This book bridges theoretical computer science and machine learning by exploring what the two sides can teach each other. It emphasizes the need for flexible, tractable models that better capture not what makes machine learning hard, but what makes it easy. Theoretical computer scientists will be in
Algorithmic Aspects of Machine Learning (MIT 18.409)
โ Scribed by it-ebooks
- Publisher
- iBooker it-ebooks
- Year
- 2017
- Tongue
- English
- Leaves
- 126
- Series
- it-ebooks-2017
- Category
- Library
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๐ SIMILAR VOLUMES
Build strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guide About This Book Get started in the field of Machine Learning with the help of this solid, concept-rich, yet highly practical guide. Your one-stop solution for everything
An easy-to-follow, step-by-step guide for getting to grips with the real-world application of machine learning algorithms Key Features Explore statistics and complex mathematics for data-intensive applications Discover new developments in EM algorithm, PCA, and bayesian regression Study patterns and