Data Science and Analytics with Python (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) by Jesus Rogel-Salazar
Requirements: PDF Reader, 32 MB
Overview: The book is organized in a way that individual chapters are sufficiently independent from each other so that the reader is comfortable using the contents as a reference. The book discusses what data science and analytics are, from the point of view of the process and results obtained. Important features of Python are also covered, including a Python primer. The basic elements of machine learning, pattern recognition, and artificial intelligence that underpin the algorithms and implementations used in the rest of the book also appear in the first part of the book.
Genre: Non-Fiction > Computer Programming & Software Development
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