Machine learning for absolute beginners : a plain English introduction
By: Theobald, Oliver
Publisher: Monee, IL : Scatter Plot Press, c2017.Edition: 2nd ed.Description: 149 p. : ill. ; 23 cm.ISBN: 9781549617218 ; 1549617214Subject(s): Machine learning | Computer algorithms | Data miningDDC classification: 006.31 TH MA Online resources: Location Map| Item type | Home library | Call number | Status | Notes | Date due | Barcode | Item holds |
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| REGULAR | University of Wollongong in Dubai Main Collection | 006.31 TH MA (Browse shelf) | Available | Feb2020 | T0063597 |
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| 006.31 MU MA Machine learning | 006.31 PR AC Practical machine learning and image processing : | 006.31 SI GN Signal processing and machine learning for brain-machine interfaces / | 006.31 TH MA Machine learning for absolute beginners : | 006.31 TH MA Machine learning : | 006.31 TH MA Machine learning : | 006.31 TH MA Machine learning : |
"How computers are now able to mimic human thinking to process information is rapidly exceeding human capabilities in everything from chess to picking the winner of a song contest. In the modern age of machine learning, computers do not strictly need to receive an 'input command' to perform a task, but rather 'input data'. From the input of data, they can form their own decisions and take actions virtually as a human world. But given it is a machine, it can consider many more scenarios and execute far more complicated calculations to solve complex problems. This is the element that excites data scientists and machine learning engineers the most. The ability to solve complex problems never before attempted. This book will dive in to introduce machine learning, and is ideal for beginners starting in machine learning."--Page 4 of cover
Machine Learning for Absolute Beginners Second Edition has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required. Where core algorithms are introduced, clear explanations and visual examples are added to make it easy and engaging to follow along at home.