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Machine Learning Algorithms in Depth dives deep into the 'how' and the 'why' of machine learning algorithms. For each category of an algorithm, you will go from math-first principles to hands-on implementation in Python. You will explore dozens of examples from across all the fields of machine learning, including finance, computer vision, NLP, and more. Each example is accompanied by worked-out derivations and details as well as insightful code samples and graphics. By the time you're done reading, you will know how major algorithms work under the hood -- and be a better machine learning practitioner.
About the readerFor intermediate machine learning practitioners familiar with linear algebra, probability, and basic calculus.
Machine Learning Algorithms in Depth dives deep into the 'how' and the 'why' of machine learning algorithms. For each category of an algorithm, you will go from math-first principles to hands-on implementation in Python. You will explore dozens of examples from across all the fields of machine learning, including finance, computer vision, NLP, and more. Each example is accompanied by worked-out derivations and details as well as insightful code samples and graphics. By the time you're done reading, you will know how major algorithms work under the hood -- and be a better machine learning practitioner.
About the readerFor intermediate machine learning practitioners familiar with linear algebra, probability, and basic calculus.
Vadim Smolyakov is a data scientist in Enterprise & Security DI R&D team at Microsoft. He is a former PhD student in AI at MIT CSAIL with research interests in Bayesian inference and deep learning. Prior to joining Microsoft, Vadim developed machine learning solutions in the e-commerce space.
| Erscheinungsjahr: | 2024 |
|---|---|
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| ISBN-13: | 9781633439214 |
| ISBN-10: | 1633439216 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Smolyakov, Vadim |
| Hersteller: | Manning Publications |
| Maße: | 235 x 188 x 17 mm |
| Von/Mit: | Vadim Smolyakov |
| Erscheinungsdatum: | 27.08.2024 |
| Gewicht: | 0,567 kg |
Vadim Smolyakov is a data scientist in Enterprise & Security DI R&D team at Microsoft. He is a former PhD student in AI at MIT CSAIL with research interests in Bayesian inference and deep learning. Prior to joining Microsoft, Vadim developed machine learning solutions in the e-commerce space.
| Erscheinungsjahr: | 2024 |
|---|---|
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| ISBN-13: | 9781633439214 |
| ISBN-10: | 1633439216 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Smolyakov, Vadim |
| Hersteller: | Manning Publications |
| Maße: | 235 x 188 x 17 mm |
| Von/Mit: | Vadim Smolyakov |
| Erscheinungsdatum: | 27.08.2024 |
| Gewicht: | 0,567 kg |
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