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Showing 21 books on Machine Learning and AI

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

by Aurélien Géron

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The second edition came out recently and immediately became a bestseller in its category. It is impressive in coverage. Classical supervised learning, unsupervised learning, deep learning (CNN, RNN...
Published on : Oct. 15, 2019
Python version: TH
856 pages

Deep Learning with Python

by Francois Chollet

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In Deep Learning with Python, Second Edition you will learn: Deep learning from first principles Image classification and image segmentation Timeseries forecasting Text classi...
Published on : Dec. 21, 2021
Python version: TH
504 pages

Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python

by Sebastian Raschka

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Machine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep comin...
Published on : Feb. 25, 2022
Python version: TH
770 pages

Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2

by Sebastian Raschka

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Winner of the ACM Best of Computing award in 2016 and now in its third edition, this is one of the most popular books for Machine Learning. It covers everything under the sun - Classical Supervised...
Published on : Dec. 12, 2019
Python version: TH
770 pages

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

by Andreas C. Müller

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Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Pyth...
Published on : Oct. 21, 2016
Python version: BO
400 pages

Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD

by Jeremy Howard

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Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive result...
Published on : Aug. 11, 2020
Python version: TH
624 pages

Machine Learning in Action

by Peter Harrington

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Machine Learning in Action is unique book that blends the foundational theories of machine learning with the practical realities of building tools for everyday data analysis. You'll use the flexibl...
Published on : April 19, 2012
Python version: TW
384 pages

Deep Reinforcement Learning Hands-On

by Maxim Lapan

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Ever since 2014, Reinforcement Learning has taken the Machine Learning world by storm with successes like Atari DQN, AlphaGo and OpenAI Five. This book, now in its second edition, has practical Rei...
Published on : Jan. 31, 2020
Python version: TH
826 pages

Make Your Own Neural Network

by Tariq Rashid

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A step-by-step gentle journey through the mathematics of neural networks, and making your own using the Python computer language. Neural networks are a key element of deep learning and artificial ...
Published on : March 31, 2016
Python version: TH
222 pages

Hands-On Genetic Algorithms with Python

by Eyal Wirsansky

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Genetic algorithms is machine learning inspired by Darwinian evolution. This method is slowly gaining popularity because of its speed and simplicity. In this book, you will learn genetic algorithms...
Published on : Jan. 31, 2020
Python version: TH
346 pages

Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

by Chris Albon

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This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its librari...
Published on : April 1, 2018
Python version: TH
366 pages

Data Science from Scratch: First Principles with Python

by Joel Grus

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To really learn data science, you should not only master the tools—data science libraries, frameworks, modules, and toolkits—but also understand the ideas and principles underlying them. Updated fo...
Published on : May 16, 2019
Python version: TH
406 pages

GANs in Action: Deep learning with Generative Adversarial Networks

by Jakub Langr

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Seen the Obama DeepFake video? Are you friends posting pictures of their 60 year old self using FaceApp? Heard that computers are now able to paint novel pictures in the style of Van Gogh or create...
Published on : Oct. 8, 2019
Python version: TH
240 pages

Artificial Intelligence with Python: A Comprehensive Guide to Building Intelligent Apps for Python Beginners and Developers

by Prateek Joshi

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AI is becoming increasingly relevant in the modern world where the ecosystem is driven by technology and data. AI is used extensively across many fields such as robotics, computer vision, finance, ...
Published on : Jan. 27, 2017
Python version: TH
446 pages

Real-World Machine Learning

by Henrik Brink

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Real-World Machine Learning is a practical guide designed to teach working developers the art of ML project execution. Without overdosing you on academic theory and complex mathematics, it introduc...
Published on : Sept. 30, 2016
Python version: TH
264 pages

Pro Deep Learning with TensorFlow: A Mathematical Approach to Advanced Artificial Intelligence in Python

by Santanu Pattanayak

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Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solu...
Published on : Dec. 7, 2017
Python version: TW
398 pages

Machine Learning with TensorFlow

by Nishant Shukla

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Being able to make near-real-time decisions is becoming increasingly crucial. To succeed, we need machine learning systems that can turn massive amounts of data into valuable insights. But when you...
Published on : Feb. 12, 2018
Python version: TH
272 pages

Python Deep Learning: Next generation techniques to revolutionize computer vision, AI, speech and data analysis

by Valentino Zocca

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This book is for Data Science practitioners as well as aspirants who have a basic foundational understanding of Machine Learning concepts and some programming experience with Python. A mathematical...
Published on : May 4, 2017
Python version: BO
368 pages

MLOps Engineering at Scale

by Carl Osipov

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MLOps Engineering at Scale shows you how to put machine learning into production efficiently by using pre-built services from AWS and other cloud vendors. You’ll learn how to rapidly create flexibl...
Published on : March 1, 2022
Python version: TH
344 pages

Mastering Python for Data Science

by Samir Madhavan

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Data science is a relatively new knowledge domain which is used by various organizations to make data driven decisions. Data scientists have to wear various hats to work with data and to derive val...
Published on : Aug. 31, 2015
Python version: TW
294 pages

Hands-On Music Generation with Magenta: Explore the role of deep learning in music generation and assisted music composition

by Alexandre DuBreuil

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This is a book on creating music using Generative Artificial Intelligence. Written by a generative music artist who has worked with many bands, it explains how to use Tensorflow and Magenta to gene...
Published on : Jan. 31, 2020
Python version: TH
360 pages