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I. Goodfellow, Auteur ; Y. Bengio, Auteur ; A. Courville, Auteur | The MIT Press | Adaptative computation and machine learning series | 2016"Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human compu[...]
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J. Peters, Auteur ; D. Janzing, Auteur ; B. Scholkopf, Auteur | The MIT Press | Adaptative computation and machine learning series | 2017
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M. Mohri, Auteur ; A. Rostamizadeh, Auteur ; A. Talwalkar, Auteur | The MIT Press | Adaptative computation and machine learning series | 2018Foundations of Machine Learning is unique in its focus on the analysis and theory of algorithms. The first four chapters lay the theoretical foundation for what follows; subsequent chapters are mostly self-contained. Topics covered include the P[...]
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"The book provides a technical perspective on the most contemporary data-driven approaches, focusing on techniques from supervised and unsupervised machine learning. It also includes background in the salient linguistic issues, as well as comput[...]
