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Artificial Intelligence Books to Read in 2020
Here are some AI-related books that I’ve read and recommend for you to add to your 2020 reading list!
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Big Data Architecture: A Complete and Detailed Overview
Data scientists may not be as educated or experienced in computer science, programming concepts, devops, site reliability engineering, non-functional requirements, software solution infrastructure, or general software architecture as compared to well-trained or experienced software architects and engineers.
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 What Is Data Science, and What Does a Data Scientist Do?
This article is intended to help define the data scientist role, including typical skills, qualifications, education, experience, and responsibilities. This definition is somewhat loose, and given that the ideal experience and skill set is relatively rare to find in one individual.
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 Data Science and Big Data, Explained
This article is meant to give the non-data scientist a solid overview of the many concepts and terms behind data science and big data. While related terms will be mentioned at a very high level, the reader is encouraged to explore the references and other resources for additional detail.
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Machine Learning: A Complete and Detailed Overview
This is an overview (with links) to a 5-part series on introductory machine learning. The set of tutorials is comprehensive, yet succinct, covering many important topics in the field (and beyond).
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Artificial Intelligence, Deep Learning, and Neural Networks, Explained
This article is meant to explain the concepts of AI, deep learning, and neural networks at a level that can be understood by most non-practitioners, and can also serve as a reference or review for technical folks as well.
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What Is Data Science, and What Does a Data Scientist Do?
Data Science and Big Data, Explained
Machine Learning: A Complete and Detailed Overview