• Books
  • Tag: machine learning

Books — machine learning

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

Algorithms and theory
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

Embedded systems
EN
Domain-Specific Languages in R: Advanced Statistical Programming

Domain-Specific Languages in R: Advanced Statistical Programming

A

Thomas Mailund

Programming languages
EN
Deep Learning with Python

Deep Learning with Python

A

Франсуа Шолле

AI and 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 and ML
EN
Data Wrangling with SQL: A hands-on guide to manipulating, wrangling, and engineering data using SQL

Data Wrangling with SQL: A hands-on guide to manipulating, wrangling, and engineering data using SQL

A

Raghav Kandarpa, Shivangi Saxena

AI and ML
EN
Data Science and Machine Learning Interview Questions using Python: A Complete Question Bank to Crack Your Interview

Data Science and Machine Learning Interview Questions using Python: A Complete Question Bank to Crack Your Interview

A

Vishwanathan Narayanan

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

Approaching (Almost) Any Machine Learning Problem

A

Abhishek Thakur

AI and ML
EN
Introduction to Python

Introduction to Python

A

James P. Meyer

Programming languages
EN
NumPy for Beginners: Your First Steps in Data Science with Python

NumPy for Beginners: Your First Steps in Data Science with Python

B

AI Publishing

AI and ML
EN
Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics

Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics

A

Thomas Nield

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

Data Clustering with Python: From Theory to Implementation

A

Guojun Gan

AI and ML
RU
Reinforcement Learning Algorithms in Python. Description and Development of Artificial Intelligence Algorithms

Reinforcement Learning Algorithms in Python. Description and Development of Artificial Intelligence Algorithms

A

Андреа Лонца

AI and 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 and ML
EN
Classic Computer Science Problems in Python

Classic Computer Science Problems in Python

A

David Kopec

Algorithms and theory
RU
ChatGPT and Bard for Business Automation

ChatGPT and Bard for Business Automation

A
AI and ML
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 and 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

AI and ML
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 and 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 and ML
EN
Algorithmic Mathematics in Machine Learning

Algorithmic Mathematics in Machine Learning

A

Bastian Bohn, Jochen Garcke, Michael Griebel

AI and ML
EN
Advancing into Analytics: From Excel to Python and R

Advancing into Analytics: From Excel to Python and R

A

George Mount

AI and ML
EN
Advanced Data Science and Analytics with Python

Advanced Data Science and Analytics with Python

A

Jesús Rogel-Salazar

AI and ML
RU
AI-Assisted Programming: Enhanced Planning, Coding, Testing, and Deployment

AI-Assisted Programming: Enhanced Planning, Coding, Testing, and Deployment

A

Том Таулли

AI and ML
RU
Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

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

A

Кайл Галлатин, Крис Элбон

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

Machine Learning with Python: Theory and Applications

A

G. R. Liu

AI and ML
RU
Grokking Machine Learning

Grokking Machine Learning

A

Серрано Луис

AI and ML
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 and ML
EN
Minimalist Data Wrangling with Python

Minimalist Data Wrangling with Python

A

Marek Gagolewski

AI and ML
EN
The Python Interview Handbook: Your best guide with Essential Questions and Answers!

The Python Interview Handbook: Your best guide with Essential Questions and Answers!

B

Nezir Zahirovic

Programming languages
EN
Reinforcement Learning: Theory and Python Implementation

Reinforcement Learning: Theory and Python Implementation

A

Zhiqing Xiao

AI and ML
EN
Data Mining with Python: Theory, Application, and Case Studies

Data Mining with Python: Theory, Application, and Case Studies

A

Di Wu

AI and ML
EN
Handbook of Software Fault Localization: Foundations and Advances

Handbook of Software Fault Localization: Foundations and Advances

A

W. Eric Wong, T.H. Tse

Software Development
EN
Python Data Cleaning Cookbook. Second Edition. Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI

Python Data Cleaning Cookbook. Second Edition. Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI

A

Michael Walker

AI and 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 and Infrastructure
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 and ML
EN
Data Without Labels: Practical Unsupervised Machine Learning

Data Without Labels: Practical Unsupervised Machine Learning

A

Vaibhav Verdhan

AI and ML
EN
Keras

Keras

A

Hayden Van Der Post

AI and ML
RU
TinyML Cookbook

TinyML Cookbook

A

Джан Марко Йодиче

Embedded systems
EN
Time Series Forecasting in Python

Time Series Forecasting in Python

A

Marco Peixeiro

AI and ML
EN
Data Science: A First Introduction with Python

Data Science: A First Introduction with Python

A

Tiffany Timbers, Trevor Campbell, Melissa Lee, Joel Ostblom, Lindsey Heagy

AI and ML
EN
The Hundred-Page Machine Learning Book

The Hundred-Page Machine Learning Book

B

Andriy Burkov

AI and ML
RU
Theoretical Minimum on Big Data. Everything You Need to Know About Big Data

Theoretical Minimum on Big Data. Everything You Need to Know About Big Data

B

Ын Анналин, Су Кеннет

AI and ML
RU
System Design. Machine Learning. Preparing for a Hard Interview

System Design. Machine Learning. Preparing for a Hard Interview

A

Алекс Сюй, Али Аминиан

IT management
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 and ML
RU
Silent D Meysman A Fundamentals of Data Science and Big Data Python and Science

Silent D Meysman A Fundamentals of Data Science and Big Data Python and Science

F
Programming languages
EN
Welcome to AI: A Human Guide to Artificial Intelligence

Welcome to AI: A Human Guide to Artificial Intelligence

A

David L. Shrier

AI and 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

Programming languages
EN
Machine Learning for Causal Inference

Machine Learning for Causal Inference

A

Sheng Li, Zhixuan Chu (Editors)

AI and ML
EN
Tidy Finance with Python

Tidy Finance with Python

A

Christoph Scheuch, Stefan Voigt, Patrick Weiss, Christoph Frey

AI and ML
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