• Books
  • Tag: machine learning

Books — machine learning

EN
Managing Machine Learning Projects: From design to deployment

Managing Machine Learning Projects: From design to deployment

A

Simon Thompson

AI and ML
EN
A Handbook of Mathematical Models with Python

A Handbook of Mathematical Models with Python

A

Dr. Ranja Sarkar

AI and ML
EN
Artificial Intelligence For Dummies, 2nd Edition

Artificial Intelligence For Dummies, 2nd Edition

A

John Paul Mueller, Luca Massaron

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

15 Math Concepts Every Data Scientist Should Know

A

David Hoyle

AI and ML
EN
Data Science For Dummies

Data Science For Dummies

A

Lillian Pierson

AI and ML
EN
Stochastic Finance with Python: Design Financial Models from Probabilistic Perspective

Stochastic Finance with Python: Design Financial Models from Probabilistic Perspective

A

Avishek Nag

Programming languages
EN
Practical Deep Learning: A Python-Based Introduction

Practical Deep Learning: A Python-Based Introduction

A

Ronald T. Kneusel

AI and ML
RU
Machine Learning with R. Expert Techniques for Predictive Analysis

Machine Learning with R. Expert Techniques for Predictive Analysis

A

Бретт Ланц

AI and ML
EN
Procedural Content Generation in Games

Procedural Content Generation in Games

A

Noor Shaker, Julian Togelius, Mark J. Nelson

AI and ML
EN
Machine Learning Interview Guide: Job-oriented questions and answers for data scientists and engineers

Machine Learning Interview Guide: Job-oriented questions and answers for data scientists and engineers

A

Rehan Guha

AI and ML
EN
Bayesian Artificial Intelligence, Second Edition

Bayesian Artificial Intelligence, Second Edition

A

Kevin B. Korb, Ann E. Nicholson

AI and ML
EN
How AI Works: From Sorcery to Science

How AI Works: From Sorcery to Science

A

Ronald T. Kneusel

AI and ML
EN
Data Mining: The Textbook

Data Mining: The Textbook

A

Charu C. Aggarwal

AI and ML
EN
Data Mining Algorithms: Explained Using R

Data Mining Algorithms: Explained Using R

A

Paweł Cichosz

AI and ML
EN
Learning Data Mining with R

Learning Data Mining with R

B

Bater Makhabel

AI and ML
EN
R Data Mining Blueprints

R Data Mining Blueprints

A

Pradeepta Mishra

AI and ML
EN
Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners

Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners

A

Jared Dean

AI and ML
EN
Data Mining for Business Analytics: Concepts, Techniques, and Applications in R

Data Mining for Business Analytics: Concepts, Techniques, and Applications in R

A

Galit Shmueli, Peter C. Bruce, Inbal Yahav, Nitin R. Patel, Kenneth C. Lichtendahl, Jr.

AI and ML
RU
Programming Computer Vision with Python

Programming Computer Vision with Python

F
WEB development
EN
AI Product Manager’s Handbook

AI Product Manager’s Handbook

A

Irene Bratsis

Other
EN
AI Essentials Guide: Principles for Navigating the Next Tech Renaissance

AI Essentials Guide: Principles for Navigating the Next Tech Renaissance

A

William Hawkins

AI and 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 and ML
EN
Python Machine Learning Second Edition

Python Machine Learning Second Edition

A

Sebastian Raschka, Vahid Mirjalili

AI and ML
EN
Python: Deeper Insights into Machine Learning

Python: Deeper Insights into Machine Learning

A

Sebastian Raschka, David Julian, John Hearty

AI and ML
EN
Designing Large Language Model Applications

Designing Large Language Model Applications

A

Suhas Pai

AI and ML
EN
Mastering OpenCV with Python: Use NumPy, Scikit, TensorFlow, and Matplotlib to learn Advanced algorithms for Machine Learning through a set of Practical Projects

Mastering OpenCV with Python: Use NumPy, Scikit, TensorFlow, and Matplotlib to learn Advanced algorithms for Machine Learning through a set of Practical Projects

A

Ayush Vaishya

AI and ML
EN
AI-Driven Software Testing: Transforming Software Testing with Artificial Intelligence and Machine Learning

