Books / AI and ML

AI and ML

All Programming languages 1874AI and ML 894Software Development 611Algorithms and theory 548WEB development 472DevOps and Infrastructure 367Other 269Cybersecurity 233OS and System 214Game development 187Databases 157Embedded systems 153IT management 110
All Data Science 307Machine learning 171LLM 129Neural networks 97Computer Vision 41ChatGPT 39TensorFlow 30PyTorch 23Natural Language Processing 21MLOps 19熊猫 9AI Agents 1
All 2027 12026 722025 1162024 1772023 1322022 552021 452020 672019 372018 332017 172016 212015 312014 92013 62012 32011 42010 12009 32008 22007 22000 11994 11990 1
EN
Introduction to Deep Learning Using R: A Step-by-Step Guide to Learning and Implementing Deep Learning Models Using R

Introduction to Deep Learning Using R: A Step-by-Step Guide to Learning and Implementing Deep Learning Models Using R

A

Taweh Beysolow II

AI and ML
EN
OpenCV 3 Computer Vision Application Programming Cookbook - Third Edition

OpenCV 3 Computer Vision Application Programming Cookbook - Third Edition

A

Robert Laganière

AI and ML
EN
Introduction to HPC with MPI for Data Science

Introduction to HPC with MPI for Data Science

A

Frank Nielsen

AI and ML
EN
Mastering Text Mining with R

Mastering Text Mining with R

A

Ashish Kumar, Avinash Paul

AI and ML
EN
Data Wrangling with Python: Tips and Tools to Make Your Life Easier

Data Wrangling with Python: Tips and Tools to Make Your Life Easier

A

Jacqueline Kazil, Katharine Jarmul

AI and ML
EN
Ethical Reasoning in Big Data: An Exploratory Analysis

Ethical Reasoning in Big Data: An Exploratory Analysis

A

Jeff Collmann, Sorin Adam Matei

AI and ML
EN
Python Data Analysis Cookbook

Python Data Analysis Cookbook

A

Ivan Idris

AI and ML
EN
OpenCV By Example

OpenCV By Example

A

Prateek Joshi, David Millán Escrivá, Vinícius Godoy

AI and ML
EN
OpenCV: Computer Vision Projects with Python

OpenCV: Computer Vision Projects with Python

A

Joseph Howse, Prateek Joshi, Michael Beyeler

AI and ML
EN
Procedural Content Generation in Games

Procedural Content Generation in Games

A

Noor Shaker, Julian Togelius, Mark J. Nelson

AI and ML
EN
Practical Hive: A Guide to Hadoop's Data Warehouse System

Practical Hive: A Guide to Hadoop's Data Warehouse System

A

Scott Shaw, Andreas François Vermeulen, Ankur Gupta, David Kjerrumgaard

AI and ML
EN
R Data Mining Blueprints

R Data Mining Blueprints

A

Pradeepta Mishra

AI and ML
EN
Python: Deeper Insights into Machine Learning

Python: Deeper Insights into Machine Learning

A

Sebastian Raschka, David Julian, John Hearty

AI and ML
EN
Introduction to Machine Learning with Python: A Guide for Data Scientists

Introduction to Machine Learning with Python: A Guide for Data Scientists

A

Andreas C. Müller and Sarah Guido

AI and ML
RU
Image Processing with OpenCV

Image Processing with OpenCV

A

Gloria Bueno García, Óscar Deniz Suárez, José Luis Espinosa Aranda, Jesús Salido Tercero, Ismael Serrano Gracia, Noelia Vállez Enano

AI and ML
EN
Learning OpenCV 3 Application Development

Learning OpenCV 3 Application Development

A

Samyak Datta

AI and ML
RU
Computer Data Analysis

Computer Data Analysis

A

Yu.N. Tyurin, A.A. Makarov

AI and ML
RU
Building Machine Learning Systems with Python. 2nd Edition

Building Machine Learning Systems with Python. 2nd Edition

A

Luís Pedro Coelho, Willy Richert

AI and ML
RU
Big Data Analysis. Technologies and Methods

Big Data Analysis. Technologies and Methods

B

Not specified

AI and ML
EN
Java Deep Learning Essentials

Java Deep Learning Essentials

A

Yusuke Sugomori

AI and ML
EN
Applied Text Analysis with Python: Enabling Language Aware Data Products with Machine Learning

Applied Text Analysis with Python: Enabling Language Aware Data Products with Machine Learning

