A review of Machine Learning (ML) algorithms used for modeling travel mode choice
Author: Pineda-Jaramillo and Juan D
Pages: 23
File size: 0.23 MB
Format: PDF
#8 Hierarchical Clustering
Author: Ryan P. Adams
Pages: 11
File size: 0.84 MB
Format: PDF
#9 Classic machine learning algorithms
Author: Johann Faouzi, Olivier Colliot
Pages: 61
File size: 0.89 MB
Format: PDF
Supervised Learning Books
#1 Supervised Learning – An Introduction
Author: Michael Biehl
Pages: 119
File size: 1.14 MB
Format: PDF
#2 Supervised Machine Learning
Author: Andreas Lindholm, Niklas Wahlström, Fredrik Lindsten and Thomas B. Schön
Pages: 112
File size: 1.06 MB
Format: PDF
#3 Supervised Machine Learning: A Brief Introduction
Author: Seemant TIWARI
Pages: 13
File size: 0.12 MB
Format: PDF
Unsupervised Learning Materials
#2 Unsupervised Feature Learning and Deep Learning – A Review and New Perspectives
Author: Yoshua Bengio, Aaron Courville, and Pascal Vincent
Pages: 30
File size: 0.36 MB
Format: PDF
#3 Unsupervised learning – a systematic literature review
Author: Salim Dridi
Pages: 22
File size: 0.28 MB
Format: PDF
#4 Unsupervised learning
Author: Hannah Van Santvliet
Pages: 10
File size: 0.1 MB
Format: PDF
Neural Networks Books
#1 An introduction to Neural Networks
Author: Ben Krose and Patrick van der Smagt
Pages: 135
File size: 1.05 MB
Format: PDF
#2 Deep Learning in Neural Networks – An Overview
Author: Jurgen Schmidhuber
Pages: 75
File size: 0.37 MB
Format: PDF
#3 A Brief Introduction to Neural Networks
Author: David Kriesel
Pages: 284
File size: 2.42 MB
Format: PDF
#4 The Shallow and the Deep
Author: Michael Biehl
Pages: 294
File size: 2.99 MB
Format: PDF
Machine Learning for Programmers Books
#1 Machine Learning with Python Tutorial
Author: Bernd Klein
Pages: 453
File size: 4.54 MB
Format: PDF
#2 Machine Learning with Python
Author: Tutorialspoint
Pages: 167
File size: 1.36 MB
Format: PDF
#3 Python Machine Learning Projects
Author: Lisa Tagliaferri, Michelle Morales, Ellie Birbeck, and Alvin Wan
Pages: 135
File size: 0.81 MB
Format: PDF
Here ends our selection of free Machine Learning Books in PDF format. We hope you liked it and already have your next book!
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