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Showing 28 books on Machine Learning and AI
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Deep Learning with Python

by Francois Chollet

0.9447004608294931 13 / 217
Bestseller Score [?]
Ranked 13 out of 217 books in our database
0.9658536585365853 2 credentials
Author Score [?]
0.9539170506912442 46 comments
Audience Score [?]
0.9548237233524409
Pythonmeter [?]
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

Data Science from Scratch: First Principles with Python

by Joel Grus

0.9493087557603687 12 / 217
Bestseller Score [?]
Ranked 12 out of 217 books in our database
0.7951219512195122 2 credentials
Author Score [?]
0.9331797235023042 26 comments
Audience Score [?]
0.8925368101607284
Pythonmeter [?]
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

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

by Sebastian Raschka

0.8479262672811061 34 / 217
Bestseller Score [?]
Ranked 34 out of 217 books in our database
0.8146341463414635 2 credentials
Author Score [?]
0.8525345622119817 15 comments
Audience Score [?]
0.8383649919448505
Pythonmeter [?]
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

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

by Aurélien Géron

0.9861751152073732 4 / 217
Bestseller Score [?]
Ranked 4 out of 217 books in our database
0.5853658536585367 1 credentials
Author Score [?]
0.8824884792626727 18 comments
Audience Score [?]
0.8180098160428608
Pythonmeter [?]
With this updated third edition, author Aurelien Geron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exe...
Published on : Nov. 15, 2022
Python version: TH
850 pages

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

by Jeremy Howard

0.912442396313364 20 / 217
Bestseller Score [?]
Ranked 20 out of 217 books in our database
0.9853658536585366 10 credentials
Author Score [?]
0.4930875576036866 1 comments
Audience Score [?]
0.7969652691918624
Pythonmeter [?]
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 with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python

by Sebastian Raschka

0.967741935483871 8 / 217
Bestseller Score [?]
Ranked 8 out of 217 books in our database
0.8146341463414635 2 credentials
Author Score [?]
0.6059907834101382 2 comments
Audience Score [?]
0.7961222884118242
Pythonmeter [?]
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

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

by Andreas C. Müller

0.6036866359447004 87 / 217
Bestseller Score [?]
Ranked 87 out of 217 books in our database
0.9658536585365853 2 credentials
Author Score [?]
0.716589861751152 4 comments
Audience Score [?]
0.7620433854108125
Pythonmeter [?]
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 with PyTorch: Build, train, and tune neural networks using Python tools

by Eli Stevens

0.8433179723502304 35 / 217
Bestseller Score [?]
Ranked 35 out of 217 books in our database
0.5853658536585367 1 credentials
Author Score [?]
0.6774193548387096 3 comments
Audience Score [?]
0.7020343936158255
Pythonmeter [?]
Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts t...
Published on : Aug. 4, 2020
Python version: TH
520 pages

Machine Learning in Action

by Peter Harrington

0.631336405529954 81 / 217
Bestseller Score [?]
Ranked 81 out of 217 books in our database
0.5853658536585367 1 credentials
Author Score [?]
0.6059907834101382 2 comments
Audience Score [?]
0.6075643475328762
Pythonmeter [?]
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

0.5161290322580645 106 / 217
Bestseller Score [?]
Ranked 106 out of 217 books in our database
0.5853658536585367 1 credentials
Author Score [?]
0.6774193548387096 3 comments
Audience Score [?]
0.5929714135851035
Pythonmeter [?]
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

0.7142857142857143 63 / 217
Bestseller Score [?]
Ranked 63 out of 217 books in our database
0.17317073170731706 0 credentials
Author Score [?]
No author credentials found
0.8433179723502304 12 comments
Audience Score [?]
0.5769248061144207
Pythonmeter [?]
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

Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow

by Magnus Ekman

0.4470046082949309 121 / 217
Bestseller Score [?]
Ranked 121 out of 217 books in our database
0.5853658536585367 2 credentials
Author Score [?]
0.6059907834101382 2 comments
Audience Score [?]
0.5461204151212019
Pythonmeter [?]
Deep learning (DL) is a key component of today's exciting advances in machine learning and artificial intelligence. Learning Deep Learning is a complete guide to DL. Illuminating both the core conc...
Published on : Aug. 17, 2021
Python version: TH
752 pages

Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python

by Mike Cohen

0.8709677419354839 29 / 217
Bestseller Score [?]
Ranked 29 out of 217 books in our database
0.39268292682926825 1 credentials
Author Score [?]
0.21198156682027652 0 comments
Audience Score [?]
No Reddit comments mentioned the book
0.4918774118616762
Pythonmeter [?]
This practical guide from Mike X Cohen teaches the core concepts of linear algebra as implemented in Python, including how they're used in data science, machine learning, deep learning, computation...
Published on : Oct. 18, 2022
Python version: TH
328 pages

Inside Deep Learning: Math, Algorithms, Models

by Edward Raff

0.47926267281105994 114 / 217
Bestseller Score [?]
Ranked 114 out of 217 books in our database
0.775609756097561 5 credentials
Author Score [?]
0.21198156682027652 0 comments
Audience Score [?]
No Reddit comments mentioned the book
0.4889513319096324
Pythonmeter [?]
Inside Deep Learning is an accessible guide to implementing deep learning with the PyTorch framework. It demystifies complex deep learning concepts and teaches you to understand the vocabulary of d...
Published on : May 31, 2022
Python version: TH
600 pages

