cowgoesmoo
Arslan

Datasc Ai

#2

Python for Data Analysis

2017 • 31 Readers • 676 pages • 4.3

#3

How to Lie with Statistics

1954 • 180 Readers • 144 pages • 3.8

#4

Deep Learning

11 Adaptive Computation and Machine Learning

2016 • 39 Readers • 800 pages • 4.6

#5

Neural Networks and Deep Learning

2013 • 18 Readers • 224 pages • 5

#6

Artificial intelligence

1994 • 52 Readers • 1,153 pages • 3.9

#7

Naked Statistics: Stripping the Dread from the Data

15 Naked

2012 • 91 Readers • 300 pages • 3.7

#8

Deep Learning with Python

2017 • 17 Readers • 384 pages • 5

#9

Programming Collective Intelligence: Building Smart Web 2.0 Applications

2002 • 18 Readers • 3.3

#10

Pattern Recognition and Machine Learning

2016 • 27 Readers • 758 pages • 3.7

#11

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

2015 • 10 Readers • 376 pages • 4

#12

Data Science From Scratch: First Principles with Python

2015 • 12 Readers • 500 pages • 3.8

@cowgoesmoo
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#13

Neural Network Methods for Natural Language Processing

2017 • 1 Reader • 311 pages

#14

One Jump Ahead: Computer Perfection at Checkers

1997 • 1 Reader • 585 pages

#15

An Introduction to Statistical Learning

2013 • 28 Readers • 426 pages • 3.7

#16

The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind

2006 • 16 Readers • 400 pages • 4

#17

Cover 4

1988 • 1 Reader • 274 pages

#18

Paradigms of artificial intelligence programming

1991 • 10 Readers • 946 pages

#19

Statistical Inference

2001 • 11 Readers • 4

#20

Superintelligence: Paths, Dangers, Strategies

2014 • 315 Readers • 353 pages • 3.5

#21

The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World

2015 • 85 Readers • 352 pages • 3.1

#22

Reinforcement learning

9 Readers • 4

#23

The Elements of Statistical Learning: Data Mining, Inference, and Prediction

2001 • 28 Readers • 768 pages • 4.3

#24

Society Of Mind

1985 • 51 Readers • 336 pages • 4

#25

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

2017 • 29 Readers • 819 pages • 5

#26

Our Final Invention

2015 • 51 Readers • 336 pages • 3.4

#27

The Model Thinker

2018 • 31 Readers • 448 pages • 3.3

#28

Cover 4

2019 • 535 pages

#29

Natural Language Processing Using Python

2020 • 2 Readers • 193 pages

#30

Natural Language Processing in Action

3 Readers • 4.8

#31

Transformers for Natural Language Processing

2021 • 1 Reader • 384 pages

#32

Natural Language Processing with PyTorch: Build Intelligent Language Applications Using Deep Learning

2019 • 1 Reader • 256 pages