This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for researchers and practitioners in the disciplines of computer science, electronics and telecommunication, information science, and electrical engineering. Machine
Big data and machine learning
โ Scribed by Martin, Brett S., author
- Publisher
- Chicago, Illinois : Norwood House Press
- Year
- 2019
- Tongue
- English
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
48 pages : 19 x 24 cm
๐ SIMILAR VOLUMES
<span>The book discusses various aspects of biophysics. It starts from the popular article on neurobiology to quantum biology and ends up with the consciousness of a human being and in the universe. The authors have covered eight nine different aspects of natural intelligence, starting from time cry
<span>The book discusses various aspects of biophysics. It starts from the popular article on neurobiology to quantum biology and ends up with the consciousness of a human being and in the universe. The authors have covered eight nine different aspects of natural intelligence, starting from time cry
<p><span>This book presents a variety ofย advanced statistical methods atย a level suitable forย advanced undergraduate and graduate students as well as for others interested in familiarizing themselves withย these important subjects. It proceeds toย illustrate these methods in theย context ofย real-life a
Get to know the โwhyโ and โhowโ of machine learning and big data in quantitative investment Big Data and Machine Learning in Quantitative Investment is not just about demonstrating the maths or the coding. Instead, itโs a book by practitioners for practitioners, covering the questions of why and ho
Healthcare transformation requires us to continually look at new and better ways to manage insights - both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization's day-to-day operations is becoming v