Chirag Shah

Hands-On Introduction to Machine Learning (eBook, PDF)

• Format: PDF

Produktbeschreibung

A self-contained and practical introduction that assumes no prior knowledge of programming or machine learning.

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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 29. Dezember 2022
• Englisch
• ISBN-13: 9781009325172
• Artikelnr.: 70912747

Autorenporträt

Dr. Chirag Shah is a Professor of Information Science at the University of Washington (UW) in Seattle, USA. Before UW, he was at Rutgers University. His research focuses on intelligent information access systems that are also fair, transparent, and trustworthy. Dr. Shah teaches in undergraduate, masters, and Ph.D. programs at UW, focusing on data science and machine learning. He has designed MOOCs and taught several tutorials and short courses at international venues. Dr. Shah has written several books, including the bestselling textbook A Hands-On Introduction to Data Science (2020). He has visited and worked with many tech companies, including Amazon, Brainly, Getty Images, Microsoft Research, and Spotify.

Inhaltsangabe

Part I. Basic Concepts: 1. Teaching computers to write programs
2. Python
3. Cloud computing
Part II. Supervised Learning: 4. Regression
5. Classification-1
6. Classification-2
Part III. Unsupervised Learning: 7. Clustering
8. Dimensionality reduction
Part IV. Neural Networks: 9. Neural networks
10. Deep learning
Part V. Further explorations: 11. Reinforcement learning
12. Designing and evaluating ML systems
13. Responsible AI
Appendices.