Книги — machine learning

RU
Python для data science

Python для data science

A

Юлий Васильев

AI и ML
EN
Python for Excel: Financial Modeling & Data Automation

Python for Excel: Financial Modeling & Data Automation

A

Hayden Van Der Post

AI и ML
EN
Python Deep Learning

Python Deep Learning

A

Ivan Vasilev

AI и ML
EN
Applied Machine Learning and AI for Engineers

Applied Machine Learning and AI for Engineers

A

Jeff Prosise

AI и ML
RU
Программируем коллективный разум

Программируем коллективный разум

A

Тоби Сегаран

AI и ML
EN
Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R

Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R

A

V Kishore Ayyadevara

AI и ML
RU
Прикладной анализ текстовых данных на Python. Машинное обучение и создание приложений обработки естественного языка

Прикладной анализ текстовых данных на Python. Машинное обучение и создание приложений обработки естественного языка

A

Бенджамин Бенгфорт, Ребекка Билбро, Тони Охеда

AI и ML
RU
Прикладное машинное обучение без учителя с использованием Python

Прикладное машинное обучение без учителя с использованием Python

A

Анкур Пател

AI и ML
RU
Практический анализ временных рядов: прогнозирование со статистикой и машинным обучением

Практический анализ временных рядов: прогнозирование со статистикой и машинным обучением

A

Эйлин Нильсен

Алгоритмы и теория
RU
Прагматичный ИИ. Машинное обучение и облачные технологии

Прагматичный ИИ. Машинное обучение и облачные технологии

A

Ной Гифт

AI и ML
EN
Practical Artificial Intelligence: Machine Learning, Bots, and Agent Solutions Using C#

Practical Artificial Intelligence: Machine Learning, Bots, and Agent Solutions Using C#

A

Arnaldo Pérez Castaño

AI и ML
EN
Practical TensorFlow.js: Deep Learning in Web App Development

Practical TensorFlow.js: Deep Learning in Web App Development

A

Juan De Dios Santos Rivera

AI и ML
EN
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python

Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python

A

Peter Bruce, Andrew Bruce, Peter Gedeck

Алгоритмы и теория
EN
Getting Started with Docker ...and AI

Getting Started with Docker ...and AI

A

Nigel Poulton

DevOps и Инфраструктура
EN
Mastering Spring AI: The Java Developer’s Guide for Large Language Models and Generative AI

Mastering Spring AI: The Java Developer’s Guide for Large Language Models and Generative AI

A

Banu Parasuraman

AI и ML
EN
Practical Guide to Applied Conformal Prediction in Python

Practical Guide to Applied Conformal Prediction in Python

A

Valery Manokhin

AI и ML
EN
Hands-On Graph Neural Networks Using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch

Hands-On Graph Neural Networks Using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch

A

Maxime Labonne

AI и ML
EN
Building a Next-Gen SOC with IBM QRadar

Building a Next-Gen SOC with IBM QRadar

A

Ashish M Kothekar

Кибербезопасность
EN
Applied Machine Learning and High-Performance Computing on AWS

Applied Machine Learning and High-Performance Computing on AWS

A

Mani Khanuja, Farooq Sabir, Shreyas Subramanian, Trenton Potgieter

DevOps и Инфраструктура
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 и ML
EN
Practical Data Privacy: Enhancing Privacy and Security in Data

Practical Data Privacy: Enhancing Privacy and Security in Data

A

Katharine Jarmul

Кибербезопасность
EN
Machine Learning for High-Risk Applications: Approaches to Responsible AI

Machine Learning for High-Risk Applications: Approaches to Responsible AI

A

Patrick Hall, James Curtis, Parul Pandey

AI и ML
EN
Fundamentals of Data Observability: Implement Trustworthy End-to-End Data Solutions

Fundamentals of Data Observability: Implement Trustworthy End-to-End Data Solutions

A

Andy Petrella

AI и ML
EN
Explainable AI for Practitioners: Designing and Implementing Explainable ML Solutions

Explainable AI for Practitioners: Designing and Implementing Explainable ML Solutions

