• Книги
  • Тег: Машинное обучение

Книги — Машинное обучение

EN
Machine Learning Simplified: A Gentle Introduction to Supervised Learning

Machine Learning Simplified: A Gentle Introduction to Supervised Learning

A

Andrew Wolf

AI и ML
EN
Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python

Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python

A

Hariom Tatsat, Sahil Puri, Brad Lookabaugh

AI и ML
EN
Machine Learning and Data Science: Fundamentals and Applications

Machine Learning and Data Science: Fundamentals and Applications

A

Prateek Agrawal, Charu Gupta, Anand Sharma, Vishu Madaan, Nisheeth Joshi

AI и ML
EN
Java Deep Learning Essentials

Java Deep Learning Essentials

A

Yusuke Sugomori

AI и ML
EN
Introduction to Deep Learning Using R: A Step-by-Step Guide to Learning and Implementing Deep Learning Models Using R

Introduction to Deep Learning Using R: A Step-by-Step Guide to Learning and Implementing Deep Learning Models Using R

A

Taweh Beysolow II

AI и ML
EN
Intro to Python® for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud

Intro to Python® for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud

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Paul Deitel & Harvey Deitel

AI и ML
EN
Statistical Process Monitoring using Advanced Data-Driven and Deep Learning Approaches: Theory and Practical Applications

Statistical Process Monitoring using Advanced Data-Driven and Deep Learning Approaches: Theory and Practical Applications

A

Fouzi Harrou, Ying Sun, Amanda S. Hering, Muddu Madakyaru, Abdelkader Dairi

AI и ML
EN
Hands-on TinyML: Harness the power of Machine Learning on the edge devices

Hands-on TinyML: Harness the power of Machine Learning on the edge devices

A

Rohan Banerjee

AI и ML
EN
Deep Learning with Python

Deep Learning with Python

A

Франсуа Шолле

AI и ML
EN
Data Science: The Hard Parts. Techniques for Excelling at Data Science

Data Science: The Hard Parts. Techniques for Excelling at Data Science

A

Daniel Vaughan

AI и ML
EN
Approaching (Almost) Any Machine Learning Problem

Approaching (Almost) Any Machine Learning Problem

A

Abhishek Thakur

AI и ML
EN
Introduction to Python

Introduction to Python

A

James P. Meyer

Языки программирования
EN
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

A

Chip Huyen

AI и ML
EN
Data Clustering with Python: From Theory to Implementation

Data Clustering with Python: From Theory to Implementation

A

Guojun Gan

AI и ML
EN
Advanced Forecasting with Python: Mastering Modern Forecasting Techniques with Machine Learning and Cloud Tools, Second Edition

Advanced Forecasting with Python: Mastering Modern Forecasting Techniques with Machine Learning and Cloud Tools, Second Edition

A

Joos Korstanje

AI и ML
RU
Проектирование систем машинного обучения

Проектирование систем машинного обучения

A

Чип Хьюен (Chip Huyen)

AI и ML
EN
Coding with AI: Examples in Python

Coding with AI: Examples in Python

A

Jeremy C. Morgan

Языки программирования
RU
Биоинформатика с Python: книга рецептов. Современные библиотеки и приложения Python для решения реальных задач вычислительной биологии

Биоинформатика с Python: книга рецептов. Современные библиотеки и приложения Python для решения реальных задач вычислительной биологии

A

Тиаго Антао

Языки программирования
EN
Artificial Intelligence with Python. Second Edition: Your complete guide to building intelligent apps using Python 3.x and TensorFlow 2

Artificial Intelligence with Python. Second Edition: Your complete guide to building intelligent apps using Python 3.x and TensorFlow 2

A

Alberto Artasanchez, Prateek Joshi

AI и ML
EN
Architecting AI Software Systems: Crafting robust and scalable AI systems for modern software development

Architecting AI Software Systems: Crafting robust and scalable AI systems for modern software development

A

Richard D Avila, Imran Ahmad

Алгоритмы и теория
EN
Applied Text Analysis with Python: Enabling Language Aware Data Products with Machine Learning

Applied Text Analysis with Python: Enabling Language Aware Data Products with Machine Learning

A

Benjamin Bengfort, Rebecca Bilbro, Tony Ojeda

AI и ML
EN
Applied Deep Learning: Design and implement your own Neural Networks to solve real-world problems

Applied Deep Learning: Design and implement your own Neural Networks to solve real-world problems

A

Dr. Neeraj Kumar, Dr. Rajkumar Tekchandani

AI и ML
EN
Algorithmic Mathematics in Machine Learning

Algorithmic Mathematics in Machine Learning

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Bastian Bohn, Jochen Garcke, Michael Griebel

AI и ML
EN
Advanced Data Science and Analytics with Python

Advanced Data Science and Analytics with Python

A

Jesús Rogel-Salazar

AI и ML
RU
Машинное обучение с использованием Python. Сборник рецептов: Практические решения от предобработки до глубокого обучения

