AI Algorithms: A Comprehensive Guide to Machine Learning Models and Techniques
B

AI Algorithms: A Comprehensive Guide to Machine Learning Models and Techniques

Machine learning
machine learning algorithms deep learning neural networks Python supervised learning unsupervised learning
Author
Murat Durmus
Publisher
Self-published
Year
2023
Language
English
101
Rate this book

To read the book, log in / register

Preview fragment

Similar books

Synthetic Data and Generative AI

Synthetic Data and Generative AI

Vincent Granville

Machine Learning Algorithms Using Scikit and TensorFlow Environments

Machine Learning Algorithms Using Scikit and TensorFlow Environments

Puvvadi Baby Maruthi, Smrity Prasad, Amit Kumar Tyagi

Problem Solving in Data Structures & Algorithms using Python. Third Edition

Problem Solving in Data Structures & Algorithms using Python. Third Edition

Hemant Jain

Applied Generative AI for Beginners: Practical Knowledge on Diffusion Models, ChatGPT, and Other LLMs

Applied Generative AI for Beginners: Practical Knowledge on Diffusion Models, ChatGPT, and Other LLMs

Akshay Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, Dilip Gudivada

Azure Machine Learning

Azure Machine Learning

Jeff Barnes

Applied Machine Learning and Artificial Intelligence for Engineers

Applied Machine Learning and Artificial Intelligence for Engineers

Jeff Probst

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

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

Mark Ryan, Luca Massaron

AI and ML for Coders in PyTorch: A Coder’s Guide to Generative AI and Machine Learning

AI and ML for Coders in PyTorch: A Coder’s Guide to Generative AI and Machine Learning

Laurence Moroney

Machine Learning Algorithms in Depth

Machine Learning Algorithms in Depth

Vadim Smolyakov

COMPUTER ALGORITHMS: Correctness Proofs and Performance Analyses

Shashank K. Mehta