Books — data analysis

RU
Python Programming for Machine Learning

Python Programming for Machine Learning

B

Д. Н. Иванов

AI and ML
RU
Statistical Methods for Data Mining.PDF

Statistical Methods for Data Mining.PDF

F

Леонид Мыльников

Algorithms and theory
RU
Statistics and Experimental Design for the Uninitiated: How to Stop Statistics from Lying

Statistics and Experimental Design for the Uninitiated: How to Stop Statistics from Lying

A

Майкл Х. Херцог, Грегори Фрэнсис, Аарон Кларк

Algorithms and theory
RU
Statistics Without Tricks: Methods for Critical Data Analysis and Causal Inference

Statistics Without Tricks: Methods for Critical Data Analysis and Causal Inference

A

Итан Буэно де Мескита, Энтони Фаулер

Algorithms and theory
RU
Modern Data Mining Technologies

Modern Data Mining Technologies

A

А. В. Макшанов, А. Е. Журавлев, Л. Н. Тындыкарь

AI and ML
RU
Silan D., Meisman A. Fundamentals of Data Science and Big Data: Python and Science

Silan D., Meisman A. Fundamentals of Data Science and Big Data: Python and Science

F

Д. Силен, А. Мейсман

AI and ML
RU
Python for Data Analysis. Data Processing, Visualization, and Machine Learning

Python for Data Analysis. Data Processing, Visualization, and Machine Learning

B

Уэс Маккинни

AI and ML
RU
Data Science Interview Preparation Guide

Data Science Interview Preparation Guide

A

Ренат Алимбеков

IT management
RU
Forecasting: Principles and Practice

Forecasting: Principles and Practice

A

Рон Хайндман, Джордж Атанасопулос

Programming languages
RU
Regression: Theory and Practice. With Examples in R and Stan

Regression: Theory and Practice. With Examples in R and Stan

A

Эндрю Гельман, Дженнифер Хилл, Аки Вехтари

Programming languages
RU
Google Drive. Guide to the Google Workspace: from Calendar to Sheets

Google Drive. Guide to the Google Workspace: from Calendar to Sheets

B

Ренат Шагабутдинов, Ольга Королева

Other
RU
Just Big Data

Just Big Data

A

Жукова М. В., Деменок С. Л.

AI and ML
RU
Advanced Algorithms and Data Structures

Advanced Algorithms and Data Structures

A

Марчелло Ла Рокка

Algorithms and theory
RU
Programming in F#

Programming in F#

A

Крис Смит

Programming languages
RU
Predictive Modeling in IBM SPSS Statistics, R, and Python: Decision Trees and Random Forest

Predictive Modeling in IBM SPSS Statistics, R, and Python: Decision Trees and Random Forest

A

Артем Груздев

AI and ML
RU
Tlgm: @it_boooks

Tlgm: @it_boooks

D

Не указан

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

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

A

Тревор Хасти, Роберт Тибширани, Джером Фридман

AI and ML
RU
Fundamentals of Big Data.PDF

Fundamentals of Big Data.PDF

F
AI and ML
RU
Window Functions in T-SQL

Window Functions in T-SQL

F
Databases
RU
Data Science: A Learning Course

Data Science: A Learning Course

A

Стивен С. Скиена

AI and ML
RU
Visual Statistics. Using R!

Visual Statistics. Using R!

A

А. Б. Шипунов, Е. М. Балдин, П. А. Волкова, А. И. Коробейников, С. А. Назарова, С. В. Петров, В. Г. Суфиянов

AI and ML
RU
MS Excel Methods for Solving Engineering Problems

MS Excel Methods for Solving Engineering Problems

A

Н. В. Бильфельд, М. Н. Фелькер

Other
RU
Melikov P I Learning Python Fundamentals: A Practical Course for Data Analysts

Melikov P I Learning Python Fundamentals: A Practical Course for Data Analysts

F

П. И. Меликов

Programming languages
RU
Machine Learning and TensorFlow

Machine Learning and TensorFlow

A

Нишант Шакла, Кеннет Фриклс

AI and ML
RU
Diving into Data Analytics

Diving into Data Analytics

A

Джордж Маунт

AI and ML
RU
Mathematical Packages: R

Mathematical Packages: R

D

В. А. Шишкин

Algorithms and theory
RU
Mathematics with Python

Mathematics with Python

A

С.Я. Криволапов, М.Б. Хрипунова

Algorithms and theory
RU
Data Visualization: A Complete Course for Beginners

Data Visualization: A Complete Course for Beginners

A

Тамара Манцнер

AI and ML
RU
Python and Data Analysis

Python and Data Analysis

A

Уэс Маккинли

AI and ML
RU
Bayesian Statistics: Star Wars®, LEGO®, Rubber Ducks, and More

Bayesian Statistics: Star Wars®, LEGO®, Rubber Ducks, and More

A

Уилл Курт

Algorithms and theory
RU
Kondrashov Yu N Data Analysis and Machine Learning on the MS Platform

Kondrashov Yu N Data Analysis and Machine Learning on the MS Platform

F

Ю. Н. Кондрашов

AI and ML
RU
Statistics has played a key role in scientific understanding of the world for centuries, and in the era of big data, a basic grasp of this discipline and statistical literacy become critically important. David Spiegelhalter invites you on a fascinating, technically unburdened introduction to the theory and practice of statistics.

