Книги / тег / Машинное обучение

Книги по тегу #Машинное обучение

всего · 50
EN
OpenAI GPT For Python Developers

OpenAI GPT For Python Developers

A

Aymen El Amri

Языки программирования
EN
Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and Visualization

Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and Visualization

A

Matt Wiley, Joshua F. Wiley

AI и ML
EN
Haskell Data Analysis Cookbook

Haskell Data Analysis Cookbook

A

Nishant Shukla

Языки программирования
EN
Essential Math for AI: Next-Level Mathematics for Efficient and Successful AI Systems

Essential Math for AI: Next-Level Mathematics for Efficient and Successful AI Systems

A

Hala Nelson

AI и ML
EN
Extracting Intelligence from RSS News Feeds Using Python and AI: From Global Headlines to Actionable Intelligence

Extracting Intelligence from RSS News Feeds Using Python and AI: From Global Headlines to Actionable Intelligence

A

Chet Hosmer

Языки программирования
EN
Mastering Machine Learning Algorithms Second Edition

Mastering Machine Learning Algorithms Second Edition

A

Giuseppe Bonaccorso

AI и ML
EN
Applied Natural Language Processing with PyTorch 2.0

Applied Natural Language Processing with PyTorch 2.0

A

Dr. Deepti Chopra

AI и ML
EN
Accelerate Model Training with PyTorch 2.X

Accelerate Model Training with PyTorch 2.X

A

Maicon Melo Alves

AI и ML
RU
Алгоритмы искусственного интеллекта на языке PROLOG

Алгоритмы искусственного интеллекта на языке PROLOG

B

Иван Братко

Алгоритмы и теория
EN
Machine Learning for OpenCV

Machine Learning for OpenCV

A

Michael Beyeler

AI и ML
EN
Instant OpenCV Starter

Instant OpenCV Starter

A

Jayneil Dalal, Sohil Patel

AI и ML
EN
Conversational Artificial Intelligence

Conversational Artificial Intelligence

A

Romil Rawat, Rajesh Kumar Chakrawarti, Sanjaya Kumar Sarangi, Piyush Vyas, Mary Sowjanya Alamanda, Kotagiri Srividya, Krishnan Sakthidasan Sankaran

AI и ML
EN
Coding with AI For Dummies

Coding with AI For Dummies

A

Chris Minnick

AI и ML
RU
Машинное обучение на табличных данных: XGBoost, глубокое обучение и ИИ

Машинное обучение на табличных данных: XGBoost, глубокое обучение и ИИ

A

Марк Райан, Лука Массарон

AI и ML
EN
A Handbook of Mathematical Models with Python

A Handbook of Mathematical Models with Python

A

Dr. Ranja Sarkar

Языки программирования
EN
Artificial Intelligence For Dummies, 2nd Edition

Artificial Intelligence For Dummies, 2nd Edition

A

John Paul Mueller, Luca Massaron

AI и ML
EN
15 Math Concepts Every Data Scientist Should Know

15 Math Concepts Every Data Scientist Should Know

A

David Hoyle

AI и ML
EN
50 Days of Data Analysis with Python: The Ultimate Challenges Book for Beginners

50 Days of Data Analysis with Python: The Ultimate Challenges Book for Beginners

B

Benjamin Bennett Alexander

Языки программирования
RU
Машинное обучение

Машинное обучение

A

Хенрик Бринк, Джозеф Ричардс, Марк Феверолф

AI и ML
EN
Data Science Programming All-in-One For Dummies

Data Science Programming All-in-One For Dummies

A

John Paul Mueller, Luca Massaron

AI и ML
RU
Машинное обучение на R. Экспертные техники для прогностического анализа

Машинное обучение на R. Экспертные техники для прогностического анализа

A

Бретт Ланц

AI и ML
RU
Python для машинного обучения

Python для машинного обучения

A

Не указан

AI и ML
EN
Fault Detection in Microservice Architectures: Integrating Software Fault Prediction with DevSecOps

Fault Detection in Microservice Architectures: Integrating Software Fault Prediction with DevSecOps

