Books — data science

EN
Exploratory Data Analysis with Python Cookbook: Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data

Exploratory Data Analysis with Python Cookbook: Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data

A

Ayodele Oluleye

AI and ML
EN
R Programming: Statistical Data Analysis in Research

R Programming: Statistical Data Analysis in Research

A

Kingsley Okoye, Samira Hosseini

Programming languages
EN
Python Data Science Handbook: Essential Tools for Working with Data

Python Data Science Handbook: Essential Tools for Working with Data

A

Jake VanderPlas

AI and ML
EN
Practical Data Privacy: Enhancing Privacy and Security in Data

Practical Data Privacy: Enhancing Privacy and Security in Data

A

Katharine Jarmul

Cybersecurity
EN
D3.js in Action. Third Edition

D3.js in Action. Third Edition

A

Elijah Meeks, Anne-Marie Dufour

AI and ML
RU
Mastering.Data.Analysis.with.Python

Mastering.Data.Analysis.with.Python

A
Programming languages
EN
Managing Datasets and Models

Managing Datasets and Models

A

Oswald Campesato

AI and ML
EN
Machine Learning Algorithms Using Scikit and TensorFlow Environments

Machine Learning Algorithms Using Scikit and TensorFlow Environments

A

Puvvadi Baby Maruthi, Smrity Prasad, Amit Kumar Tyagi

AI and ML
RU
Machine Learning. Deep Dive into the Technology

Machine Learning. Deep Dive into the Technology

B

Артем Демиденко

AI and ML
EN
A Simple Introduction to Python

A Simple Introduction to Python

A

Stephen Lynch

Programming languages
EN
Data Storytelling with Altair and AI

Data Storytelling with Altair and AI

A

Angelica Lo Duca

AI and ML
EN
Python Machine Learning By Example. Fourth Edition

Python Machine Learning By Example. Fourth Edition

A

Yuxi (Hayden) Liu

AI and ML
EN
Applied Data Science Using PySpark: Learn the End-to-End Predictive Model-Building Cycle, Second Edition

Applied Data Science Using PySpark: Learn the End-to-End Predictive Model-Building Cycle, Second Edition

A

Ramcharan Kakarla, Sundar Krishnan, Balaji Dhamodharan, Venkata Gunnu

AI and ML
RU
Machine Learning for Business and Marketing

Machine Learning for Business and Marketing

A

Илья Кацов

AI and ML
EN
Hands-On Data Preprocessing in Python: Learn how to effectively prepare data for successful data analytics

Hands-On Data Preprocessing in Python: Learn how to effectively prepare data for successful data analytics

A

Roy Jafari

AI and ML
EN
Data Analytics & Visualization All-in-One For Dummies

Data Analytics & Visualization All-in-One For Dummies

A

Jack Hyman, Luca Massaron, Paul McFedries, John Paul Mueller, Lillian Pierson, Jonathan Reichental, PhD, Joseph Schmuller, Alan Simon, Allen G. Taylor

AI and ML
EN
Learn Enough Python to Be Dangerous: Software Development, Flask Web Apps, and Beginning Data Science with Python

Learn Enough Python to Be Dangerous: Software Development, Flask Web Apps, and Beginning Data Science with Python

A

Michael Hartl

WEB development
EN
Hands-On APIs for AI and Data Science: Python Development with FastAPI

Hands-On APIs for AI and Data Science: Python Development with FastAPI

A

Ryan Day

WEB development
EN
Essentials of Python for Artificial Intelligence and Machine Learning

Essentials of Python for Artificial Intelligence and Machine Learning

A

Pramod Gupta, Anupam Bagchi

AI and ML
EN
Starting Data Analytics with Generative AI and Python

Starting Data Analytics with Generative AI and Python

A

Artur Guja, Marlena Siwiak, Marian Siwiak

AI and ML
EN
Deep Learning with PyTorch Step-by-Step: A Beginner’s Guide

Deep Learning with PyTorch Step-by-Step: A Beginner’s Guide

A

Daniel Voigt Godoy

AI and ML
RU
Deep Learning with R

Deep Learning with R

A

Франсуа Шолле

AI and ML
RU
Data Science. Insider Information for Beginners. Including the R Language

Data Science. Insider Information for Beginners. Including the R Language

A

Кэти О’Нил, Рэйчел Шатт

Algorithms and theory
RU
Data Science. Data Science from Scratch

Data Science. Data Science from Scratch

A

Джоэл Грае (Joel Grus)

AI and ML
RU
Data Mining. Extracting Information from Facebook, Twitter, LinkedIn, Instagram, GitHub

Data Mining. Extracting Information from Facebook, Twitter, LinkedIn, Instagram, GitHub