Statistics has played a key role in scientific understanding of the world for centuries, and in the era of big data, a basic grasp of this discipline and statistical literacy become critically important. David Spiegelhalter invites you on a fascinating, technically unburdened introduction to the theory and practice of statistics.

B

Дэвид Шпигельхалтер

Algorithms and theory
RU
The Art of Programming in R. Diving into Big Data

The Art of Programming in R. Diving into Big Data

A

Норман Мэтлофф

Algorithms and theory
RU
Learning Power Query. A Visual Approach to Connecting and Transforming Data from Multiple Sources for Power BI and Excel

Learning Power Query. A Visual Approach to Connecting and Transforming Data from Multiple Sources for Power BI and Excel

A

Линда Фоукс, Уоррен Спарроу

Other
RU
R Programming Languages and Environment. Textbook

R Programming Languages and Environment. Textbook

A

А.В. Золотарюк

Programming languages
RU
Probabilistic Programming in Python: Bayesian Inference and Algorithms

Probabilistic Programming in Python: Bayesian Inference and Algorithms

A

Кэмерон Дэвидсон-Пайлон

Algorithms and theory
RU
Artificial Intelligence for Dummies

Artificial Intelligence for Dummies

A

Джон Пол Мюллер, Лука Массарон

AI and ML
RU
Greg Harvey Excel 2016 For Dummies Williams 2016

Greg Harvey Excel 2016 For Dummies Williams 2016

D

Грег Харвей

Other
RU
Graph Algorithms. Practical Implementation on Apache Spark and Neo4j Platforms

Graph Algorithms. Practical Implementation on Apache Spark and Neo4j Platforms

A

Марк Нидхем, Эми Ходлер

Algorithms and theory
RU
Python for Data Analysis. Data Processing, Visualization, and Modeling with Python

Python for Data Analysis. Data Processing, Visualization, and Modeling with Python

B

Уэс Маккинни

AI and ML
RU
Naked Statistics The Most Interesting Book About the Most Boring Science 2016

Naked Statistics The Most Interesting Book About the Most Boring Science 2016

F

Чарльз Уилан

Algorithms and theory
RU
Data Visualization with ggplot2

Data Visualization with ggplot2

F

Сергей Мастицкий

AI and ML
RU
Biometrics in MS Excel: A Study Guide

Biometrics in MS Excel: A Study Guide

A

Е. Я. Лебедько, А. М. Хохлов, Д. И. Барановский, О. М. Гетманец

Algorithms and theory
RU
Business Modeling and Data Analysis. Solving Current Problems with Microsoft Excel. 6th Edition

Business Modeling and Data Analysis. Solving Current Problems with Microsoft Excel. 6th Edition

A

Уэйн Винстон

Other
RU
Matplotlib Library

Matplotlib Library

B

Абдрахманов М.И., Devpractice Team

AI and ML
RU
Data Analysis Workshop with Python and R

Data Analysis Workshop with Python and R

A

О.А. Баюк, М.Р. Исаева, М.О. Самсонкин

AI and ML
RU
Bayesian Analysis with Python. Introduction to Statistical Modeling and Probabilistic Programming Using PyMC3 and ArviZ

Bayesian Analysis with Python. Introduction to Statistical Modeling and Probabilistic Programming Using PyMC3 and ArviZ

A

Освальдо Мартин

Algorithms and theory
RU
Bayesian Models. Bayesian Statistics in the Python Programming Language

Bayesian Models. Bayesian Statistics in the Python Programming Language

A

Аллен Б. Дауни

Algorithms and theory
RU
Analyzing Data in Microsoft Power BI. Preparing for the DA-100 Exam

Analyzing Data in Microsoft Power BI. Preparing for the DA-100 Exam

A

Даниил Маслюк

AI and ML
RU
Data Analysis in Science and Engineering. Machine Learning, Dynamical Systems and Control

Data Analysis in Science and Engineering. Machine Learning, Dynamical Systems and Control

A

Стивен Л. Брантон, Дж. Натан Куц

AI and ML
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