Books — data science

EN
Causal Inference in Python: Applying Causal Inference in the Tech Industry

Causal Inference in Python: Applying Causal Inference in the Tech Industry

A

Matheus Facure

AI and ML
EN
Fundamentals of Data Science: Theory and Practice

Fundamentals of Data Science: Theory and Practice

A

Jugal K. Kalita, Dhruba K. Bhattacharyya, Swarup Roy

AI and ML
EN
Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications, Second Edition

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications, Second Edition

A

Laura Igual, Santi Seguí

AI and ML
EN
Principles of Data Science: A beginner’s guide to essential math and coding skills for data fluency and machine learning

Principles of Data Science: A beginner’s guide to essential math and coding skills for data fluency and machine learning

A

Sinan Ozdemir

AI and ML
EN
Data Science Solutions on Azure: The Rise of Generative AI and Applied AI, Second Edition

Data Science Solutions on Azure: The Rise of Generative AI and Applied AI, Second Edition

A

Julian Soh, Priyanshi Singh

DevOps and Infrastructure
EN
Spark for Python Developers

Spark for Python Developers

A

Amit Nandi

AI and ML
EN
Python Data Visualization Cookbook, Second Edition

Python Data Visualization Cookbook, Second Edition

A

Igor Milovanović, Dimitry Foures, Giuseppe Vettigli

AI and ML
EN
Essential Data Analytics, Data Science, and AI: A Practical Guide for a Data-Driven World

Essential Data Analytics, Data Science, and AI: A Practical Guide for a Data-Driven World

A

Maxine Attobrah

AI and ML
RU
Learning D3.js

Learning D3.js

C

Филипп К. Джанетто, Скотт Мюррей

AI and ML
EN
Strategic Engineering for Cloud Computing and Big Data Analytics

Strategic Engineering for Cloud Computing and Big Data Analytics

A

Amin Hosseinian-Far, Muthu Ramachandran, Dilshad Sarwar

AI and ML
EN
Machine Learning Interviews: Kickstart Your Machine Learning and Data Career

Machine Learning Interviews: Kickstart Your Machine Learning and Data Career

A

Susan Shu Chang

AI and ML
EN
Algorithms for Data Science

Algorithms for Data Science

A

Brian Steele, John Chandler, Swarna Reddy

Algorithms and theory
EN
Python for Data Science: A Hands-On Introduction

Python for Data Science: A Hands-On Introduction

A

Yuli Vasiliev

AI and ML
EN
Graph-Powered Analytics and Machine Learning with TigerGraph: Driving Business Outcomes with Connected Data

Graph-Powered Analytics and Machine Learning with TigerGraph: Driving Business Outcomes with Connected Data

A

Victor Lee, Phuc Kien Nguyen, Alexander Thomas

AI and ML
EN
Data Visualization: A Practical Introduction

Data Visualization: A Practical Introduction

A

Kieran Healy

AI and ML
EN
Introduction to HPC with MPI for Data Science

Introduction to HPC with MPI for Data Science

A

Frank Nielsen

AI and ML
EN
Data Science at the Command Line: Facing the Future with Time-Tested Tools

Data Science at the Command Line: Facing the Future with Time-Tested Tools

A

Jeroen Janssens

AI and ML
EN
ElasticSearch Cookbook, Second Edition

ElasticSearch Cookbook, Second Edition

B

Alberto Paro

AI and ML
EN
Dive Into Data Science: Use Python to Tackle Your Toughest Business Challenges

Dive Into Data Science: Use Python to Tackle Your Toughest Business Challenges

A

Bradford Tuckfield

AI and ML
EN
Data Visualization with Python: Exploring Matplotlib, Seaborn, and Bokeh for Interactive Visualizations

Data Visualization with Python: Exploring Matplotlib, Seaborn, and Bokeh for Interactive Visualizations

A

Dr. Pooja

AI and ML
EN
Ethical Reasoning in Big Data: An Exploratory Analysis

Ethical Reasoning in Big Data: An Exploratory Analysis

A

Jeff Collmann, Sorin Adam Matei

AI and ML
RU
Machine Learning with Python for Everyone

Machine Learning with Python for Everyone

A

Андреас Мюллер, Сара Гвидо

AI and ML
EN
Impractical Python Projects: Playful Programming Activities to Make You Smarter

