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Practical Machine Learning for Data Analysis Using Python by ... - 9780128213797
Practical Machine Learning for Data Analysis Using Python by ... - 9780128213797
Practical Machine Learning for Data Analysis Using Python by ... - 9780128213797
Practical Machine Learning for Data Analysis Using Python by ... - 9780128213797

Practical Machine Learning for Data Analysis Using Python by ... - 9780128213797

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Practical Machine Learning for Data Analysis Using PythonAuthor(s): Abdulhamit Subasi\nFormat: Paperback\nPublisher: Elsevier Science Publishing Co Inc, United States\nImprint: Academic Press Inc\nISBN-13: 9780128213797, 978-0128213797\nSynopsis\nPractical Machine Learning for Data Analysis Using Python is a problem solvers guide for creating real-world intelligent systems. It provides a comprehensive approach with concepts, practices, hands-on examples, and sample code. The book teaches readers the vital skills required to understand and solve different problems with machine learning. It teaches machine learning techniques necessary to become a successful practitioner, through the presentation of real-world case studies in Python machine learning ecosystems. The book also focuses on building a foundation of machine learning knowledge to solve different real-world case studies across various fields, including biomedical signal analysis, healthcare, security, economics, and finance. M.

Practical Machine Learning for Data Analysis Using Python by ... - 9780128213797

Practical Machine Learning for Data Analysis Using PythonAuthor(s): Abdulhamit Subasi\nFormat: Paperback\nPublisher: Elsevier Science Publishing Co Inc, United States\nImprint: Academic Press Inc\nISBN-13: 9780128213797, 978-0128213797\nSynopsis\nPractical Machine Learning for Data Analysis Using Python is a problem solvers guide for creating real-world intelligent systems. It provides a comprehensive approach with concepts, practices, hands-on examples, and sample code. The book teaches readers the vital skills required to understand and solve different problems with machine learning. It teaches machine learning techniques necessary to become a successful practitioner, through the presentation of real-world case studies in Python machine learning ecosystems. The book also focuses on building a foundation of machine learning knowledge to solve different real-world case studies across various fields, including biomedical signal analysis, healthcare, security, economics, and finance. M.

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