Machine Learning
Machine learning explores the study and construction of algorithms that can learn from and make predictions on data. Such algorithms operate by building a model from example inputs in order to make data-driven predictions or decisions, rather than following strictly static program instructions.
All categoriesBooks under this sub-category (35 books)
Foundations of Machine Learning, Second Edition
Post date: 05 Feb 2021A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms.
Publisher:
The MIT Press
Publication date: 25 Dec 2018
License: The MIT License (MIT)
Document Type: Textbook
Publication date: 25 Dec 2018
License: The MIT License (MIT)
Document Type: Textbook
Foundations of Machine Learning, Second Edition
Post date: 05 Feb 2021A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms.
Publisher:
The MIT Press
Publication date: 25 Dec 2018
License: The MIT License (MIT) Document Type: Textbook
Publication date: 25 Dec 2018
License: The MIT License (MIT) Document Type: Textbook
Free and Open Machine Learning
Post date: 30 Jul 2020This book describes an open machine learning architecture. Including key aspects that are involved for real business use. It focuses on FOSS machine learning software and open datasets.
Publisher:
The Business Management Support Foundation
Publication date: 04 Jul 2020
License: Creative Commons Attribution-ShareAlike 4.0 International
Document Type: Book
Publication date: 04 Jul 2020
License: Creative Commons Attribution-ShareAlike 4.0 International
Document Type: Book
Free and Open Machine Learning
Post date: 30 Jul 2020This book describes an open machine learning architecture. Including key aspects that are involved for real business use. It focuses on FOSS machine learning software and open datasets.
Publisher:
The Business Management Support Foundation
Publication date: 04 Jul 2020
License: Creative Commons Attribution-ShareAlike 4.0 International Document Type: Book
Publication date: 04 Jul 2020
License: Creative Commons Attribution-ShareAlike 4.0 International Document Type: Book
Introduction to Machine Learning
Post date: 30 May 2016Class notes of Machine Learning course given at the Hebrew University of Jerusalem.
Publication date: 23 Apr 2009
Introduction to Machine Learning
Post date: 30 May 2016Class notes of Machine Learning course given at the Hebrew University of Jerusalem.
Publication date: 23 Apr 2009
Introduction to Machine Learning
Post date: 03 Apr 2016These lecture notes are used in an introductory course in Machine Learning at Purdue University. Strong background in Probability theory, Linear Algebra and Programming are a must.
Introduction to Machine Learning
Post date: 03 Apr 2016These lecture notes are used in an introductory course in Machine Learning at Purdue University. Strong background in Probability theory, Linear Algebra and Programming are a must.
Introduction to Machine Learning
Post date: 19 Nov 2006This book surveys many of the important topics in machine learning circa 1996. The intention was to pursue a middle ground between theory and practice. It is neither a handbook of practice nor a compendium of theoretical proofs.
Publication date: 01 Jan 2005
Introduction to Machine Learning
Post date: 19 Nov 2006This book surveys many of the important topics in machine learning circa 1996. The intention was to pursue a middle ground between theory and practice. It is neither a handbook of practice nor a compendium of theoretical proofs.
Publication date: 01 Jan 2005
Post date: 22 Feb 2021
This book serves as an introductory text and survey to lifelong learning.
This book serves as an introductory text and survey to lifelong learning.
Post date: 22 Feb 2021This book serves as an introductory text and survey to lifelong learning.
Post date: 22 Apr 2016
A collection of 20 publications on Machine Learning.
A collection of 20 publications on Machine Learning.
Publisher:
I-Tech Education and Publishing
Publication date: 01 Jan 2009
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported
Document Type: Book
Publication date: 01 Jan 2009
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported
Document Type: Book
Post date: 22 Apr 2016A collection of 20 publications on Machine Learning.
Publisher:
I-Tech Education and Publishing
Publication date: 01 Jan 2009
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported Document Type: Book
Publication date: 01 Jan 2009
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported Document Type: Book
Machine Learning and Data Mining Lecture Notes
Post date: 05 Aug 2016Lecture notes for CSC 411 Machine Learning and Data Mining course at the University of Toronto.
Publication date: 06 Feb 2012
Document Type: Lecture Notes
Document Type: Lecture Notes
Machine Learning and Data Mining Lecture Notes
Post date: 05 Aug 2016Lecture notes for CSC 411 Machine Learning and Data Mining course at the University of Toronto.
Publication date: 06 Feb 2012
Document Type: Lecture Notes
Document Type: Lecture Notes
Post date: 23 Feb 2021
This book will help you or your team making rapid progress while working on a machine learning application.
This book will help you or your team making rapid progress while working on a machine learning application.
Publication date: 01 Jan 2018
Document Type: Book
Document Type: Book
Post date: 23 Feb 2021This book will help you or your team making rapid progress while working on a machine learning application.
Publication date: 01 Jan 2018
Document Type: Book
Document Type: Book
Machine Learning, Neural and Statistical Classification
Post date: 25 Jan 2007The aim of this book is to provide a review of different approaches to classification, compare their performance on a wide range of challenging data-sets, and draw conclusions on their applicability to realistic industrial problems.
