Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory.
Engineers, data scientists, and students alike will examine mathematical topics critical for AI--including regression, neural networks, optimization, backpropagation, convolution, Markov chains, and more--through popular applications such as computer vision, natural language processing, and automated systems. And supplementary Jupyter notebooks shed light on examples with Python code and visualizations. Whether you're just beginning your career or have years of experience, this book gives you the foundation necessary to dive deeper in the field.
| ISBN: | 9781098107635 |
| Publication date: | 17th January 2023 |
| Author: | Hala Nelson |
| Publisher: | O'Reilly an imprint of O'Reilly Media |
| Format: | Paperback |
| Pagination: | 602 pages |
| Genres: |
Probability and statistics Mathematical and statistical software Natural language and machine translation Machine learning Neural networks and fuzzy systems |
Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory.
Engineers, data scientists, and students alike will examine mathematical topics critical for AI--including regression, neural networks, optimization, backpropagation, convolution, Markov chains, and more--through popular applications such as computer vision, natural language processing, and automated systems. And supplementary Jupyter notebooks shed light on examples with Python code and visualizations. Whether you're just beginning your career or have years of experience, this book gives you the foundation necessary to dive deeper in the field.
Essential Math for AI features in the following genres: Probability and statistics, Mathematical and statistical software, Natural language and machine translation, Machine learning, Neural networks and fuzzy systems
Essential Math for AI is available in Paperback, Ebook
Essential Math for AI was written by Hala Nelson and published by O'Reilly an imprint of O'Reilly Media
Essential Math for AI has 602 pages
£57.59