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Etiquetadata science

Incluye: data science, Data Science, data-science, Data science, datascience, dataScience, data_science, DataScience, Data_Science

Traducciones: Sciences des données, datavetenskap, Datenwissenschaften

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Data Science from Scratch: First Principles with Python por Joel Grus (26 veces)
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy por Cathy O'Neil (24 veces)
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking por Foster Provost (20 veces)
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython por Wes McKinney (20 veces)
Doing Data Science: Straight Talk from the Frontline por Cathy O'Neil (18 veces)
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data por Hadley Wickham (16 veces)
The Signal and the Noise: Why So Many Predictions Fail — but Some Don't por Nate Silver (13 veces)
Invisible Women: Data Bias in a World Designed for Men por Caroline Criado Perez (12 veces)
Statistics for Data Scientists: 50 Essential Concepts por Peter Bruce (12 veces)
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are por Seth Stephens-Davidowitz (11 veces)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction por Trevor Hastie (11 veces)
Python Data Science Handbook: Essential Tools for Working with Data por Jake VanderPlas (10 veces)
Data Smart: Using Data Science to Transform Information into Insight por John W. Foreman (9 veces)
An Introduction to Statistical Learning: with Applications in R por Gareth James (9 veces)
The Art of Statistics: How to Learn from Data por David Spiegelhalter (8 veces)
Data Science (The MIT Press Essential Knowledge series) por John D. Kelleher (8 veces)
Data Science For Dummies por Lillian Pierson (8 veces)
Data Science at the Command Line: Facing the Future with Time-Tested Tools por Jeroen Janssens (8 veces)
ggplot2: Elegant Graphics for Data Analysis por Hadley Wickham (8 veces)
Data Feminism (Strong Ideas) por Catherine D'Ignazio (7 veces)
The Model Thinker: What You Need to Know to Make Data Work for You por Scott E. Page (7 veces)
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World por Pedro Domingos (7 veces)
Agile Data Science: Building Data Analytics Applications with Hadoop por Russell Jurney (7 veces)
Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites por Matthew A. Russell (7 veces)
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems por Aurélien Géron (6 veces)

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