AI-Driven Software Testing: Transforming Software Testing with Artificial Intelligence and Machine Learning

A

Srinivasa Rao Bittla

Software Development
RU
Abhishek Mishra - Scalable AI and Design Patterns - 2024

Abhishek Mishra - Scalable AI and Design Patterns - 2024

F
WEB development
EN
Mastering Machine Learning Algorithms Second Edition

Mastering Machine Learning Algorithms Second Edition

A

Giuseppe Bonaccorso

AI and ML
EN
Machine Learning Production Systems: Engineering Machine Learning Models and Pipelines

Machine Learning Production Systems: Engineering Machine Learning Models and Pipelines

A

Robert Crowe, Hannes Hapke, Emily Caveness, Di Zhu

AI and ML
EN
Machine Learning Infrastructure and Best Practices for Software Engineers

Machine Learning Infrastructure and Best Practices for Software Engineers

A

Miroslaw Staron

AI and ML
RU
Nguyen K. - Bayesian Optimization with Examples from Python Libraries - 2024

Nguyen K. - Bayesian Optimization with Examples from Python Libraries - 2024

D
WEB development
EN
Network Science with Python

Network Science with Python

A

David Knickerbocker

AI and ML
EN
The Art of Randomness: Randomized Algorithms in the Real World

The Art of Randomness: Randomized Algorithms in the Real World

A

Ronald T. Kneusel

Algorithms and theory
EN
Data Pipelines with Apache Airflow: Orchestration for Data and AI, Second Edition

Data Pipelines with Apache Airflow: Orchestration for Data and AI, Second Edition

A

Julian de Ruiter, Ismael Cabral, Kris Geusebroek, Daniel van der Ende, Bas Harenslak

AI and 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 and ML
EN
Introduction to Machine Learning with Python: A Guide for Data Scientists

Introduction to Machine Learning with Python: A Guide for Data Scientists

A

Andreas C. Müller and Sarah Guido

AI and ML
EN
Machine Learning and Generative AI for Marketing

Machine Learning and Generative AI for Marketing

A

Yoon Hyup Hwang, Nicholas C. Burtch

AI and ML
EN
Magical Haskell: A Friendly Approach to Modern Functional Programming, Type Theory, and Artificial Intelligence

Magical Haskell: A Friendly Approach to Modern Functional Programming, Type Theory, and Artificial Intelligence

A

Anton Antich

Programming languages
RU
Python for Machine Learning

Python for Machine Learning

A

Неизвестен

AI and ML
EN
Haskell Data Analysis Cookbook

Haskell Data Analysis Cookbook

A

Nishant Shukla

Programming languages
EN
Data Science from Scratch: First Principles with Python, Second Edition

Data Science from Scratch: First Principles with Python, Second Edition

A

Joel Grus

AI and ML
RU
Joel Grus - Data Science from Scratch - 2017

Joel Grus - Data Science from Scratch - 2017

F
WEB development
EN
Data Science from Scratch

Data Science from Scratch

A

Joel Grus

AI and ML
EN
Conversational AI: Chatbots That Work

Conversational AI: Chatbots That Work

A

Andrew R. Freed

AI and ML
RU
Machine Learning

Machine Learning

A

Хенрик Бринк, Джозеф Ричардс, Марк Феверолф

AI and ML
EN
Azure AI Fundamentals (AI-900) Study Guide: In-Depth Exam Prep and Practice

Azure AI Fundamentals (AI-900) Study Guide: In-Depth Exam Prep and Practice

A

Tom Taulli

DevOps and Infrastructure
EN
Introducing .NET for Apache Spark: Distributed Processing for Massive Datasets

Introducing .NET for Apache Spark: Distributed Processing for Massive Datasets

A

Ed Elliott

Programming languages
RU
Immortal I. - Artificial Intelligence Systems (Professional Education) - 2019

Immortal I. - Artificial Intelligence Systems (Professional Education) - 2019

D
WEB development
EN
Computer Science from Scratch: Building Interpreters, Emulators, and ML in Python

Computer Science from Scratch: Building Interpreters, Emulators, and ML in Python

A

David Kopec

AI and ML
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