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.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
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.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
EUR 4,28 für den Versand innerhalb von/der USA
Versandziele, Kosten & DauerGratis für den Versand innerhalb von/der USA
Versandziele, Kosten & DauerAnbieter: Books From California, Simi Valley, CA, USA
hardcover. Zustand: Very Good. Artikel-Nr. mon0003615110
Anzahl: 2 verfügbar
Anbieter: Books From California, Simi Valley, CA, USA
hardcover. Zustand: Good. Some light external wear. Pages are clean, text and pictures are intact and unmarred. Binding intact and firm. Good reading copy. Artikel-Nr. mon0003889132
Anzahl: 2 verfügbar
Anbieter: PBShop.store US, Wood Dale, IL, USA
HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Artikel-Nr. L2-9781009123303
Anzahl: 10 verfügbar
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Artikel-Nr. L2-9781009123303
Anzahl: 10 verfügbar
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Zustand: New. In. Artikel-Nr. ria9781009123303_new
Anzahl: 10 verfügbar
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Zustand: New. Artikel-Nr. 401485731
Anzahl: 1 verfügbar
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Hardcover. Zustand: Brand New. 500 pages. 10.24x8.23x0.91 inches. In Stock. Artikel-Nr. __1009123300
Anzahl: 1 verfügbar
Anbieter: moluna, Greven, Deutschland
Zustand: New. Über den AutorUniversity of WashingtonInhaltsverzeichnisPart I. Basic Concepts: 1. Teaching computers to write programs 2. Python 3. Cloud computing Part II. Supervised Learning: 4. Regression 5. Clas. Artikel-Nr. 666212626
Anzahl: 2 verfügbar
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Buch. Zustand: Neu. Neuware -A self-contained and practical introduction that assumes no prior knowledge of programming or machine learning.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 500 pp. Englisch. Artikel-Nr. 9781009123303
Anzahl: 1 verfügbar
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Hardcover. Zustand: Brand New. 500 pages. 10.24x8.23x0.91 inches. In Stock. Artikel-Nr. x-1009123300
Anzahl: 2 verfügbar