Книги / тег / Машинное обучение

Книги по тегу #Машинное обучение

всего · 50
EN
Fundamentals of Data Science: Theory and Practice

Fundamentals of Data Science: Theory and Practice

A

Jugal K. Kalita, Dhruba K. Bhattacharyya, Swarup Roy

AI и ML
EN
Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications, Second Edition

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications, Second Edition

A

Laura Igual, Santi Seguí

AI и ML
EN
Data Science Solutions on Azure: The Rise of Generative AI and Applied AI, Second Edition

Data Science Solutions on Azure: The Rise of Generative AI and Applied AI, Second Edition

A

Julian Soh, Priyanshi Singh

AI и ML
RU
Апгрейд машинного обучения: руководство по MLOps, LLMs и инфраструктуре ML для дата-сайентистов

Апгрейд машинного обучения: руководство по MLOps, LLMs и инфраструктуре ML для дата-сайентистов

A

Кристен Керер, Калеб Кайзер

AI и ML
EN
Essential Data Analytics, Data Science, and AI: A Practical Guide for a Data-Driven World

Essential Data Analytics, Data Science, and AI: A Practical Guide for a Data-Driven World

A

Maxine Attobrah

AI и ML
EN
Advanced Data Analytics Using Python: With Machine Learning, Deep Learning and NLP Examples

Advanced Data Analytics Using Python: With Machine Learning, Deep Learning and NLP Examples

A

Sayan Mukhopadhyay

AI и ML
EN
Data Science Essentials For Dummies

Data Science Essentials For Dummies

A

Lillian Pierson, PE

AI и ML
EN
Grokking Statistics: A friendly guide for beginners

Grokking Statistics: A friendly guide for beginners

A

Thomas Nield

Кибербезопасность
RU
Искусственный интеллект и машинное обучение для программистов в PyTorch

Искусственный интеллект и машинное обучение для программистов в PyTorch

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Лоуренс Морони

AI и ML
EN
Advanced Platform Development with Kubernetes: Enabling Data Management, the Internet of Things, Blockchain, and Machine Learning

Advanced Platform Development with Kubernetes: Enabling Data Management, the Internet of Things, Blockchain, and Machine Learning

A

Craig Johnston

DevOps и Инфраструктура
EN
Machine Learning Interviews: Kickstart Your Machine Learning and Data Career

Machine Learning Interviews: Kickstart Your Machine Learning and Data Career

A

Susan Shu Chang

AI и ML
EN
Algorithms for Data Science

Algorithms for Data Science

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Brian Steele, John Chandler, Swarna Reddy

AI и ML
RU
Изучаем Spark: молниеносный анализ данных

Изучаем Spark: молниеносный анализ данных

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Холден Карау, Энди Конвински, Патрик Венделл, Матей Захария

AI и ML
RU
Паттерны проектирования агентных и многоагентных систем

Паттерны проектирования агентных и многоагентных систем

A

Душкин Р. В.

IT-менеджмент
EN
Big Data Management and Analytics

Big Data Management and Analytics

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Brij B. Gupta, Mamta

AI и ML
RU
Грокаем алгоритмы искусственного интеллекта. 2-е издание

Грокаем алгоритмы искусственного интеллекта. 2-е издание

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Ришал Харбанс

Алгоритмы и теория
EN
Statistics for Machine Learning

Statistics for Machine Learning

A

Pratap Dangeti

AI и ML
EN
Graph-Powered Analytics and Machine Learning with TigerGraph: Driving Business Outcomes with Connected Data

Graph-Powered Analytics and Machine Learning with TigerGraph: Driving Business Outcomes with Connected Data

A

Victor Lee, Phuc Kien Nguyen, Alexander Thomas

AI и ML
EN
Machine Learning in Python for Dynamic Process Systems: A practitioner’s guide for building process modeling, predictive, and monitoring solutions using dynamic data

Machine Learning in Python for Dynamic Process Systems: A practitioner’s guide for building process modeling, predictive, and monitoring solutions using dynamic data

A

Ankur Kumar, Jesus Flores-Cerrillo

DevOps и Инфраструктура
EN
Distributed Machine Learning with PySpark: Migrating Effortlessly from Pandas and Scikit-Learn

Distributed Machine Learning with PySpark: Migrating Effortlessly from Pandas and Scikit-Learn

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Abdelaziz Testas

AI и ML
RU
Машинное обучение на основе задач математического программирования

Машинное обучение на основе задач математического программирования

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П.Ф. Чернавин, Д.Н. Гайнанов, В.Н. Панкращенко, Ф.П. Чернавин, Н.П. Чернавин

