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23 books
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1 voter
Ml Books
Showing 1-50 of 3,766
Hands-On Machine Learning with Scikit-Learn and TensorFlow (ebook)
by (shelved 97 times as ml)
avg rating 4.55 — 2,847 ratings — published 2017
Pattern Recognition and Machine Learning (Information Science and Statistics)
by (shelved 70 times as ml)
avg rating 4.32 — 1,914 ratings — published
The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Hardcover)
by (shelved 53 times as ml)
avg rating 4.43 — 1,906 ratings — published 2001
The Hundred-Page Machine Learning Book (Paperback)
by (shelved 47 times as ml)
avg rating 4.25 — 1,476 ratings — published
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications (Paperback)
by (shelved 42 times as ml)
avg rating 4.44 — 1,135 ratings — published 2022
Machine Learning: A Probabilistic Perspective (Hardcover)
by (shelved 41 times as ml)
avg rating 4.34 — 522 ratings — published
Deep Learning with Python (Paperback)
by (shelved 38 times as ml)
avg rating 4.57 — 1,432 ratings — published 2017
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
by (shelved 36 times as ml)
avg rating 4.59 — 2,359 ratings — published 2013
Artificial Intelligence: A Modern Approach (Hardcover)
by (shelved 28 times as ml)
avg rating 4.21 — 4,478 ratings — published 1994
Machine Learning Yearning (ebook)
by (shelved 28 times as ml)
avg rating 4.29 — 426 ratings — published
Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)
by (shelved 28 times as ml)
avg rating 4.54 — 839 ratings — published
Python Machine Learning (Paperback)
by (shelved 25 times as ml)
avg rating 4.24 — 760 ratings — published 2015
Mathematics for Machine Learning: 1st Edition (Kindle Edition)
by (shelved 21 times as ml)
avg rating 4.32 — 265 ratings — published
Information Theory, Inference, and Learning Algorithms (Paperback)
by (shelved 18 times as ml)
avg rating 4.52 — 497 ratings — published 2002
Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps (Paperback)
by (shelved 17 times as ml)
avg rating 4.16 — 290 ratings — published
Building Machine Learning Powered Applications: Going from Idea to Product (Paperback)
by (shelved 16 times as ml)
avg rating 4.21 — 151 ratings — published
Neural Networks and Deep Learning (ebook)
by (shelved 15 times as ml)
avg rating 4.58 — 457 ratings — published 2013
Introduction to Machine Learning with Python: A Guide for Data Scientists (Paperback)
by (shelved 15 times as ml)
avg rating 4.33 — 603 ratings — published 2015
Understanding Machine Learning (Hardcover)
by (shelved 15 times as ml)
avg rating 4.21 — 135 ratings — published 2014
Why Machines Learn: The Elegant Math Behind Modern AI (Hardcover)
by (shelved 14 times as ml)
avg rating 4.38 — 1,264 ratings — published 2024
Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python (Paperback)
by (shelved 14 times as ml)
avg rating 4.41 — 116 ratings — published
Deep Learning for Coders with Fastai and Pytorch: AI Applications Without a PhD (Paperback)
by (shelved 14 times as ml)
avg rating 4.40 — 276 ratings — published
Python Data Science Handbook: Essential Tools for Working with Data (Paperback)
by (shelved 14 times as ml)
avg rating 4.30 — 678 ratings — published 2016
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World (Hardcover)
by (shelved 14 times as ml)
avg rating 3.73 — 6,516 ratings — published 2015
Build a Large Language Model (From Scratch)
by (shelved 13 times as ml)
avg rating 4.59 — 340 ratings — published
Machine Learning (McGraw-Hill International Editions Computer Science Series)
by (shelved 13 times as ml)
avg rating 4.07 — 859 ratings — published 1986
The StatQuest Illustrated Guide To Machine Learning (Kindle Edition)
by (shelved 12 times as ml)
avg rating 4.65 — 247 ratings — published
Understanding Deep Learning (Kindle Edition)
by (shelved 12 times as ml)
avg rating 4.63 — 113 ratings — published
Machine Learning Engineering (Hardcover)
by (shelved 12 times as ml)
avg rating 4.33 — 152 ratings — published
Grokking Deep Learning (ebook)
by (shelved 12 times as ml)
avg rating 4.22 — 266 ratings — published
Advances in Financial Machine Learning (Kindle Edition)
by (shelved 11 times as ml)
avg rating 4.12 — 462 ratings — published 2018
Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play (Paperback)
by (shelved 11 times as ml)
avg rating 4.29 — 268 ratings — published
Applied Predictive Modeling (Hardcover)
by (shelved 11 times as ml)
avg rating 4.40 — 345 ratings — published 2013
Machine Learning for Hackers (Paperback)
by (shelved 11 times as ml)
avg rating 3.72 — 409 ratings — published 2012
Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)
by (shelved 10 times as ml)
avg rating 4.48 — 75 ratings — published
Interpretable Machine Learning (Unknown Binding)
by (shelved 10 times as ml)
avg rating 4.17 — 100 ratings — published
Convex Optimization (Hardcover)
by (shelved 10 times as ml)
avg rating 4.48 — 358 ratings — published 2004
Deep Learning: Foundations and Concepts (Hardcover)
by (shelved 9 times as ml)
avg rating 4.69 — 54 ratings — published
An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics)
by (shelved 9 times as ml)
avg rating 4.63 — 107 ratings — published
Machine Learning System Design Interview (Paperback)
by (shelved 9 times as ml)
avg rating 4.24 — 127 ratings — published
The State and Revolution (Paperback)
by (shelved 9 times as ml)
avg rating 4.27 — 19,679 ratings — published 1917
Imperialism: The Highest Stage of Capitalism (Paperback)
by (shelved 9 times as ml)
avg rating 4.28 — 11,427 ratings — published 1917
Learning From Data: A Short Course (Hardcover)
by (shelved 9 times as ml)
avg rating 4.38 — 442 ratings — published 2012
AI Engineering: Building Applications with Foundation Models (Paperback)
by (shelved 8 times as ml)
avg rating 4.39 — 1,166 ratings — published
Designing Data-Intensive Applications (ebook)
by (shelved 8 times as ml)
avg rating 4.69 — 10,936 ratings — published 2015
What Is to Be Done? (Paperback)
by (shelved 8 times as ml)
avg rating 4.12 — 5,781 ratings — published 1902
Foundations of Machine Learning (Hardcover)
by (shelved 8 times as ml)
avg rating 4.22 — 95 ratings — published
All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)
by (shelved 8 times as ml)
avg rating 4.26 — 410 ratings — published 2003
Machine Learning in Action (Paperback)
by (shelved 8 times as ml)
avg rating 3.77 — 239 ratings — published 2011
“Artificial Intelligence is the mind directing the body, as software guides hardware, while the Internet of Things lets the body inform the mind, with hardware feeding data to software.”
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“The human condition is plagued with a labyrinth of shortcomings, frailties and limitations that hinder man from reaching his fullest potential. Therefore, it only makes sense that we find ourselves at the next phase in human evolution where restricted man merges with the infinite possibilities of hyper-evolving technologies. This techno-human transmutation will prove to be ‘the’ quantum leap in human progression. The harmonization of technologically extending oneself, consciousness, artificial intelligence and machine learning will reverse the failures of genetic predisposition and limitation.”
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