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Cover: 9781009123303 | A Hands-On Introduction to Machine Learning | Chirag Shah | Buch
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A Hands-On Introduction to Machine Learning
Buch von Chirag Shah
Sprache: Englisch

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Beschreibung
A self-contained and practical introduction that assumes no prior knowledge of programming or machine learning.
A self-contained and practical introduction that assumes no prior knowledge of programming or machine learning.
Über den Autor
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.
Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: 2022
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: Gebunden
ISBN-13: 9781009123303
ISBN-10: 1009123300
Sprache: Englisch
Einband: Gebunden
Autor: Shah, Chirag
Hersteller: Cambridge University Pr.
Abbildungen: Worked examples or Exercises
Maße: 258 x 212 x 26 mm
Von/Mit: Chirag Shah
Erscheinungsdatum: 29.12.2022
Gewicht: 1,204 kg
Artikel-ID: 123196641
Über den Autor
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.
Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: 2022
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: Gebunden
ISBN-13: 9781009123303
ISBN-10: 1009123300
Sprache: Englisch
Einband: Gebunden
Autor: Shah, Chirag
Hersteller: Cambridge University Pr.
Abbildungen: Worked examples or Exercises
Maße: 258 x 212 x 26 mm
Von/Mit: Chirag Shah
Erscheinungsdatum: 29.12.2022
Gewicht: 1,204 kg
Artikel-ID: 123196641
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