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All the math we need to get into AI. Math and AI made easy...Many 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 gap in presentation between the potential and applications of AI and its relevant mathematical foundations.
In an immersive and conversational style, the book surveys the mathematics necessary to thrive in the AI field, focusing on real-world applications and state-of-the-art models, rather than on dense academic theory. You'll explore topics such as regression, neural networks, convolution, optimization, probability, graphs, random walks, Markov processes, differential equations, and more within an exclusive AI context geared toward computer vision, natural language processing, generative models, reinforcement learning, operations research, and automated systems. With a broad audience in mind, including engineers, data scientists, mathematicians, scientists, and people early in their careers, the book helps build a solid foundation for success in the AI and math fields.
You'll be able to:
Comfortably speak the languages of AI, machine learning, data science, and mathematicsUnify machine learning models and natural language models under one mathematical structureHandle graph and network data with easeExplore real data, visualize space transformations, reduce dimensions, and process imagesDecide on which models to use for different data-driven projectsExplore the various implications and limitations of AI
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O'Reilly's mission is to change the world by sharing the knowledge of innovators. For over 40 years, we've inspired companies and individuals to do new things (and do them better) by providing the skills and understanding that are necessary for success.
Our customers are hungry to build the innovations that propel the world forward. And we help them do just that.
Publisher : O'Reilly Media; 1st edition (February 14, 2023)
Language : English
Paperback : 602 pages
ISBN-10 : 1098107632
ISBN-13 : 978-1098107635
Item Weight : 2.15 pounds
Dimensions : 6.75 x 1.25 x 9 inches
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