Chirag Shah (University of Washington)

A Hands-On Introduction to Machine Learning

• Gebundenes Buch

Produktbeschreibung

Packed with real-world examples, industry insights and practical activities, this textbook is designed to teach machine learning in a way that is easy to understand and apply. It assumes only a basic knowledge of technology, making it an ideal resource for students and professionals, including those who are new to computer science.

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Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 500
• Erscheinungstermin: 29. Dezember 2022
• Englisch
• Abmessung: 258mm x 212mm x 26mm
• Gewicht: 1194g
• ISBN-13: 9781009123303
• ISBN-10: 1009123300
• Artikelnr.: 65182446

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.