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Essential Math for AI: Next-Level Mathematics for Developing Efficient and Successful AI Systems

Hala Nelson, 9781098107611, 1098107632, 978-1098107635, 9781098107635

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English | 2023 | PDF

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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. 

  • Understand  the underlying mathematics powering AI systems, including generative  adversarial networks, random graphs, large random matrices, mathematical  logic, optimal control, and more 
  • Learn how to adapt mathematical methods to different applications from completely different fields 
  • Gain the mathematical fluency to interpret and explain how AI systems arrive at their decisions