23 books
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Ml Books
Showing 1-50 of 3,892
Hands-On Machine Learning with Scikit-Learn and TensorFlow (ebook)
by (shelved 96 times as ml)
avg rating 4.55 — 2,867 ratings — published 2017
Pattern Recognition and Machine Learning (Information Science and Statistics)
by (shelved 70 times as ml)
avg rating 4.32 — 1,922 ratings — published
The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Hardcover)
by (shelved 53 times as ml)
avg rating 4.43 — 1,911 ratings — published 2001
The Hundred-Page Machine Learning Book (Paperback)
by (shelved 46 times as ml)
avg rating 4.25 — 1,492 ratings — published
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications (Paperback)
by (shelved 43 times as ml)
avg rating 4.43 — 1,175 ratings — published 2022
Machine Learning: A Probabilistic Perspective (Hardcover)
by (shelved 41 times as ml)
avg rating 4.35 — 524 ratings — published
Deep Learning with Python (Paperback)
by (shelved 38 times as ml)
avg rating 4.57 — 1,437 ratings — published 2017
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
by (shelved 34 times as ml)
avg rating 4.59 — 2,360 ratings — published 2013
Machine Learning Yearning (ebook)
by (shelved 29 times as ml)
avg rating 4.29 — 428 ratings — published
Artificial Intelligence: A Modern Approach (Hardcover)
by (shelved 28 times as ml)
avg rating 4.21 — 4,492 ratings — published 1994
Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)
by (shelved 27 times as ml)
avg rating 4.54 — 841 ratings — published
Python Machine Learning (Paperback)
by (shelved 25 times as ml)
avg rating 4.24 — 758 ratings — published 2015
Mathematics for Machine Learning: 1st Edition (Kindle Edition)
by (shelved 22 times as ml)
avg rating 4.32 — 275 ratings — published
Information Theory, Inference, and Learning Algorithms (Paperback)
by (shelved 18 times as ml)
avg rating 4.52 — 502 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 4.15 — 290 ratings — published
Building Machine Learning Powered Applications: Going from Idea to Product (Paperback)
by (shelved 16 times as ml)
avg rating 4.20 — 152 ratings — published
Neural Networks and Deep Learning (ebook)
by (shelved 15 times as ml)
avg rating 4.57 — 463 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 — 602 ratings — published 2015
Understanding Machine Learning (Hardcover)
by (shelved 15 times as ml)
avg rating 4.22 — 137 ratings — published 2014
Why Machines Learn: The Elegant Math Behind Modern AI (Hardcover)
by (shelved 14 times as ml)
avg rating 4.36 — 1,405 ratings — published 2024
Build a Large Language Model (From Scratch)
by (shelved 14 times as ml)
avg rating 4.58 — 380 ratings — published
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 — 119 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 — 281 ratings — published
Python Data Science Handbook: Essential Tools for Working with Data (Paperback)
by (shelved 14 times as ml)
avg rating 4.29 — 682 ratings — published 2016
The StatQuest Illustrated Guide To Machine Learning (Kindle Edition)
by (shelved 13 times as ml)
avg rating 4.64 — 258 ratings — published
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World (Hardcover)
by (shelved 13 times as ml)
avg rating 3.73 — 6,551 ratings — published 2015
Machine Learning (McGraw-Hill International Editions Computer Science Series)
by (shelved 13 times as ml)
avg rating 4.07 — 860 ratings — published 1986
AI Engineering: Building Applications with Foundation Models (Paperback)
by (shelved 12 times as ml)
avg rating 4.36 — 1,350 ratings — published
Understanding Deep Learning (Kindle Edition)
by (shelved 12 times as ml)
avg rating 4.64 — 119 ratings — published
Machine Learning Engineering (Hardcover)
by (shelved 12 times as ml)
avg rating 4.32 — 154 ratings — published
Grokking Deep Learning (ebook)
by (shelved 12 times as ml)
avg rating 4.22 — 267 ratings — published
Advances in Financial Machine Learning (Kindle Edition)
by (shelved 11 times as ml)
avg rating 4.13 — 471 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 — 270 ratings — published
Machine Learning for Hackers (Paperback)
by (shelved 11 times as ml)
avg rating 3.72 — 409 ratings — published 2012
An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics)
by (shelved 10 times as ml)
avg rating 4.59 — 116 ratings — published
Machine Learning System Design Interview (Paperback)
by (shelved 10 times as ml)
avg rating 4.25 — 132 ratings — published
Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)
by (shelved 10 times as ml)
avg rating 4.49 — 80 ratings — published
Applied Predictive Modeling (Hardcover)
by (shelved 10 times as ml)
avg rating 4.40 — 345 ratings — published 2013
Learning From Data: A Short Course (Hardcover)
by (shelved 10 times as ml)
avg rating 4.38 — 443 ratings — published 2012
Convex Optimization (Hardcover)
by (shelved 10 times as ml)
avg rating 4.48 — 363 ratings — published 2004
Deep Learning: Foundations and Concepts (Hardcover)
by (shelved 9 times as ml)
avg rating 4.62 — 60 ratings — published
Natural Language Processing with Transformers: Building Language Applications with Hugging Face (Paperback)
by (shelved 9 times as ml)
avg rating 4.37 — 218 ratings — published
Interpretable Machine Learning (Unknown Binding)
by (shelved 9 times as ml)
avg rating 4.16 — 99 ratings — published
The State and Revolution (Paperback)
by (shelved 9 times as ml)
avg rating 4.27 — 20,323 ratings — published 1917
Practical Statistics for Data Scientists: 50 Essential Concepts (Paperback)
by (shelved 9 times as ml)
avg rating 4.02 — 550 ratings — published
Imperialism: The Highest Stage of Capitalism (Paperback)
by (shelved 9 times as ml)
avg rating 4.28 — 11,828 ratings — published 1917
Designing Data-Intensive Applications (ebook)
by (shelved 8 times as ml)
avg rating 4.69 — 11,133 ratings — published 2015
What Is to Be Done? (Paperback)
by (shelved 8 times as ml)
avg rating 4.12 — 5,999 ratings — published 1902
Foundations of Machine Learning (Hardcover)
by (shelved 8 times as ml)
avg rating 4.22 — 95 ratings — published
“Artificial Intelligence is a tool, not a master. When you have clear goals, it can empower you to achieve them. But without direction, you risk becoming a servant to its evolving capabilities, rather than harnessing its power for your own advancement.”
― The Ultimate Modern Guide to Artificial Intelligence: Including Machine Learning, Deep Learning, IoT, Data Science, Robotics, The Future of Jobs, Required Upskilling and Intelligent Industries
― The Ultimate Modern Guide to Artificial Intelligence: Including Machine Learning, Deep Learning, IoT, Data Science, Robotics, The Future of Jobs, Required Upskilling and Intelligent Industries
“Dive deep into AI, but always keep a lifeline tethered to human empathy.”
― The Ultimate Modern Guide to Artificial Intelligence: Including Machine Learning, Deep Learning, IoT, Data Science, Robotics, The Future of Jobs, Required Upskilling and Intelligent Industries
― The Ultimate Modern Guide to Artificial Intelligence: Including Machine Learning, Deep Learning, IoT, Data Science, Robotics, The Future of Jobs, Required Upskilling and Intelligent Industries
