A Hands-On Introduction to Machine Learning

Inbunden, Engelska, 2022

662 kr

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Beskrivning

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. All the necessary topics are covered, including supervised and unsupervised learning, neural networks, reinforcement learning, cloud-based services, and the ethical issues still posing problems within the industry. While Python is used as the primary language, many exercises will also have the solutions provided in R for greater versatility. A suite of online resources is available to support teaching across a range of different courses, including example syllabi, a solutions manual, and lecture slides. Datasets and code are also available online for students, giving them everything they need to practice the examples and problems in the book.

Produktinformation

Utgivningsdatum:2022-12-29
Mått:209 x 261 x 23 mm
Vikt:1 200 g
Format:Inbunden
Språk:Engelska
Antal sidor:500
Förlag:Cambridge University Press
ISBN:9781009123303

Utforska kategorier

Artificiell intelligens inom Data och IT

Mer om författaren

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.

Recensioner i media

'Written by a great teacher who truly understands the material, the book is conversational and very approachable, while at the same time covering the material comprehensively. I really appreciated the organization, starting from fundamentals that the reader would know already, and then building knowledge structures from there.' Akhilesh Bajaj, The University of Tulsa

Innehållsförteckning

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.