Result: Machine Learning Theory and Applications: Hands‐On Use Cases With Python on Classical and Quantum Machines.

Title:
Machine Learning Theory and Applications: Hands‐On Use Cases With Python on Classical and Quantum Machines.
Authors:
Liu, Shuangzhe1 (AUTHOR) shuangzhe.liu@canberra.edu.au
Source:
International Statistical Review. Dec2024, Vol. 92 Issue 3, p490-491. 2p.
Subject Terms:
*MACHINE learning, *LANGUAGE models, *NATURAL language processing, *SUPERVISED learning, *ARTIFICIAL neural networks, *QUANTUM computers, *DEEP learning
Database:
Academic Search Index

Further Information

The article "Machine Learning Theory and Applications: Hands-On Use Cases With Python on Classical and Quantum Machines" is a valuable resource for graduate and advanced undergraduate students in Statistics and Data Science, as well as practitioners in the field. Authored by an experienced expert in the field, the book covers theoretical foundations and practical applications in both classical and quantum computing, with a user-friendly approach for beginners and advanced users. It includes chapters on fundamental concepts, feature engineering, machine learning algorithms, natural language processing, quantum computing, machine learning in production, and insights into diverse hardware technologies. The book assumes a basic understanding of Python programming, NumPy, Pandas libraries, and fundamental mathematical concepts, making it an essential tool for data scientists, engineers, IT specialists, and students in related fields. [Extracted from the article]