A

Michael Munn, David Pitman

AI и ML
EN
AI-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning

AI-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning

A

Tobias Zwingmann

AI и ML
EN
AI-Assisted Programming for Web and Machine Learning: Improve your development workflow with ChatGPT and GitHub Copilot

AI-Assisted Programming for Web and Machine Learning: Improve your development workflow with ChatGPT and GitHub Copilot

A

Christoffer Noring, Anjali Jain, Marina Fernandez, Ayşe Mutlu, Ajit Jaokar

AI и ML
EN
Bayesian Optimization in Action

Bayesian Optimization in Action

A

Quan Nguyen

Алгоритмы и теория
EN
Neural Network Programming with Java

Neural Network Programming with Java

A

Fábio M. Soares, Alan M.F. Souza

AI и ML
EN
Nature-Inspired Optimization Algorithms with Java: A Look at Optimization Techniques

Nature-Inspired Optimization Algorithms with Java: A Look at Optimization Techniques

B

Shashank Jain

Алгоритмы и теория
EN
Big Data: Conceptual Analysis and Applications

Big Data: Conceptual Analysis and Applications

A

Michael Z. Zgurovsky, Yuriy P. Zaychenko

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

Mastering.Data.Analysis.with.Python

A
Языки программирования
RU
Машинное обучение с использованием Python. Сборник рецептов

Машинное обучение с использованием Python. Сборник рецептов

A

Крис Элбон

Алгоритмы и теория
RU
Машинное обучение: карманный справочник. Краткое руководство по методам структурированного машинного обучения на Python

Машинное обучение: карманный справочник. Краткое руководство по методам структурированного машинного обучения на Python

A

Мэтт Харрисон

AI и ML
EN
Large Language Models Projects: Apply and Implement Strategies for Large Language Models

Large Language Models Projects: Apply and Implement Strategies for Large Language Models

A

Pere Martra

AI и ML
EN
Distributed Machine Learning Patterns

Distributed Machine Learning Patterns

A

Yuan Tang

AI и ML
EN
Managing Datasets and Models

Managing Datasets and Models

A

Oswald Campesato

AI и 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 и ML
EN
Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics: Theories and Applications

Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics: Theories and Applications

A

Haruna Chiroma, Shafi’i M. Abdulhamid, Philippe Fournier-Viger, Nuno M. Garcia (Editors)

AI и ML
RU
Машинное обучение в структурной биологии

Машинное обучение в структурной биологии

A

Головин Андрей Викторович, Пензар Дмитрий Дмитриевич

Алгоритмы и теория
RU
Машинное обучение. Погружение в технологию

Машинное обучение. Погружение в технологию

B

Артем Демиденко

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

Python Machine Learning By Example. Fourth Edition

A

Yuxi (Hayden) Liu

AI и ML
EN
Machine Learning, Animated

Machine Learning, Animated

A

Mark Liu

AI и ML
EN
The Art of AI Product Development: Delivering Business Value

The Art of AI Product Development: Delivering Business Value

A

Dr. Janna Lipenkova

AI и ML
EN
Python for Accounting and Finance: An Integrative Approach to Using Python for Research

Python for Accounting and Finance: An Integrative Approach to Using Python for Research

A

Sunil Kumar

Языки программирования
EN
MATH FOR PROGRAMMING: Learn the Math, Write Better Code

MATH FOR PROGRAMMING: Learn the Math, Write Better Code

A

Ronald T. Kneusel

Алгоритмы и теория
EN
Optimization Algorithms: AI techniques for design, planning, and control problems

Optimization Algorithms: AI techniques for design, planning, and control problems

A

Alaa Khamis

Алгоритмы и теория
EN
Outlier Detection in Python

Outlier Detection in Python

A

Brett Kennedy

Алгоритмы и теория
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 и ML
RU
Машинное обучение для бизнеса и маркетинга

Машинное обучение для бизнеса и маркетинга

A

Илья Кацов

AI и ML
EN
Deep Learning for Finance: Creating Machine and Deep Learning Models for Trading in Python

Deep Learning for Finance: Creating Machine and Deep Learning Models for Trading in Python

A

Sofien Kaabar

AI и ML
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