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Reseña del editor
From self-driving cars and recommender systems to speech and face recognition, machine learning is the way of the future. Would you like to learn the mathematics behind machine learning to enter the exciting fields of data science and artificial intelligence? There aren't many resources out there that give simple detailed examples and that walk you through the topics step by step.This book not only explains what kind of math is involved and the confusing notation, it also introduces you directly to the foundational topics in machine learning. This book will get you started in machine learning in a smooth and natural way, preparing you for more advanced topics and dispelling the belief that machine learning is complicated, difficult, and intimidating.
Biografía del autor
Richard Han earned his PhD in Mathematics from the University of California, Riverside. He has created many successful online math courses ranging from linear algebra and discrete math to machine learning.
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- VerlagCreateSpace Independent Publishing Platform
- Erscheinungsdatum2018
- ISBN 10 172282381X
- ISBN 13 9781722823818
- EinbandTapa blanda
- SpracheEnglisch
- Anzahl der Seiten152
Suchergebnisse für Math for Machine Learning: Open Doors to Data Science...
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Math for Machine Learning: Open Doors to Data Science and Artificial Intelligence
Verlag:
CreateSpace Independent Publishing Platform, 2018
ISBN 10: 172282381X
ISBN 13: 9781722823818
Gebraucht
Paperback
Anbieter: WorldofBooks, Goring-By-Sea, WS, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Artikel-Nr. GOR010506002
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