AI и ML
EN
Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library

Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library

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Adrian Kaehler, Gary Bradski

AI и ML
EN
Bioinformatics with R Cookbook

Bioinformatics with R Cookbook

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Paurush Praveen Sinha

Языки программирования
EN
Machine Learning with R

Machine Learning with R

A

Abhijit Ghatak

AI и ML
EN
Mastering Predictive Analytics with R, Second Edition

Mastering Predictive Analytics with R, Second Edition

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James D. Miller, Rui Miguel Forte

AI и ML
EN
AI-Powered Search

AI-Powered Search

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Trey Grainger, Doug Turnbull, Max Irwin

AI и ML
EN
Dive Into Data Science: Use Python to Tackle Your Toughest Business Challenges

Dive Into Data Science: Use Python to Tackle Your Toughest Business Challenges

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Bradford Tuckfield

AI и ML
EN
R Data Mining Blueprints

R Data Mining Blueprints

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Pradeepta Mishra

AI и ML
EN
Mastering Text Mining with R

Mastering Text Mining with R

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Ashish Kumar, Avinash Paul

AI и ML
EN
Machine Learning With Go, Second Edition: Leverage Go's powerful packages to build smart machine learning and predictive applications

Machine Learning With Go, Second Edition: Leverage Go's powerful packages to build smart machine learning and predictive applications

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Daniel Whitenack, Janani Selvaraj

AI и ML
EN
Data Mining For Dummies

Data Mining For Dummies

A

Meta S. Brown

AI и ML
EN
Learning Data Mining with Python

Learning Data Mining with Python

A

Robert Layton

AI и ML
EN
Data Mining: The Textbook

Data Mining: The Textbook

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Charu C. Aggarwal

AI и ML
EN
Mining of Massive Datasets

Mining of Massive Datasets

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Jure Leskovec, Anand Rajaraman, Jeffrey D. Ullman

AI и ML
EN
Generative AI: Navigating the Course to the Artificial General Intelligence Future

Generative AI: Navigating the Course to the Artificial General Intelligence Future

A

Martin Musiol

AI и ML
EN
Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

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Kyle Gallatin, Chris Albon

AI и ML
RU
DeepSeek на практике

DeepSeek на практике

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Мэн Цзянь, Яо Лусин

Другое
EN
Decoding Large Language Models

Decoding Large Language Models

A

Irena Cronin

AI и ML
EN
Grokking Artificial Intelligence Algorithms

Grokking Artificial Intelligence Algorithms

A

Rishal Hurbans

Алгоритмы и теория
EN
Natural Language Processing on Oracle Cloud Infrastructure: Building Transformer-Based NLP Solutions Using Oracle AI and Hugging Face

Natural Language Processing on Oracle Cloud Infrastructure: Building Transformer-Based NLP Solutions Using Oracle AI and Hugging Face

A

Hicham Assoudi

Базы данных
EN
Privacy-Preserving Machine Learning

Privacy-Preserving Machine Learning

A

J. Morris Chang, Di Zhuang, Dumindu Samaraweera

AI и ML
EN
Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence

Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence

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Jon Krohn, Grant Beyleveld, Aglaé Bassens

AI и ML
RU
Машинное обучение с помощью Python для всех

Машинное обучение с помощью Python для всех

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Андреас Мюллер, Сара Гвидо

AI и ML
EN
Data Science from Scratch: First Principles with Python

Data Science from Scratch: First Principles with Python

A

Joel Grus

AI и ML
RU
Машинное обучение для приложений высокого риска

Машинное обучение для приложений высокого риска

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Патрик Холл, Джеймс Кертис, Парул Панди

AI и ML
RU
Машинное обучение для алгоритмической торговли на финансовых рынках. Практикум

Машинное обучение для алгоритмической торговли на финансовых рынках. Практикум

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Стефан Янсен

AI и ML
RU
Глубокое обучение с JAX

Глубокое обучение с JAX

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Григорий Сапунов

AI и ML
EN
Artificial Intelligence and Machine Learning Techniques in Image Processing and Computer Vision

Artificial Intelligence and Machine Learning Techniques in Image Processing and Computer Vision

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Karm Veer Arya, Ciro Rodriguez Rodriguez, Saurabh Singh, Abhishek Singhal

AI и ML
EN
Natural Language Processing with Python

Natural Language Processing with Python

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Steven Bird, Ewan Klein, Edward Loper

AI и ML
RU
Python для профи: интерпретаторы, эмуляторы, графика и машинное обучение

Python для профи: интерпретаторы, эмуляторы, графика и машинное обучение

A

Дэвид Копек

AI и ML
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