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introduction statistical machine learning methods

Type:: E-books
Files:: 5
Size:: 4.5 MB
Uploaded On:: Aug. 22, 2021, 2:24 p.m.
Added By:: tuts756
Seeders:: 1
Leechers:: 0
Info Hash:: DAA0363E56855F8C3F634E52941ADDC67AF5FD2A

Description Boost your understanding of data science techniques to solve real-world problems Data science is an exciting, interdisciplinary field that extracts insights from data to solve business problems. This book introduces common data science techniques and methods and shows you how to apply them in real-world case studies. From data preparation and exploration to model assessment and deployment, this book describes every stage of the analytics life cycle, including a comprehensive overview of unsupervised and supervised machine learning techniques. The book guides you through the necessary steps to pick the best techniques and models and then implement those models to successfully address the original business need. No software is shown in the book, and mathematical details are kept to a minimum. This allows you to develop an understanding of the fundamentals of data science, no matter what background or experience level you have. Book Details Language: English Published: 2021 ISBN: 1953329608 Format: True EPUB

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introduction statistical machine learning methods

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