Essential Math for AI: Next-Level Mathematics for Efficient and Successful AI Systems (Paperback)

Nelson, Hala

  • 出版商: O'Reilly
  • 出版日期: 2023-02-14
  • 定價: $2,690
  • 售價: 9.5$2,556
  • 語言: 英文
  • 頁數: 602
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1098107632
  • ISBN-13: 9781098107635
  • 相關分類: 人工智慧
  • 立即出貨 (庫存 < 3)



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 mathematics
- Unify machine learning models and natural language models under one mathematical structure
- Handle graph and network data with ease
- Explore real data, visualize space transformations, reduce dimensions, and process images
- Decide on which models to use for different data-driven projects
- Explore the various implications and limitations of AI




- 舒適地使用人工智慧、機器學習、數據科學和數學的語言
- 在一個數學結構下統一機器學習模型和自然語言模型
- 輕鬆處理圖形和網絡數據
- 探索真實數據,可視化空間轉換,降低維度和處理圖像
- 選擇在不同數據驅動項目中使用的模型
- 探索人工智慧的各種影響和限制