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daanz
List byDaan Zeeuwe

Data Science

  • December 14, 2024
  • 41 Books
  • Stats
Card

#2

Practical Statistics for Data Scientists

Practical Statistics for Data Scientists
ByPeter Bruce,Andrew Bruce

2017 • 1 Reader • 395 pages

#3

Python for Data Analysis

Python for Data Analysis
ByWes McKinney

2017 • 15 Readers • 676 pages • 4.3

#4

Python Data Science Handbook

Python Data Science Handbook
ByJake VanderPlas

2016 • 2 Readers • 548 pages • 4

#5

R for Data Science

R for Data Science
ByHadley Wickham,Garrett Grolemund

2016 • 6 Readers • 492 pages • 5

#6

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

Introduction to Machine Learning with Python: A Guide for Data Scientists
ByAndreas C. Müller,Sarah Guido

2015 • 1 Reader • 376 pages

#7

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

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

2017 • 19 Readers • 819 pages • 5

#8

An Introduction to Statistical Learning

An Introduction to Statistical Learning
ByDaniela Witten,Trevor Hastie,+2 more

2013 • 5 Readers • 426 pages

#9

Data Science From Scratch: First Principles with Python

Data Science From Scratch: First Principles with Python
ByJoel Grus

2015 • 4 Readers • 500 pages • 4

#10

Build a Career in Data Science

Build a Career in Data Science
ByEmily Robinson,Jacqueline Nolis

2020 • 1 Reader • 352 pages

#11

Cover 6

Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street
ByKevin Huo,Nick Singh

1 Reader • 301 pages

#12

Computer Age Statistical Inference

Computer Age Statistical Inference
ByBradley Efron

#13

Cover 3

Building Data Science Teams
ByD.J. Patil

2011 • 1 Reader • 3

#14

Data Science for Business

Data Science for Business
ByFoster Provost,Tom Fawcett

2013 • 20 Readers • 414 pages • 3

#15

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
ByMartin Kleppmann

2015 • 146 Readers • 562 pages • 4.6

#16

Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy

Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
ByCathy O'Neil

2016 • 248 Readers • 274 pages • 3.7

#17

Big Data

Big Data
ByViktor Mayer-Schönberger,Kenneth Cukier

2013 • 29 Readers • 242 pages • 3.4

#18

The Data Science Handbook

The Data Science Handbook
ByCarl Shan,Henry Wang,+2 more

2015 • 1 Reader • 285 pages

#19

Mining of Massive Datasets

Mining of Massive Datasets
ByAnand Rajaraman,Jeffrey David Ullman

2011 • 4 Readers • 480 pages

#20

Neural Networks and Deep Learning: A Textbook

Neural Networks and Deep Learning: A Textbook
ByCharu C. Aggarwal

2018 • 1 Reader • 496 pages

#21

Cover 0

Applied Artificial Intelligence: Neural networks and deep learning with Python and TensorFlow
ByWolfgang Beer

1 Reader

#22

Bayesian Reasoning and Machine Learning

Bayesian Reasoning and Machine Learning
ByDavid Barber

2011 • 1 Reader • 735 pages

#23

Introduction to Probability

Introduction to Probability
ByDimitri P. Bertsekas,John N. Tsitsiklis

2002 • 1 Reader • 416 pages • 4

#24

Cover 0

Think Bayes: Bayesian Statistics in Python
ByAllen B. Downey

2012 • 3 Readers • 214 pages

#25

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

The Elements of Statistical Learning: Data Mining, Inference, and Prediction
ByTrevor Hastie,Robert Tibshirani,+1 more

2001 • 6 Readers • 768 pages

#26

Data Mining and Machine Learning: Fundamental Concepts and Algorithms

Data Mining and Machine Learning: Fundamental Concepts and Algorithms
ByMohammed J. Zaki,Wagner Meira Jr.

2020 • 1 Reader • 779 pages

#27

Think Stats

Think Stats
ByAllen B. Downey

2011 • 2 Readers

#28

Essential Math for Data Science: Take Control of Your Data with Fundamental Calculus, Linear Algebra, Probability, and Statistics

Essential Math for Data Science: Take Control of Your Data with Fundamental Calculus, Linear Algebra, Probability, and Statistics
ByHadrien Jean

2020 • 1 Reader • 347 pages • 4

#29

The Art of Data Science: A Guide for Anyone Who Works with Data

The Art of Data Science: A Guide for Anyone Who Works with Data
ByRoger D. Peng,Elizabeth Matsui

2015 • 1 Reader • 154 pages • 4

#30

Cover 4

Agile Data Science: Building Data Analytics Applications with Hadoop
ByRussell Jurney

2013 • 1 Reader • 178 pages

#31

Cover 0

The Hundred-Page Machine Learning Book
ByAndriy Burkov

10 Readers • 159 pages • 2

#32

Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data

Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data
ByAnkur A Patel

2019 • 1 Reader • 362 pages • 4

#33

Cover 0

Building Machine Learning Powered Applications: Going from Idea to Product
ByEmmanuel Ameisen

3 Readers • 256 pages

#34

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

Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning
ByKyle Gallatin,Chris Albon

1 Reader

#35

The Stuff of Thought

The Stuff of Thought
BySteven Pinker

2007 • 30 Readers • 499 pages • 3.3

#36

Markov Chains and Decision Processes for Engineers and Managers

Markov Chains and Decision Processes for Engineers and Managers
ByTheodore J. Sheskin

2009 • 1 Reader • 478 pages

#37

Basics of Linear Algebra for Machine Learning: Discover the Mathematical Language of Data in Python

Basics of Linear Algebra for Machine Learning: Discover the Mathematical Language of Data in Python
ByJason Brownlee

1 Reader • 211 pages • 4

#38

Leadership by Algorithm: Who Leads and Who Follows in the AI Era?

Leadership by Algorithm: Who Leads and Who Follows in the AI Era?
ByDavid De Cremer

2020 • 1 Reader • 210 pages

#39

Genius Makers

Genius Makers
ByCade Metz

2021 • 16 Readers • 384 pages • 4

#40

Quick Start Guide to Large Language Models: Strategies and Best Practices for Using ChatGPT and Other LLMs

Quick Start Guide to Large Language Models: Strategies and Best Practices for Using ChatGPT and Other LLMs
BySinan Ozdemir

2023 • 1 Reader • 4

#41

Crypto Technical Analysis: Your One-Stop Guide to Investing, Trading, and Profiting in Crypto with Technical Analysis.

Crypto Technical Analysis: Your One-Stop Guide to Investing, Trading, and Profiting in Crypto with Technical Analysis.
ByAlan John

2021 • 1 Reader • 266 pages • 4

#42

Minding the Machines: Building and Leading Data Science and Analytics Teams

Minding the Machines: Building and Leading Data Science and Analytics Teams
ByJeremy Adamson

2021 • 1 Reader • 240 pages