Машинное обучение с использованием Python. Сборник рецептов: Практические решения от предобработки до глубокого обучения

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Кайл Галлатин, Крис Элбон

AI и ML
EN
Machine Learning with Python: Theory and Applications

Machine Learning with Python: Theory and Applications

A

G. R. Liu

AI и ML
RU
Грокаем машинное обучение

Грокаем машинное обучение

A

Серрано Луис

Алгоритмы и теория
EN
Python for Computer Science and Data Science: AI, Machine Learning and Deep Learning

Python for Computer Science and Data Science: AI, Machine Learning and Deep Learning

A

Paul Deitel, Harvey Deitel

AI и ML
EN
Using Stable Diffusion with Python: Leverage Python to control and automate high-quality AI image generation using Stable Diffusion

Using Stable Diffusion with Python: Leverage Python to control and automate high-quality AI image generation using Stable Diffusion

A

Andrew Zhu (Shudong Zhu)

Языки программирования
EN
Reinforcement Learning: Theory and Python Implementation

Reinforcement Learning: Theory and Python Implementation

A

Zhiqing Xiao

AI и ML
EN
Learning Automata and Their Applications to Intelligent Systems

Learning Automata and Their Applications to Intelligent Systems

A

JunQi Zhang, MengChu Zhou

AI и ML
EN
Azure AI Fundamentals: Study Guide and Practice Questions for the Microsoft AI-900 Exam

Azure AI Fundamentals: Study Guide and Practice Questions for the Microsoft AI-900 Exam

A

David Voss

DevOps и Инфраструктура
EN
Time Series Forecasting Using Generative AI: Leveraging AI for Precision Forecasting

Time Series Forecasting Using Generative AI: Leveraging AI for Precision Forecasting

A

Banglore Vijay Kumar Vishwas, Sri Ram Macharla

AI и ML
EN
Data Without Labels: Practical Unsupervised Machine Learning

Data Without Labels: Practical Unsupervised Machine Learning

A

Vaibhav Verdhan

AI и ML
EN
Keras

Keras

A

Hayden Van Der Post

AI и ML
RU
TinyML. Книга рецептов

TinyML. Книга рецептов

A

Джан Марко Йодиче

Встраиваемые системы
EN
The Hundred-Page Machine Learning Book

The Hundred-Page Machine Learning Book

B

Andriy Burkov

AI и ML
RU
Теоретический минимум по Big Data. Всё, что нужно знать о больших данных

Теоретический минимум по Big Data. Всё, что нужно знать о больших данных

B

Ын Анналин, Су Кеннет

AI и ML
RU
System Design. Машинное обучение. Подготовка к сложному интервью

System Design. Машинное обучение. Подготовка к сложному интервью

A

Алекс Сюй, Али Аминиан

AI и ML
EN
Machine Learning for Engineers: Principles and Algorithms through Signal Processing and Information Theory

Machine Learning for Engineers: Principles and Algorithms through Signal Processing and Information Theory

A

Osvaldo Simeone

AI и ML
EN
Mastering Julia: Enhance your analytical and programming skills for data modeling and processing with Julia

Mastering Julia: Enhance your analytical and programming skills for data modeling and processing with Julia

A

Malcolm Sherrington

AI и ML
EN
Machine Learning for Causal Inference

Machine Learning for Causal Inference

A

Sheng Li, Zhixuan Chu (Editors)

AI и ML
EN
Tidy Finance with Python

Tidy Finance with Python

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Christoph Scheuch, Stefan Voigt, Patrick Weiss, Christoph Frey

AI и ML
EN
Ultimate Machine Learning with Scikit-Learn: Unleash the Power of Scikit-Learn and Python to Build Cutting-Edge Predictive Modeling Applications and Unlock Deeper Insights Into Machine Learning

Ultimate Machine Learning with Scikit-Learn: Unleash the Power of Scikit-Learn and Python to Build Cutting-Edge Predictive Modeling Applications and Unlock Deeper Insights Into Machine Learning

A

Parag Saxena

AI и ML
EN
Deep Learning with JAX

Deep Learning with JAX

A

Grigory Sapunov

AI и ML
EN
Demystifying Deep Learning: An Introduction to the Mathematics of Neural Networks

Demystifying Deep Learning: An Introduction to the Mathematics of Neural Networks

A

Douglas J. Santry

AI и ML
EN
Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI

Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI

A

Mark Ryan, Luca Massaron

AI и ML
EN
Build a Large Language Model (From Scratch)

Build a Large Language Model (From Scratch)

A

Sebastian Raschka

AI и ML
EN
Machine Learning for Emotion Analysis in Python

Machine Learning for Emotion Analysis in Python

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Allan Ramsay, Tariq Ahmad

AI и ML
EN
How Large Language Models Work

How Large Language Models Work

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Edward Raff, Drew Farris, Stella Biderman

AI и ML
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