Books / AI and ML

AI and ML

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Data Mining with R: Learning with Case Studies, Second Edition

Data Mining with R: Learning with Case Studies, Second Edition

A

Luís Torgo

AI and ML
EN
Handbook of Big Data Technologies

Handbook of Big Data Technologies

A

Albert Y. Zomaya, Sherif Sakr

AI and ML
EN
Python Machine Learning Second Edition

Python Machine Learning Second Edition

A

Sebastian Raschka, Vahid Mirjalili

AI and ML
RU
Machine Learning

Machine Learning

A

Henrik Brink, Joseph Richards, Mark Fetherolf

AI and ML
EN
Deep Learning with Keras: Implement Neural Networks with Keras on Theano and TensorFlow

Deep Learning with Keras: Implement Neural Networks with Keras on Theano and TensorFlow

A

Antonio Gulli, Sujit Pal

AI and ML
RU
Creating a neural network

Creating a neural network

A

Tariq Rashid

AI and ML
RU
Learning OpenCV 3. Developing Computer Vision Programs in C++ Using the OpenCV Library

Learning OpenCV 3. Developing Computer Vision Programs in C++ Using the OpenCV Library

A

Adrian Kaehler, Gary Bradski

AI and ML
RU
Introduction to Neural Network Modeling

Introduction to Neural Network Modeling

A

A. P. Sergeev, D. A. Tarasov

AI and ML
RU
Introduction to Machine Learning with Python. A Guide for Data Science Professionals

Introduction to Machine Learning with Python. A Guide for Data Science Professionals

A

Andreas Müller, Sarah Guido

AI and ML
RU
Analytical Culture. From Data Collection to Business Results

Analytical Culture. From Data Collection to Business Results

A

Carl Anderson

AI and ML
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

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