Machine Learning, Neural and Statistical Classification
Post date: 25 Jan 2007The aim of this book is to provide a review of different approaches to classification, compare their performance on a wide range of challenging data-sets, and draw conclusions on their applicability to realistic industrial problems.
Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics
Post date: 19 Dec 2016This textbook presents a new approach to numerical analysis for modern computer scientists and introduces numerical modeling and algorithmic design from a practical standpoint and provides insight into the theoretical tools needed to support these skills.
Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics
Post date: 19 Dec 2016This textbook presents a new approach to numerical analysis for modern computer scientists and introduces numerical modeling and algorithmic design from a practical standpoint and provides insight into the theoretical tools needed to support these skills.
Pattern Recognition and Machine Learning
Post date: 28 Nov 2020This textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners.
Pattern Recognition and Machine Learning
Post date: 28 Nov 2020This textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners.
Probabilistic Models in the Study of Language
Post date: 30 Nov 2016This textbook covers the topic of using probabilistic models in scientific work on language ranging from experimental data analysis to corpus work to cognitive modeling.
Publication date: 06 Nov 2012
Document Type: Textbook
Document Type: Textbook
Probabilistic Models in the Study of Language
Post date: 30 Nov 2016This textbook covers the topic of using probabilistic models in scientific work on language ranging from experimental data analysis to corpus work to cognitive modeling.
Publication date: 06 Nov 2012
Document Type: Textbook
Document Type: Textbook
Python Machine Learning Projects
Post date: 26 Jul 2020This book of Python projects in machine learning tries to equip the developers of today and tomorrow with tools they can use to better understand, evaluate, and shape machine learning.
Publisher:
DigitalOcean
Publication date: 02 May 2019
License: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
Document Type: Book
Publication date: 02 May 2019
License: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
Document Type: Book
Python Machine Learning Projects
Post date: 26 Jul 2020This book of Python projects in machine learning tries to equip the developers of today and tomorrow with tools they can use to better understand, evaluate, and shape machine learning.
Publisher:
DigitalOcean
Publication date: 02 May 2019
License: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Document Type: Book
Publication date: 02 May 2019
License: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Document Type: Book
.jpg)
Post date: 22 Apr 2016
The first 11 chapters of this book describe and extend the scope of reinforcement learning. The remaining 11 chapters show that there is already wide usage in numerous fields.
The first 11 chapters of this book describe and extend the scope of reinforcement learning. The remaining 11 chapters show that there is already wide usage in numerous fields.
Publisher:
I-Tech Education and Publishing
Publication date: 01 Jan 2008
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported
Publication date: 01 Jan 2008
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported
Post date: 22 Apr 2016The first 11 chapters of this book describe and extend the scope of reinforcement learning. The remaining 11 chapters show that there is already wide usage in numerous fields.
Publisher:
I-Tech Education and Publishing
Publication date: 01 Jan 2008
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported
Publication date: 01 Jan 2008
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported
Book Categories
Computer Science
Introduction to Computer Science
Introduction to Computer Programming
Algorithms and Data Structures
Artificial Intelligence
Computer Vision
Machine Learning
Neural Networks
Game Development and Multimedia
Data Communication and Networks
Coding Theory
Computer Security
Information Security
Cryptography
Information Theory
Computer Organization and Architecture
Operating Systems
Image Processing
Parallel Computing
Concurrent Programming
Relational Database
Document-oriented Database
Data Mining
Big Data
Data Science
Digital Libraries
Compiler Design and Construction
Functional Programming
Logic Programming
Object Oriented Programming
Formal Methods
Software Engineering
Agile Software Development
Information Systems
Geographic Information System (GIS)
Mathematics
Mathematics
Algebra
Abstract Algebra
Linear Algebra
Number Theory
Numerical Methods
Precalculus
Calculus
Differential Equations
Category Theory
Proofs
Discrete Mathematics
Theory of Computation
Graph Theory
Real Analysis
Complex Analysis
Probability
Statistics
Game Theory
Queueing Theory
Operations Research
Computer Aided Mathematics
Supporting Fields
Web Design and Development
Mobile App Design and Development
System Administration
Cloud Computing
Electric Circuits
Embedded System
Signal Processing
Integration and Automation
Network Science
Project Management
Operating System
Programming/Scripting
Ada
Assembly
C / C++
Common Lisp
Forth
Java
JavaScript
Lua
Rexx
Microsoft .NET
Perl
PHP
R
Python
Rebol
Ruby
Scheme
Tcl/Tk
Miscellaneous
Most Popular Books
427,408
Introduction to Objective Caml
242,245
Notes for the Course of Algorithms
232,112
Lessons In Electric Circuits
206,267
[No longer available] A Beginners C++
160,444
Introduction to Object-Oriented Programming Using C++
157,910
A Short Introduction to Operating Systems
156,963
Data Structures and Algorithms with Object-Oriented Design Patterns in C++
153,102
C Programming Tutorial (K&R version 4)
150,566
Computer Organization and Design Fundamentals
146,149
Programming The Nintendo Game Boy Advance: The Unofficial Guide
Sponsors