Practical Machine Learning for Data Analysis Using Python /
Practical Machine Learning for Data Analysis Using Python is a problem solver’s 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 s...
| Main Authors: | , |
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| Format: | software, multimedia |
| Language: | eng |
| Published: |
London : Academic Press,
2020
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| Subjects: | |
| Online Access: | https://www.sciencedirect.com/book/9780128213797 |
| _version_ | 1796764901620842496 |
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| author | Subasi, Abdulhamit, author 651611 ScienceDirect (Online service) 7722 |
| author_facet | Subasi, Abdulhamit, author 651611 ScienceDirect (Online service) 7722 |
| author_sort | Subasi, Abdulhamit, author 651611 |
| collection | OCEAN |
| description | Practical Machine Learning for Data Analysis Using Python is a problem solver’s 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. Moreover, it covers a wide range of machine learning models, including regression, classification, and forecasting. The goal of the book is to help a broad range of readers, including IT professionals, analysts, developers, data scientists, engineers, and graduate students, to solve their own real-world problems. |
| first_indexed | 2024-03-05T17:16:38Z |
| format | software, multimedia |
| id | KOHA-OAI-TEST:604006 |
| institution | Universiti Teknologi Malaysia - OCEAN |
| language | eng |
| last_indexed | 2024-03-05T17:16:38Z |
| publishDate | 2020 |
| publisher | London : Academic Press, |
| record_format | dspace |
| spelling | KOHA-OAI-TEST:6040062023-10-24T03:17:45ZPractical Machine Learning for Data Analysis Using Python / Subasi, Abdulhamit, author 651611 ScienceDirect (Online service) 7722 software, multimedia Electronic books 631902 London : Academic Press,2020©2020engPractical Machine Learning for Data Analysis Using Python is a problem solver’s 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. Moreover, it covers a wide range of machine learning models, including regression, classification, and forecasting. The goal of the book is to help a broad range of readers, including IT professionals, analysts, developers, data scientists, engineers, and graduate students, to solve their own real-world problems.Includes index.1. Introduction -- 2. Data preprocessing -- 3. Machine learning techniques -- 4. Classification examples for healthcare -- 5. Other classification examples -- 6. Regression examples -- 7. Clustering examples -- IndexPractical Machine Learning for Data Analysis Using Python is a problem solver’s 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. Moreover, it covers a wide range of machine learning models, including regression, classification, and forecasting. The goal of the book is to help a broad range of readers, including IT professionals, analysts, developers, data scientists, engineers, and graduate students, to solve their own real-world problems.Machine learningPython (Computer program language)https://www.sciencedirect.com/book/9780128213797URN:ISBN:9780128213797Remote access restricted to users with a valid UTM ID via VPN. |
| spellingShingle | Machine learning Python (Computer program language) Subasi, Abdulhamit, author 651611 ScienceDirect (Online service) 7722 Practical Machine Learning for Data Analysis Using Python / |
| title | Practical Machine Learning for Data Analysis Using Python / |
| title_full | Practical Machine Learning for Data Analysis Using Python / |
| title_fullStr | Practical Machine Learning for Data Analysis Using Python / |
| title_full_unstemmed | Practical Machine Learning for Data Analysis Using Python / |
| title_short | Practical Machine Learning for Data Analysis Using Python / |
| title_sort | practical machine learning for data analysis using python |
| topic | Machine learning Python (Computer program language) |
| url | https://www.sciencedirect.com/book/9780128213797 |
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