A

Мэтью Рассел, Михаил Классен

AI and ML
EN
Data Science and Analytics with Python. Second Edition

Data Science and Analytics with Python. Second Edition

A

Jesús Rogel-Salazar

AI and ML
EN
Data Mining for Business Analytics: Concepts, Techniques and Applications in Python

Data Mining for Business Analytics: Concepts, Techniques and Applications in Python

A

Galit Shmueli, Peter C. Bruce, Peter Gedeck, Nitin R. Patel

AI and ML
EN
Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python

Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python

A

Paul Crickard

AI and ML
EN
Ultimate Data Science Programming in Python: Master data science libraries with 300+ programs, 2 projects, and EDA GUI tools

Ultimate Data Science Programming in Python: Master data science libraries with 300+ programs, 2 projects, and EDA GUI tools

A

Saurabh Chandrakar

AI and ML
EN
Machine Learning with Python for Beginners: A Step-by-Step Guide with Hands-On Projects

Machine Learning with Python for Beginners: A Step-by-Step Guide with Hands-On Projects

A

Jamie Chan

AI and ML
EN
Python Tools for Data Scientists Pocket Primer

Python Tools for Data Scientists Pocket Primer

A

Oswald Campesato

AI and ML
EN
Python 3 and Machine Learning Using ChatGPT / GPT-4

Python 3 and Machine Learning Using ChatGPT / GPT-4

A

Oswald Campesato

AI and ML
EN
Python 3 and Feature Engineering

Python 3 and Feature Engineering

A

Oswald Campesato

AI and ML
EN
Exploring Data Science with R and the Tidyverse: A Concise Introduction

Exploring Data Science with R and the Tidyverse: A Concise Introduction

A

Jerry Bonnell, Mitsunori Ogihara

AI and ML
EN
Data Science: A First Introduction

Data Science: A First Introduction

A

Tiffany Timbers, Trevor Campbell, Melissa Lee

AI and ML
EN
Graph Algorithms for Data Science: With Examples in Neo4j

Graph Algorithms for Data Science: With Examples in Neo4j

A

Tomaž Bratanič

AI and ML
EN
Tensor Decompositions for Data Science

Tensor Decompositions for Data Science

A

Grey Ballard, Tamara G. Kolda

Algorithms and theory
RU
Azure Machine Learning

Azure Machine Learning

A

Jeff Barnes

DevOps and Infrastructure
EN
The Well-Grounded Data Analyst: Solve Messy Data Problems Like a Pro

The Well-Grounded Data Analyst: Solve Messy Data Problems Like a Pro

A

David Asboth

AI and ML
EN
Beginner’s Guide to Streamlit with Python: Build Web-Based Data and Machine Learning Applications

Beginner’s Guide to Streamlit with Python: Build Web-Based Data and Machine Learning Applications

B

Sujay Raghavendra

AI and ML
EN
Applied Recommender Systems with Python: Build Recommender Systems with Deep Learning, NLP and Graph-Based Techniques

Applied Recommender Systems with Python: Build Recommender Systems with Deep Learning, NLP and Graph-Based Techniques

A

Akshay Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, V Adithya Krishnan

Algorithms and theory
RU
Social Network Analysis with Python

Social Network Analysis with Python

F

Автор не указан

AI and ML
EN
Building Machine Learning Powered Applications: Going from Idea to Product

Building Machine Learning Powered Applications: Going from Idea to Product

A

Emmanuel Ameisen

AI and ML
EN
AI Advanced Machine Learning for Finance with Python

AI Advanced Machine Learning for Finance with Python

A

Hayden Van Der Post

AI and ML
EN
Learning Pandas 2.0: A Comprehensive Guide to Data Manipulation and Analysis for Data Scientists and Machine Learning Professionals

Learning Pandas 2.0: A Comprehensive Guide to Data Manipulation and Analysis for Data Scientists and Machine Learning Professionals

A

Matthew Rosch

AI and ML
RU
Python for Data Science

Python for Data Science

A

Не указан (возможно, коллектив авторов)

AI and ML
RU
Behavioral Data Analysis with R and Python. How to Improve Business Results Based on Customer Data

Behavioral Data Analysis with R and Python. How to Improve Business Results Based on Customer Data

A

Флоран Бюиссон

Programming languages
EN
Fundamentals of Data Science with Python

Fundamentals of Data Science with Python

A

Джон М. Ши

Algorithms and theory
EN
Software Engineering for Data Scientists: From Notebooks to Scalable Systems

Software Engineering for Data Scientists: From Notebooks to Scalable Systems

A

Кэтрин Нельсон

AI and ML
EN
Minimalistic Data Processing with Python

Minimalistic Data Processing with Python

A

Марек Гаголевский

AI and ML
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