Applied Machine Learning and AI for Engineers: Solve Business Problems That Can't Be Solved Algorithmically

by Jeff Prosise

0.6589861751152074 75 / 217
Bestseller Score [?]
Ranked 75 out of 217 books in our database
0.5853658536585367 2 credentials
Author Score [?]
0.21198156682027652 0 comments
Audience Score [?]
No Reddit comments mentioned the book
0.48544453186467346
Pythonmeter [?]
Applied Machine Learning and AI for Engineers provides examples and illustrations from the AI and ML course Prosise teaches at companies and research institutions worldwide. There's no fluff and no...
Published on : Dec. 20, 2022
Python version: TH
425 pages

Statistical Learning with Math and Python: 100 Exercises for Building Logic

by Joe Suzuki

0.8248847926267281 39 / 217
Bestseller Score [?]
Ranked 39 out of 217 books in our database
0.39268292682926825 1 credentials
Author Score [?]
0.21198156682027652 0 comments
Audience Score [?]
No Reddit comments mentioned the book
0.4765164287587576
Pythonmeter [?]
The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textbook approaches the essence of machine...
Published on : Aug. 4, 2021
Python version: TH
268 pages

GANs in Action: Deep learning with Generative Adversarial Networks

by Jakub Langr

0.2304147465437788 168 / 217
Bestseller Score [?]
Ranked 168 out of 217 books in our database
0.875609756097561 1 credentials
Author Score [?]
0.21198156682027652 0 comments
Audience Score [?]
No Reddit comments mentioned the book
0.4393353564872054
Pythonmeter [?]
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

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

by Chris Albon

0.6497695852534562 77 / 217
Bestseller Score [?]
Ranked 77 out of 217 books in our database
0.17317073170731706 0 credentials
Author Score [?]
No author credentials found
0.4930875576036866 1 comments
Audience Score [?]
0.43867595818815325
Pythonmeter [?]
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

MLOps Engineering at Scale

by Carl Osipov

0.2073732718894009 173 / 217
Bestseller Score [?]
Ranked 173 out of 217 books in our database
0.5853658536585367 4 credentials
Author Score [?]
0.21198156682027652 0 comments
Audience Score [?]
No Reddit comments mentioned the book
0.3349068974560714
Pythonmeter [?]
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

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

by Prateek Joshi

0.20276497695852533 174 / 217
Bestseller Score [?]
Ranked 174 out of 217 books in our database
0.5853658536585367 1 credentials
Author Score [?]
0.21198156682027652 0 comments
Audience Score [?]
No Reddit comments mentioned the book
0.3333707991457795
Pythonmeter [?]
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

Hands-On Genetic Algorithms with Python

by Eyal Wirsansky

0.3271889400921659 147 / 217
Bestseller Score [?]
Ranked 147 out of 217 books in our database
0.17317073170731706 0 credentials
Author Score [?]
No author credentials found
0.4930875576036866 1 comments
Audience Score [?]
0.3311490764677232
Pythonmeter [?]
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 for Time-Series with Python:

by Ben Auffarth

0.35944700460829493 140 / 217
Bestseller Score [?]
Ranked 140 out of 217 books in our database
0.39268292682926825 2 credentials
Author Score [?]
0.21198156682027652 0 comments
Audience Score [?]
No Reddit comments mentioned the book
0.32137049941927986
Pythonmeter [?]
The Python time-series ecosystem is huge and often quite hard to get a good grasp on, especially for time-series since there are so many new libraries and new models. This book aims to deepen your ...
Published on : Oct. 29, 2021
Python version: TH
370 pages

Real-World Machine Learning

by Henrik Brink

0.11059907834101383 194 / 217
Bestseller Score [?]
Ranked 194 out of 217 books in our database
0.5853658536585367 1 credentials
Author Score [?]
0.21198156682027652 0 comments
Audience Score [?]
No Reddit comments mentioned the book
0.3026488329399423
Pythonmeter [?]
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

0.10599078341013826 195 / 217
Bestseller Score [?]
Ranked 195 out of 217 books in our database
0.5853658536585367 1 credentials
Author Score [?]
0.21198156682027652 0 comments
Audience Score [?]
No Reddit comments mentioned the book
0.3011127346296505
Pythonmeter [?]
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

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

by Valentino Zocca

0.041474654377880185 209 / 217
Bestseller Score [?]
Ranked 209 out of 217 books in our database
0.5853658536585367 1 credentials
Author Score [?]
0.21198156682027652 0 comments
Audience Score [?]
No Reddit comments mentioned the book
0.2796073582855645
Pythonmeter [?]
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

Machine Learning with TensorFlow

by Nishant Shukla

0.16129032258064516 183 / 217
Bestseller Score [?]
Ranked 183 out of 217 books in our database
0.17317073170731706 0 credentials
Author Score [?]
No author credentials found
0.4930875576036866 1 comments
Audience Score [?]
0.2758495372972163
Pythonmeter [?]
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

Mastering Python for Data Science

by Samir Madhavan

0.4009216589861751 131 / 217
Bestseller Score [?]
Ranked 131 out of 217 books in our database
0.17317073170731706 0 credentials
Author Score [?]
No author credentials found
0.21198156682027652 0 comments
Audience Score [?]
No Reddit comments mentioned the book
0.26202465250458956
Pythonmeter [?]
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

0.28110599078341014 157 / 217
Bestseller Score [?]
Ranked 157 out of 217 books in our database
0.17317073170731706 0 credentials
Author Score [?]
No author credentials found
0.21198156682027652 0 comments
Audience Score [?]
No Reddit comments mentioned the book
0.22208609643700125
Pythonmeter [?]
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