Impractical Python Projects: Playful Programming Activities to Make You Smarter

B

Lee Vaughan

AI and ML
EN
Linear Algebra for Data Science with Python

Linear Algebra for Data Science with Python

A

John M. Shea

AI and ML
EN
Data Science for IoT Engineers: A Systems Analytics Approach

Data Science for IoT Engineers: A Systems Analytics Approach

A

P. G. Madhavan, Ph.D.

AI and ML
EN
Clojure Data Analysis Cookbook Second Edition

Clojure Data Analysis Cookbook Second Edition

A

Eric Rochester

Programming languages
EN
Parallel Computing for Data Science: With Examples in R, C++ and CUDA

Parallel Computing for Data Science: With Examples in R, C++ and CUDA

A

Norman Matloff

AI and ML
RU
Daniel Vaughan - Data Science. Best Practices (O'Reilly. Programming Books) - 2026

Daniel Vaughan - Data Science. Best Practices (O'Reilly. Programming Books) - 2026

F
WEB development
EN
Foundations of Data Science with Python

Foundations of Data Science with Python

A

John M. Shea

Algorithms and theory
RU
Kavishankar Panchtilak - Programming Machine Learning - 2023

Kavishankar Panchtilak - Programming Machine Learning - 2023

F
WEB development
EN
Managing Machine Learning Projects: From design to deployment

Managing Machine Learning Projects: From design to deployment

A

Simon Thompson

AI and ML
EN
A Handbook of Mathematical Models with Python

A Handbook of Mathematical Models with Python

A

Dr. Ranja Sarkar

AI and ML
EN
15 Math Concepts Every Data Scientist Should Know

15 Math Concepts Every Data Scientist Should Know

A

David Hoyle

AI and ML
EN
Data Science For Dummies

Data Science For Dummies

A

Lillian Pierson

AI and ML
EN
R All-in-One For Dummies

R All-in-One For Dummies

A

Joseph Schmuller

AI and ML
EN
Machine Learning Interview Guide: Job-oriented questions and answers for data scientists and engineers

Machine Learning Interview Guide: Job-oriented questions and answers for data scientists and engineers

A

Rehan Guha

AI and ML
EN
Data Mining For Dummies

Data Mining For Dummies

A

Не указан

AI and ML
EN
Python: Deeper Insights into Machine Learning

Python: Deeper Insights into Machine Learning

A

Sebastian Raschka, David Julian, John Hearty

AI and ML
EN
Getting Started with Greenplum for Big Data Analytics

Getting Started with Greenplum for Big Data Analytics

A

Sunila Gollapudi

AI and ML
EN
Mastering Microsoft Fabric: SAASification of Analytics

Mastering Microsoft Fabric: SAASification of Analytics

B

Debananda Ghosh

AI and ML
EN
Network Science with Python

Network Science with Python

A

David Knickerbocker

AI and ML
EN
An Introduction to Statistical Learning with Applications in R

An Introduction to Statistical Learning with Applications in R

A

Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani

AI and ML
EN
Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python

Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python

A

Mike X Cohen

AI and ML
EN
Haskell Data Analysis Cookbook

Haskell Data Analysis Cookbook

A

Nishant Shukla

Programming languages
EN
Modern Survey Analysis: Using Python for Deeper Insights

Modern Survey Analysis: Using Python for Deeper Insights

A

Walter R. Paczkowski

Algorithms and theory
EN
Data Science from Scratch: First Principles with Python, Second Edition

Data Science from Scratch: First Principles with Python, Second Edition

A

Joel Grus

AI and ML
RU
Joel Grus - Data Science from Scratch - 2017

Joel Grus - Data Science from Scratch - 2017

F
WEB development
EN
Data Science from Scratch

Data Science from Scratch

A

Joel Grus

AI and ML
EN
Hands-On Data Analysis with Pandas

Hands-On Data Analysis with Pandas

A

Stefanie Molin

AI and ML
EN
Bayesian Analysis with Python Third Edition: A practical guide to probabilistic modeling

Bayesian Analysis with Python Third Edition: A practical guide to probabilistic modeling

A

Osvaldo Martin

Algorithms and theory
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