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AI and ML Reading List: My Favorites

Jan 09, 2024 - theaiunderwriter.substack.com
The article is a personal blog post that begins with a disclaimer stating that the views and opinions expressed are solely the author's and do not reflect those of their current or previous employers. The author also disclaims responsibility for any content on external sites linked in the blog. The main content of the blog post is a list of the author's favorite books on the topics of artificial intelligence and machine learning.

The list includes a wide range of books, from introductory guides for beginners to more advanced texts for those already familiar with the field. Some of the books focus on the theoretical aspects of AI and machine learning, while others provide practical guides for coding and data analysis. The list also includes books that explore the societal implications of AI and big data. The author invites readers to reach out if they have any additional recommendations.

Key takeaways:

  • The blog post provides a list of recommended books on artificial intelligence and machine learning.
  • The books cover a range of topics, from beginner introductions to more advanced texts, and include practical guides as well as discussions on the societal implications of AI.
  • Some of the authors mentioned include Melanie Mitchell, O. Theobald, Marcus du Sautoy, Pedro Domingos, and Cade Metz.
  • The author invites readers to reach out if they have additional book recommendations to add to the list.
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