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  • Tag: machine learning

Books — machine learning

RU
120 Practical Tasks

120 Practical Tasks

A

Джейд Картер

Programming languages
RU
Neural Networks. Audio Data Processing

Neural Networks. Audio Data Processing

A

Джейд Картер

AI and ML
RU
Deep Learning for Dummies

Deep Learning for Dummies

A

Джон Пол Мюллер, Лука Массарон

AI and ML
RU
Causal Analysis in Data Science

Causal Analysis in Data Science

A

Алекс Руис де Вилья Роберт

AI and ML
RU
Deep Learning: Principles and Concepts

Deep Learning: Principles and Concepts

A

Кристофер М. Бишоп, Хью Бишоп

AI and ML
RU
System Design. Preparing for a Complex GenAI Interview

System Design. Preparing for a Complex GenAI Interview

A

Аминиан Али, Шенг Хао

Software Development
EN
Python GPT Cookbook: 75+ practical recipes for building NLP solutions for the real world

Python GPT Cookbook: 75+ practical recipes for building NLP solutions for the real world

A

Dr. Neil Williams

AI and ML
EN
Automated Forex Trading Systems with ChatGPT: Learn, Improve, and Enjoy Forex Trading with Your AI Companion

Automated Forex Trading Systems with ChatGPT: Learn, Improve, and Enjoy Forex Trading with Your AI Companion

A

Paul Wealth

AI and ML
EN
NoOps: How AI Agents Are Reinventing DevOps and Software

NoOps: How AI Agents Are Reinventing DevOps and Software

A

Roman Vorel

AI and ML
EN
Introduction to Deep Learning Business Applications for Developers: From Conversational Bots in Customer Service to Medical Image Processing

Introduction to Deep Learning Business Applications for Developers: From Conversational Bots in Customer Service to Medical Image Processing

A

Armando Vieira, Bernardete Ribeiro

AI and ML
EN
Machine Learning Theory and Applications: Hands-on Use Cases with Python on Classical and Quantum Machines

Machine Learning Theory and Applications: Hands-on Use Cases with Python on Classical and Quantum Machines

A

Xavier Vasques

AI and ML
EN
Practical Natural Language Processing: A Comprehensive Guide to Building Real-World NLP Systems

Practical Natural Language Processing: A Comprehensive Guide to Building Real-World NLP Systems

A

Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, Harshit Surana

AI and ML
EN
Building LLMs with PyTorch: A step-by-step guide to building advanced AI models with PyTorch

Building LLMs with PyTorch: A step-by-step guide to building advanced AI models with PyTorch

A

Anand Trivedi

AI and ML
EN
Architecting Data and Machine Learning Platforms: Enable Analytics and AI-Driven Innovation in the Cloud

Architecting Data and Machine Learning Platforms: Enable Analytics and AI-Driven Innovation in the Cloud

A

Marco Tranquillin, Valliappa Lakshmanan, Firat Tekiner

AI and ML
EN
Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python

Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python

A

Pramod Singh, Avinash Manure

AI and ML
EN
Data Wrangling on AWS: Clean and organize complex data for analysis

Data Wrangling on AWS: Clean and organize complex data for analysis

A

Navnit Shukla, Sankar M, Sam Palani

AI and ML
EN
The Pragmatic Programmer for Machine Learning: Engineering Analytics and Data Science Solutions

The Pragmatic Programmer for Machine Learning: Engineering Analytics and Data Science Solutions

A

Marco Scutari, Mauro Malvestio

AI and ML
EN
Hands-On Generative AI with Transformers and Diffusion Models

Hands-On Generative AI with Transformers and Diffusion Models

A

Omar Sanseviero, Pedro Cuenca, Apolinário Passos, Jonathan Whitaker

AI and ML
EN
TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning

TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning

A

Bharath Ramsundar, Reza Bosagh Zadeh

AI and ML
EN
3D Data Science with Python: Building Accurate Digital Environments with 3D Point Cloud Workflows

3D Data Science with Python: Building Accurate Digital Environments with 3D Point Cloud Workflows

A

Florent Poux

AI and ML
EN
Machine Learning in Production: Master the art of delivering robust Machine Learning solutions with MLOps

Machine Learning in Production: Master the art of delivering robust Machine Learning solutions with MLOps

A

Suhas Pote

AI and ML
EN
Time Series Forecasting Using Foundation Models

Time Series Forecasting Using Foundation Models

A

Marco Peixeiro

AI and ML
EN
Serverless Machine Learning with Amazon Redshift ML: Create, train, and deploy machine learning models using familiar SQL commands

Serverless Machine Learning with Amazon Redshift ML: Create, train, and deploy machine learning models using familiar SQL commands

A

Debu Panda, Phil Bates, Bhanu Pittampally, Sumeet Joshi

Databases
EN
Artificial Intelligence For Dummies, 3rd Edition

Artificial Intelligence For Dummies, 3rd Edition

A

John Paul Mueller, Luca Massaron, Stephanie Diamond

AI and ML
EN
AI and ML for Coders in PyTorch: A Coder’s Guide to Generative AI and Machine Learning

