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Many sectors and industries are eager to integrate AI and data-driven technologies into their systems and operations. But to build truly successful AI systems, you need a firm grasp of the underlying mathematics. This comprehensive guide bridges the current gap in presentation between the unlimited potential and applications of AI and its relevant mathematical foundations. Rather than discussing dense academic theory, author Hala Nelson surveys the mathematics necessary to thrive in the AI field, focusing on real-world applications and state-of-the-art models. You'll explore topics such as regression, neural networks, convolution, optimization, probability, Markov processes, differential equations, and more within an exclusive AI context. Engineers, data scientists, mathematicians, and scientists will gain a solid foundation for success in the AI and math fields
Buchkauf
Essential Math for AI : next-level mathematics for efficient and successful AI systems, Hala Nelson
- Sprache
- Erscheinungsdatum
- 2023
- product-detail.submit-box.info.binding
- (Paperback)
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- Titel
- Essential Math for AI : next-level mathematics for efficient and successful AI systems
- Sprache
- Englisch
- Autor*innen
- Hala Nelson
- Verlag
- O'Reilly Media
- Erscheinungsdatum
- 2023
- Einband
- Paperback
- ISBN10
- 1098107632
- ISBN13
- 9781098107635
- Reihe
- Schlagwörter
- Sachbücher
- Bewertung
- 3,8 von 5 Sternen
- Beschreibung
- Many sectors and industries are eager to integrate AI and data-driven technologies into their systems and operations. But to build truly successful AI systems, you need a firm grasp of the underlying mathematics. This comprehensive guide bridges the current gap in presentation between the unlimited potential and applications of AI and its relevant mathematical foundations. Rather than discussing dense academic theory, author Hala Nelson surveys the mathematics necessary to thrive in the AI field, focusing on real-world applications and state-of-the-art models. You'll explore topics such as regression, neural networks, convolution, optimization, probability, Markov processes, differential equations, and more within an exclusive AI context. Engineers, data scientists, mathematicians, and scientists will gain a solid foundation for success in the AI and math fields