pchandiwal-livongo/datascience_books
Springer has released hundreds of free books on a wide range of topics to the general public.
This is a curated list of 65 free e-books from Springer, specifically chosen for their relevance to data science and machine learning. It provides direct access to a collection of textbooks covering mathematical foundations, statistics, programming, and advanced topics like deep learning. This resource is ideal for students, academics, or self-learners looking to build or enhance their knowledge in data science.
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Use this if you are a student or professional seeking a structured collection of free, high-quality books to learn or deepen your understanding of data science and machine learning concepts.
Not ideal if you are looking for interactive tutorials, course materials with exercises, or books outside the data science and machine learning domains.
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Feb 16, 2023
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