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  • Tag: machine learning

Books — machine learning

RU
The Little Learner: A Marvelous Machine Learning

The Little Learner: A Marvelous Machine Learning

A

Дэниел П. Фридман, Анураг Мендхекар

AI and ML
RU
Causal Analysis for the Bold and Honest

Causal Analysis for the Bold and Honest

A

Матеус Факур, Артем Груздев

AI and ML
RU
Smart Mobile Projects with TensorFlow. 10+ Artificial Intelligence Applications Built Using TensorFlow Mobile and TensorFlow Lite Platforms for iOS, Android, and Raspberry Pi

Smart Mobile Projects with TensorFlow. 10+ Artificial Intelligence Applications Built Using TensorFlow Mobile and TensorFlow Lite Platforms for iOS, Android, and Raspberry Pi

A

Джефф Танг

AI and ML
RU
Deep Learning with Python. The Complete Guide to Building Artificial Intelligence Applications

Deep Learning with Python. The Complete Guide to Building Artificial Intelligence Applications

B

Александр Гладков, Евгений Бурнаев

AI and ML
RU
Methods and Technologies for Big Data Processing

Methods and Technologies for Big Data Processing

A

М.М. Железнов

AI and ML
RU
Machine Learning Technologies. Educational and Methodological Guide

Machine Learning Technologies. Educational and Methodological Guide

A

П.Е. Гладилин, К.О. Боченина

AI and ML
RU
Theoretical Minimum in Computer Science. Networks, Cryptography, and Data Science

Theoretical Minimum in Computer Science. Networks, Cryptography, and Data Science

A

Владстон Феррейра Фило, Мото Пиктет

AI and ML
RU
Machine Learning for Absolute Beginners. An Introductory Course Explained in Simple Language

Machine Learning for Absolute Beginners. An Introductory Course Explained in Simple Language

A

Оливер Теобальд

AI and ML
RU
Fundamentals of Artificial Intelligence: A Non-Technical Introduction

Fundamentals of Artificial Intelligence: A Non-Technical Introduction

A

Том Таулли

AI and ML
RU
Machine Learning with Low-Code

Machine Learning with Low-Code

A

Гвендолин Стриплинг, Майкл Абель

AI and ML
RU
Deep Learning with Python. Keras, TensorFlow, and scikit-learn Libraries

Deep Learning with Python. Keras, TensorFlow, and scikit-learn Libraries

B

Дж. В. Вандер Плас

AI and ML
RU
Python Programming for Machine Learning

Python Programming for Machine Learning

B

Д. Н. Иванов

AI and ML
RU
Python Programming for Machine Learning: From Fundamentals to Building Intelligent Applications

Python Programming for Machine Learning: From Fundamentals to Building Intelligent Applications

B

Игорь Семененко

AI and ML
RU
Statistical Methods for Data Mining.PDF

Statistical Methods for Data Mining.PDF

F
Algorithms and theory
RU
Artificial Intelligence System Design

Artificial Intelligence System Design

A

С.Л. Сотник

Algorithms and theory
RU
Generative Adversarial Networks. Projects. Build next-generation generative networks using TensorFlow and Keras libraries.

Generative Adversarial Networks. Projects. Build next-generation generative networks using TensorFlow and Keras libraries.

A

Кайлаш Ахирвар

AI and ML
RU
Building Machine Learning Applications: From Idea to Product

Building Machine Learning Applications: From Idea to Product

A

Эммануэль Амейзен

AI and ML
RU
Creating a neural network

Creating a neural network

A

Тарик Рашид

AI and ML
RU
Modern Data Mining Technologies

Modern Data Mining Technologies

A

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

AI and ML
RU
Pattern recognition systems

Pattern recognition systems

A

А.В. Бобков

Algorithms and theory
RU
Artificial Intelligence Systems

Artificial Intelligence Systems

A

А. В. Остроух, Н. Е. Суркова

AI and ML
RU
Artificial Intelligence Systems. Neural Network Modeling in MATLAB. Laboratory Workshop

Artificial Intelligence Systems. Neural Network Modeling in MATLAB. Laboratory Workshop

A

П. С. Романов, И. П. Романова

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
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
Systems Tuning: Experimentation for Engineers from A/B Testing to Bayesian Optimization

