How Long to Read Empirical Approach to Machine Learning

How Long Does it Take to Read Empirical Approach to Machine Learning?

It takes the average reader 7 hours and 8 minutes to read Empirical Approach to Machine Learning by Plamen P. Angelov

Assuming a reading speed of 250 words per minute. Learn more

Description

This book provides a ‘one-stop source’ for all readers who are interested in a new, empirical approach to machine learning that, unlike traditional methods, successfully addresses the demands of today’s data-driven world. After an introduction to the fundamentals, the book discusses in depth anomaly detection, data partitioning and clustering, as well as classification and predictors. It describes classifiers of zero and first order, and the new, highly efficient and transparent deep rule-based classifiers, particularly highlighting their applications to image processing. Local optimality and stability conditions for the methods presented are formally derived and stated, while the software is also provided as supplemental, open-source material. The book will greatly benefit postgraduate students, researchers and practitioners dealing with advanced data processing, applied mathematicians, software developers of agent-oriented systems, and developers of embedded and real-time systems. It can also be used as a textbook for postgraduate coursework; for this purpose, a standalone set of lecture notes and corresponding lab session notes are available on the same website as the code. Dimitar Filev, Henry Ford Technical Fellow, Ford Motor Company, USA, and Member of the National Academy of Engineering, USA: “The book Empirical Approach to Machine Learning opens new horizons to automated and efficient data processing.” Paul J. Werbos, Inventor of the back-propagation method, USA: “I owe great thanks to Professor Plamen Angelov for making this important material available to the community just as I see great practical needs for it, in the new area of making real sense of high-speed data from the brain.” Chin-Teng Lin, Distinguished Professor at University of Technology Sydney, Australia: “This new book will set up a milestone for the modern intelligent systems.” Edward Tunstel, President of IEEE Systems, Man, Cybernetics Society, USA: “Empirical Approach to Machine Learning provides an insightful and visionary boost of progress in the evolution of computational learning capabilities yielding interpretable and transparent implementations.”

How long is Empirical Approach to Machine Learning?

Empirical Approach to Machine Learning by Plamen P. Angelov is 423 pages long, and a total of 107,019 words.

This makes it 143% the length of the average book. It also has 131% more words than the average book.

How Long Does it Take to Read Empirical Approach to Machine Learning Aloud?

The average oral reading speed is 183 words per minute. This means it takes 9 hours and 44 minutes to read Empirical Approach to Machine Learning aloud.

What Reading Level is Empirical Approach to Machine Learning?

Empirical Approach to 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.

Where Can I Buy Empirical Approach to Machine Learning?

Empirical Approach to Machine Learning by Plamen P. Angelov is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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