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Etichettadata science

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

Traduzioni: Sciences des données, datavetenskap, Datenwissenschaften

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Data Science from Scratch: First Principles with Python di Joel Grus (26 volte)
Armi di distruzione matematica. Come i big data aumentano la disuguaglianza e minacciano la democrazia di Cathy O'Neil (24 volte)
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking di Foster Provost (20 volte)
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython di Wes McKinney (20 volte)
Doing Data Science: Straight Talk from the Frontline di Cathy O'Neil (18 volte)
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data di Hadley Wickham (16 volte)
Il segnale e il rumore: arte e scienza della previsione di Nate Silver (13 volte)
Invisibili. Come il nostro mondo ignora le donne in ogni campo. Dati alla mano. di Caroline Criado Perez (12 volte)
Statistics for Data Scientists: 50 Essential Concepts di Peter Bruce (12 volte)
La macchina della verità. Come Google e i Big Data ci mostrano chi siamo veramente di Seth Stephens-Davidowitz (11 volte)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction di Trevor Hastie (11 volte)
Python Data Science Handbook: Essential Tools for Working with Data di Jake VanderPlas (10 volte)
Data Smart: Using Data Science to Transform Information into Insight di John W. Foreman (9 volte)
An Introduction to Statistical Learning: with Applications in R di Gareth James (9 volte)
L'arte della statistica: cosa ci insegnano i dati di David Spiegelhalter (8 volte)
Data Science (The MIT Press Essential Knowledge series) di John D. Kelleher (8 volte)
Data Science For Dummies di Lillian Pierson (8 volte)
Data Science at the Command Line: Facing the Future with Time-Tested Tools di Jeroen Janssens (8 volte)
ggplot2: Elegant Graphics for Data Analysis di Hadley Wickham (8 volte)
Data Feminism (Strong Ideas) di Catherine D'Ignazio (7 volte)
The Model Thinker: What You Need to Know to Make Data Work for You di Scott E. Page (7 volte)
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World di Pedro Domingos (7 volte)
Agile Data Science: Building Data Analytics Applications with Hadoop di Russell Jurney (7 volte)
Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites di Matthew A. Russell (7 volte)
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems di Aurélien Géron (6 volte)

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