Systems Tuning: Experimentation for Engineers from A/B Testing to Bayesian Optimization

B

Дэвид Свит

Algorithms and theory
RU
Data Science Interview Preparation Guide

Data Science Interview Preparation Guide

A

Ренат Алимбеков

IT management
RU
Recommendation Systems in Practice

Recommendation Systems in Practice

A

Ким Фальк

AI and ML
RU
Pattern recognition and machine learning

Pattern recognition and machine learning

A

Кристофер М. Бишоп

Algorithms and theory
RU
Development of Intelligent Systems. Introduction to Machine Learning Technology

Development of Intelligent Systems. Introduction to Machine Learning Technology

A

Джефф Хултен

AI and ML
RU
Advanced Algorithms and Data Structures

Advanced Algorithms and Data Structures

A

Марчелло Ла Рокка

Algorithms and theory
RU
Machine Learning. From Basics to Advanced Models

Machine Learning. From Basics to Advanced Models

A

Саймон Принс

AI and ML
RU
Applied Linear Algebra for Data Scientists. From Key Concepts to Applications Using Python

Applied Linear Algebra for Data Scientists. From Key Concepts to Applications Using Python

A

Майк Икс Коэн

Algorithms and theory
RU
Data Preprocessing in Python. Volume 2: Plan, Examples, and Quality Metrics

Data Preprocessing in Python. Volume 2: Plan, Examples, and Quality Metrics

A

А. В. Груздев

AI and ML
RU
Data Preprocessing in Python. Volume 1. Tools and Validation

Data Preprocessing in Python. Volume 1. Tools and Validation

A

А. В. Груздев

AI and ML
RU
Streaming Data Pipeline

Streaming Data Pipeline

F
AI and ML
RU
Stream data processing

Stream data processing

F
AI and ML
RU
Fundamentals of Artificial Intelligence with Python Examples. Self-Study Guide. 2nd Edition

Fundamentals of Artificial Intelligence with Python Examples. Self-Study Guide. 2nd Edition

A

Анатолий Постолит

AI and ML
RU
Programming with PyTorch: Building Deep Learning Applications

Programming with PyTorch: Building Deep Learning Applications

A

Ян Пойнтер (Ian Pointer)

AI and ML
RU
Fundamentals of Artificial Intelligence with Python Examples. Self-Study Guide

Fundamentals of Artificial Intelligence with Python Examples. Self-Study Guide

A

Анатолий Постолит

AI and ML
RU
Fundamentals of Artificial Intelligence

Fundamentals of Artificial Intelligence

A

Е. В. Боровская, Н. А. Давыдова

AI and ML
RU
Fundamentals of Deep Learning. Building Algorithms for Next-Generation Artificial Intelligence

Fundamentals of Deep Learning. Building Algorithms for Next-Generation Artificial Intelligence

A

Нихиль Будума, Николас Локашо

AI and ML
RU
Python Basics for Data Science

Python Basics for Data Science

A

Кеннеди Берман

AI and ML
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
AI Fundamentals

AI Fundamentals

F
AI and ML
RU
Fundamentals of Big Data.PDF

Fundamentals of Big Data.PDF

F
AI and ML
RU
Explainable AI Models in Python. AI Model. Explanations Using Python-Based Libraries, Extensions, and Frameworks.

Explainable AI Models in Python. AI Model. Explanations Using Python-Based Libraries, Extensions, and Frameworks.

A

Прадипта Мишра

AI and ML
RU
Reinforcement Learning 2014 Sutton Barto

Reinforcement Learning 2014 Sutton Barto

F
AI and ML
RU
Reinforcement Learning: An Introduction. Second Edition

Reinforcement Learning: An Introduction. Second Edition

A

Ричард С. Саттон, Эндрю Дж. Барто

AI and ML
RU
Big Data Processing with Apache Spark

Big Data Processing with Apache Spark

A

Н. А. Бутаков, М. В. Петров, Д. Насонов

AI and ML
RU
Mathematics for Data Science. Managing Data with Linear Algebra, Probability Theory, and Statistics

Mathematics for Data Science. Managing Data with Linear Algebra, Probability Theory, and Statistics

A

Томас Нилд

Algorithms and theory
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