• Книги
  • Тег: Машинное обучение

Книги — Машинное обучение

EN
MATLAB Machine Learning Recipes: A Problem-Solution Approach

MATLAB Machine Learning Recipes: A Problem-Solution Approach

A

Michael Paluszek, Stephanie Thomas

AI и ML
EN
Beginner’s Guide to Streamlit with Python: Build Web-Based Data and Machine Learning Applications

Beginner’s Guide to Streamlit with Python: Build Web-Based Data and Machine Learning Applications

B

Sujay Raghavendra

AI и ML
EN
Adaptive Machine Learning Algorithms with Python: Solve Data Analytics and Machine Learning Problems on Edge Devices

Adaptive Machine Learning Algorithms with Python: Solve Data Analytics and Machine Learning Problems on Edge Devices

A

Chanchal Chatterjee

AI и ML
EN
Building Machine Learning Powered Applications: Going from Idea to Product

Building Machine Learning Powered Applications: Going from Idea to Product

A

Emmanuel Ameisen

AI и ML
EN
Machine Learning for Imbalanced Data: Tackle imbalanced datasets using machine learning and deep learning techniques

Machine Learning for Imbalanced Data: Tackle imbalanced datasets using machine learning and deep learning techniques

A

Kumar Abhishek, Dr. Mounir Abdelaziz

AI и ML
EN
AI Advanced Machine Learning for Finance with Python

AI Advanced Machine Learning for Finance with Python

A

Hayden Van Der Post

AI и ML
RU
40 алгоритмов, которые должен знать каждый программист на Python

40 алгоритмов, которые должен знать каждый программист на Python

A

Имран Ахмад

Алгоритмы и теория
EN
Quantum Mechanics and Bayesian Machines

Quantum Mechanics and Bayesian Machines

A

George Chapline

AI и ML
EN
Financial Modeling Using Quantum Computing: Design and manage quantum machine learning solutions for financial analysis and decision making

Financial Modeling Using Quantum Computing: Design and manage quantum machine learning solutions for financial analysis and decision making

A

Anshul Saxena, Javier Mancilla, Iraitz Montalban, Christophe Pere

AI и ML
RU
Python для Data Science

Python для Data Science

A

Не указан (возможно, коллектив авторов)

AI и ML
RU
Spark для профессионалов: современные паттерны обработки больших данных

Spark для профессионалов: современные паттерны обработки больших данных

A

Сэнди Риза, Ури Лезерсон, Шон Оуэн, Джош Уиллс

AI и ML
EN
Generative Artificial Intelligence: Exploring the Power and Potential of Generative AI

Generative Artificial Intelligence: Exploring the Power and Potential of Generative AI

A

Shivam R Solanki, Drupad K Khublani

AI и ML
EN
Machine Learning Algorithms in Depth

Machine Learning Algorithms in Depth

A

Vadim Smolyakov

AI и ML
EN
Dive into Deep Learning

Dive into Deep Learning

A

Aston Zhang, Zachary C. Lipton, Mu Li, Alexander J. Smola

AI и ML
EN
Practical Machine Learning on Databricks

Practical Machine Learning on Databricks

A

Debu Sinha

AI и ML
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