A

Benjamin Bengfort, Rebecca Bilbro, Tony Ojeda

AI and ML
EN
Neural Network Programming with Java

Neural Network Programming with Java

A

Fábio M. Soares, Alan M.F. Souza

AI and ML
EN
Google Analytics Breakthrough: From Zero to Business Impact

Google Analytics Breakthrough: From Zero to Business Impact

A

Feras Alhlou, Shiraz Asif, Eric Fettman

AI and ML
EN
Fifty Years of Fuzzy Logic and its Applications

Fifty Years of Fuzzy Logic and its Applications

A

Dan E. Tamir, Naphtali D. Rishe, Abraham Kandel (Editors)

AI and ML
EN
Spark Cookbook

Spark Cookbook

A

Rishi Yadav

AI and ML
EN
Spark for Python Developers

Spark for Python Developers

A

Amit Nandi

AI and ML
EN
Python Data Visualization Cookbook, Second Edition

Python Data Visualization Cookbook, Second Edition

A

Igor Milovanović, Dimitry Foures, Giuseppe Vettigli

AI and ML
EN
Mastering Python Data Visualization

Mastering Python Data Visualization

A

Kirthi Raman

AI and ML
RU
Learning Spark: Lightning-Fast Data Analysis

Learning Spark: Lightning-Fast Data Analysis

A

Holden Carrow, Andy Konwinski, Patrick Wendell, Matei Zaharia

AI and ML
EN
Big Data: Principles and Best Practices of Scalable Real-Time Data Systems

Big Data: Principles and Best Practices of Scalable Real-Time Data Systems

A

Nathan Marz, James Warren

AI and ML
EN
ElasticSearch Cookbook, Second Edition

ElasticSearch Cookbook, Second Edition

B

Alberto Paro

AI and ML
EN
Computational Intelligence for Big Data Analysis: Frontier Advances and Applications

Computational Intelligence for Big Data Analysis: Frontier Advances and Applications

A

D.P. Acharjya, Satchidananda Dehuri, Sugata Sanyal

AI and ML
EN
Data Analysis with Stata

Data Analysis with Stata

A

Prasad Kothari

AI and ML
EN
Parallel Computing for Data Science: With Examples in R, C++ and CUDA

Parallel Computing for Data Science: With Examples in R, C++ and CUDA

A

Norman Matloff

AI and ML
EN
Learning Image Processing with OpenCV

Learning Image Processing with OpenCV

A

Gloria Bueno García, Oscar Deniz Suarez, José Luis Espinosa Aranda, Jesus Salido Tercero, Ismael Serrano Gracia, Noelia Vállez Enano

AI and ML
EN
OpenCV 3.0 Computer Vision with Java

OpenCV 3.0 Computer Vision with Java

A

Daniel Lélis Baggio

AI and ML
EN
OpenCV with Python Blueprints

OpenCV with Python Blueprints

A

Michael Beyeler

AI and ML
EN
Learning OpenCV 3 Computer Vision with Python Second Edition

Learning OpenCV 3 Computer Vision with Python Second Edition

A

Joe Minichino, Joseph Howse

AI and ML
EN
Data Science For Dummies

Data Science For Dummies

A

Lillian Pierson

AI and ML
EN
Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration and Hedging

Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration and Hedging

A

Yves Hilpisch

AI and ML
EN
Data Mining: The Textbook

Data Mining: The Textbook

A

Charu C. Aggarwal

AI and ML
EN
Data Mining Algorithms: Explained Using R

Data Mining Algorithms: Explained Using R

A

Paweł Cichosz

AI and ML
EN
Learning Data Mining with R

Learning Data Mining with R

B

Bater Makhabel

AI and ML
EN
Learning Data Mining with Python

Learning Data Mining with Python

A

Robert Layton

AI and ML
EN
Data Science from Scratch

Data Science from Scratch

A

Joel Grus

AI and ML
EN
Graph Analysis and Visualization: Discovering Business Opportunity in Linked Data

Graph Analysis and Visualization: Discovering Business Opportunity in Linked Data

A

Richard Brath, David Jonker

AI and ML
RU
Machine Learning. The science and art of building algorithms that extract knowledge from data.

Machine Learning. The science and art of building algorithms that extract knowledge from data.

A

Peter Flach

AI and ML
RU
The SAS Desktop Companion. A Beginner's Guide. Fifth Edition.

The SAS Desktop Companion. A Beginner's Guide. Fifth Edition.

A

Laura Delwich, Susan Slaughter

AI and ML
EN
Image Processing with ImageJ, Second Edition

Image Processing with ImageJ, Second Edition

A

Jurjen Broeke, José María Mateos Pérez, Javier Pascau

AI and ML
RU
Statistical Analysis and Data Visualization with R

Statistical Analysis and Data Visualization with R

A

Mastitsky S. E., Shitikov V. K.

AI and ML
← 1415161718 →

PDF quality score:

A Excellent — copyable text, TOC, metadata B Good — text present, some data missing C Average — text is partially extractable D Poor — most likely a scan F Scan without OCR — text cannot be extracted