AI and ML for Coders in PyTorch: A Coder’s Guide to Generative AI and Machine Learning

A

Laurence Moroney

AI and ML
EN
Natural Language Processing: A Textbook with Python Implementation

Natural Language Processing: A Textbook with Python Implementation

A

Raymond S. T. Lee

AI and ML
EN
Hands-On Machine Learning with C++: Build, train, and deploy end-to-end machine learning and deep learning pipelines

Hands-On Machine Learning with C++: Build, train, and deploy end-to-end machine learning and deep learning pipelines

A

Kirill Kolodiazhnyi

AI and ML
EN
Transformers in Action

Transformers in Action

A

Nicole Koenigstein

AI and ML
EN
Statistics with Rust: 50+ Statistical Techniques Put into Action

Statistics with Rust: 50+ Statistical Techniques Put into Action

A

Keiko Nakamura

Programming languages
EN
Practical Machine Learning with Rust: Creating Intelligent Applications in Rust

Practical Machine Learning with Rust: Creating Intelligent Applications in Rust

A

Joydeep Bhattacharjee

AI and ML
EN
Modern Time Series Forecasting with Python. Second Edition

Modern Time Series Forecasting with Python. Second Edition

A

Manu Joseph, Jeffrey Tackes

AI and ML
EN
Grokking AI Algorithms, Second Edition: How AI solves complex problems

Grokking AI Algorithms, Second Edition: How AI solves complex problems

A

Rishal Hurbans

AI and ML
EN
Deep Learning with PyTorch, Second Edition: Training and Applying Deep Learning and Generative AI Models

Deep Learning with PyTorch, Second Edition: Training and Applying Deep Learning and Generative AI Models

A

Howard Huang, Eli Stevens, Luca Antiga, Thomas Viehmann

AI and ML
EN
Applied Machine Learning: Using Machine Learning to Solve Business Problems

Applied Machine Learning: Using Machine Learning to Solve Business Problems

A

Jason Hodson

AI and ML
EN
Intermediate Python and Large Language Models

Intermediate Python and Large Language Models

A

Dilyan Grigorov

AI and ML
EN
PyTorch: The Practical Guide

PyTorch: The Practical Guide

A

Bert Gollnick

AI and ML
EN
Deep Learning: A Visual Approach

Deep Learning: A Visual Approach

A

Andrew Glassner

AI and ML
EN
Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

A

Aurélien Géron

AI and ML
EN
Explainable AI with Python, Second Edition

Explainable AI with Python, Second Edition

A

Antonio Di Cecco, Leonida Gianfagna

AI and ML
EN
Introduction to Generative AI: Reliable, responsible, and real-world applications

Introduction to Generative AI: Reliable, responsible, and real-world applications

A

Numa Dhamani, Maggie Engler

AI and ML
EN
Math and Architectures of Deep Learning

Math and Architectures of Deep Learning

A

Krishnendu Chaudhury, Ananya H. Ashok, Sujay Narumanchi, Devashish Shankar

AI and ML
RU
Autobiography of a Neural Network. The Artificial Intelligence That Learned to Communicate

Autobiography of a Neural Network. The Artificial Intelligence That Learned to Communicate

C

М.Р. Брослав, О.А. Яблокова

Algorithms and theory
EN
Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control

Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control

A

Steven L. Brunton, J. Nathan Kutz

AI and ML
EN
Prompt Engineering for LLMs: The Art and Science of Building Large Language Model–Based Applications

Prompt Engineering for LLMs: The Art and Science of Building Large Language Model–Based Applications

A

John Berryman, Albert Ziegler

AI and ML
EN
Machine Learning System Design: With End-to-End Examples

Machine Learning System Design: With End-to-End Examples

A

Valerii Babushkin, Arseny Kravchenko

AI and ML
EN
Generative AI for Web Development: Building Web Applications Powered by OpenAI APIs and Next.js

Generative AI for Web Development: Building Web Applications Powered by OpenAI APIs and Next.js

A

Tom Auger, Emma Saroyan

WEB development
EN
Building Applications with AI Agents: Designing and Implementing Multiagent Systems

Building Applications with AI Agents: Designing and Implementing Multiagent Systems

A

Michael Albada

AI and ML
RU
Deep Learning with Python. Keras, TensorFlow, PyTorch

Deep Learning with Python. Keras, TensorFlow, PyTorch

B

Антонио Гулли, Амит Капур

AI and ML
EN
Hands-On Machine Learning with Scikit-Learn and PyTorch: Concepts, Tools, and Techniques to Build Intelligent Systems

Hands-On Machine Learning with Scikit-Learn and PyTorch: Concepts, Tools, and Techniques to Build Intelligent Systems

A

Aurélien Géron

AI and ML
RU
Python Programming for Machine Learning and Data Analysis

Python Programming for Machine Learning and Data Analysis

A

Игорь Семенов

AI and ML
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