A

Deepak Sharma, Aamiruddin Syed

IT-менеджмент
EN
How AI Works: From Sorcery to Science

How AI Works: From Sorcery to Science

A

Ronald T. Kneusel

AI и ML
EN
Python Machine Learning Second Edition

Python Machine Learning Second Edition

A

Sebastian Raschka, Vahid Mirjalili

AI и ML
EN
Python: Deeper Insights into Machine Learning

Python: Deeper Insights into Machine Learning

A

Sebastian Raschka, David Julian, John Hearty

AI и ML
EN
Machine Learning with PyTorch and Scikit-Learn

Machine Learning with PyTorch and Scikit-Learn

A

Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili

AI и ML
EN
Data Science from Scratch

Data Science from Scratch

A

Joel Grus

AI и ML
EN
Hands-On RAG for Production: Design, Develop, and Deploy Production-Ready RAG Applications

Hands-On RAG for Production: Design, Develop, and Deploy Production-Ready RAG Applications

A

Ofer Mendelevitch, Forrest Sheng Bao

AI и ML
EN
An Introduction to Statistical Learning with Applications in R

An Introduction to Statistical Learning with Applications in R

A

Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani

AI и ML
EN
Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python

Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python

A

Mike X Cohen

AI и ML
EN
The Practical Guide to Large Language Models: Hands-On AI Applications with Hugging Face Transformers

The Practical Guide to Large Language Models: Hands-On AI Applications with Hugging Face Transformers

A

Ivan Gridin

AI и ML
EN
Conversational AI: Chatbots That Work

Conversational AI: Chatbots That Work

A

Andrew R. Freed

AI и ML
RU
Интерпретируемое машинное обучение на Python

Интерпретируемое машинное обучение на Python

A

Масис С.

AI и ML
EN
Deep Learning: Foundations and Concepts

Deep Learning: Foundations and Concepts

A

Christopher M. Bishop, Hugh Bishop

AI и ML
RU
Современное прогнозирование временных рядов

Современное прогнозирование временных рядов

A

Валерий Манохин

AI и ML
RU
Автобиография нейросети

Автобиография нейросети

C

Нейросеть (сост. М.Р. Брослав, О.А. Яблоков)

AI и ML
RU
Интервью по машинному обучению. 151 вопрос от FAANG

Интервью по машинному обучению. 151 вопрос от FAANG

A

Пенг Шао

AI и ML
EN
Machine Learning and Generative AI for Marketing

Machine Learning and Generative AI for Marketing

A

Yoon Hyup Hwang, Nicholas C. Burtch

AI и ML
EN
Building Large Language Models from Scratch: Design, Train, and Deploy LLMs with PyTorch

Building Large Language Models from Scratch: Design, Train, and Deploy LLMs with PyTorch

A

Dilyan Grigorov

AI и ML
EN
Hybrid Imaging and Visualization: Employing Machine Learning with Mathematica - Python

Hybrid Imaging and Visualization: Employing Machine Learning with Mathematica - Python

B

Joseph Awange, Béla Paláncz, Lajos Völgyesi

AI и ML
EN
Introduction to Machine Learning with Security: Theory and Practice Using Python in the Cloud

Introduction to Machine Learning with Security: Theory and Practice Using Python in the Cloud

A

Pramod Gupta, Naresh Kumar Sehgal, John M. Acken

AI и ML
EN
Practical Neural Networks in Python and MATLAB

Practical Neural Networks in Python and MATLAB

A

Chunwei Zhang, Tianpeng Li, Ying Dai, Li Sun, Ardashir Mohammadzadeh

AI и ML
RU
Вероятностное машинное обучение. Дополнительные темы: предсказание, порождение, обнаружение, действие

Вероятностное машинное обучение. Дополнительные темы: предсказание, порождение, обнаружение, действие

A

Кэвин П. Мэрфи

AI и ML
EN
Multivariate Analysis and Machine Learning Techniques: Feature Analysis in Data Science Using Python

Multivariate Analysis and Machine Learning Techniques: Feature Analysis in Data Science Using Python

A

Srikrishnan Sundararajan

AI и ML
EN
Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for Python, Fifth Edition

Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for Python, Fifth Edition

A

Morton John Canty

Алгоритмы и теория
EN
Python for Natural Language Processing: Programming with NumPy, scikit-learn, Keras, and PyTorch

Python for Natural Language Processing: Programming with NumPy, scikit-learn, Keras, and PyTorch

A

Pierre M. Nugues

AI и ML
EN
Grokking Deep Learning

Grokking Deep Learning

A

Andrew W. Trask

AI и ML
EN
Data Science For Dummies, 3rd Edition

Data Science For Dummies, 3rd Edition

A

Lillian Pierson

AI и ML
EN
Grokking Machine Learning

Grokking Machine Learning

A

Luis G. Serrano

AI и ML
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