Machine learning - The power and promise of computers that learn by example

Author: Royal Society

*Wait a few seconds for the document to load, the time may vary depending on your internet connection. If you prefer, you can download the file by clicking on the link below.

Information

Description: Machine learning - The power and promise of computers that learn, this document provides a comprehensive overview of machine learning, highlighting its advancements, applications, and implications for society.

Pages: 128

Megabytes: 2.45 MB

Download

This may interest you

Foundations of Machine Learning

Foundations of Machine Learning

Extension: PDF | 505 pages

Foundations of Machine Learning, this second edition serves as a comprehensive introduction to machine learning, covering fundamental topics, theoretical frameworks, and practical applications.

Machine Learning – Supervised Techniques

Machine Learning - Supervised Techniques

Extension: PDF | 256 pages

Machine Learning - Supervised Techniques, provides a comprehensive overview of supervised machine learning methods, emphasizing applications in bioinformatics.

Interpretable Machine Learning

Interpretable Machine Learning

Extension: PDF | 251 pages

Interpretable Machine Learning, this book serves as a comprehensive guide to making complex machine learning models interpretable. It discusses various interpretability methods, their importance, and practical applications, making it crucial for practitioners and researchers seeking to improve model transparency and trustworthiness in AI.

Introduction to machine learning

Introduction to machine learning

Extension: PDF | 188 pages

Introduction to machine learning, this paper serves as an initial draft of a textbook proposal on machine learning. Covers fundamental concepts, various types of learning and methods.

Machine Learning

Machine Learning

Extension: PDF | 154 pages

Machine Learning, this document presents a comprehensive overview of recent advancements in machine learning, particularly in applications such as finance, healthcare, and automation.