It takes the average reader 5 hours and 25 minutes to read Visual Knowledge Discovery and Machine Learning by Boris Kovalerchuk
Assuming a reading speed of 250 words per minute. Learn more
This book combines the advantages of high-dimensional data visualization and machine learning in the context of identifying complex n-D data patterns. It vastly expands the class of reversible lossless 2-D and 3-D visualization methods, which preserve the n-D information. This class of visual representations, called the General Lines Coordinates (GLCs), is accompanied by a set of algorithms for n-D data classification, clustering, dimension reduction, and Pareto optimization. The mathematical and theoretical analyses and methodology of GLC are included, and the usefulness of this new approach is demonstrated in multiple case studies. These include the Challenger disaster, world hunger data, health monitoring, image processing, text classification, market forecasts for a currency exchange rate, computer-aided medical diagnostics, and others. As such, the book offers a unique resource for students, researchers, and practitioners in the emerging field of Data Science.
Visual Knowledge Discovery and Machine Learning by Boris Kovalerchuk is 317 pages long, and a total of 81,469 words.
This makes it 107% the length of the average book. It also has 100% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 7 hours and 25 minutes to read Visual Knowledge Discovery and Machine Learning aloud.
Visual Knowledge Discovery and Machine Learning is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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