Machine Learning: Algorithms for Business
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Marcos Lopez de Prado shares what is usually hidden - the most profitable machine learning algorithms that he had used for two decades to manage large bullets of the most demanding investors.
Machine training changes almost every aspect of our lives, the algorithms of the Moscow Region perform tasks that until recently trusted only trusted experts. In the near future, machine learning will dominate finances, fortune -telling on coffee grounds will go into the past, and investments will cease to be a synonym for gambling.
take advantage of the chance to participate in the “Machine Revolution”, for this it is enough to get acquainted with the first book, which gives a complete and systematic analysis of machine learning methods in relation to finances: starting with financial data structures, labeling financial series, weighing the sample, and differentiation of temporary rows ... and ending with a whole part dedicated to the proper background of investment strategies
Machine training changes almost every aspect of our lives, the algorithms of the Moscow Region perform tasks that until recently trusted only trusted experts. In the near future, machine learning will dominate finances, fortune -telling on coffee grounds will go into the past, and investments will cease to be a synonym for gambling.
take advantage of the chance to participate in the “Machine Revolution”, for this it is enough to get acquainted with the first book, which gives a complete and systematic analysis of machine learning methods in relation to finances: starting with financial data structures, labeling financial series, weighing the sample, and differentiation of temporary rows ... and ending with a whole part dedicated to the proper background of investment strategies
Author:
Author:de Prado Marcos Lopez
Cover:
Cover:Soft
Category:
- Category:Arts & Photography
- Category:Comics and Graphic Novels
- Category:Science & Math
- Category:Reference books
Publication language:
Publication Language:Russian
Paper:
Paper:White
Series:
Series: it for business
Age restrictions:
Age restrictions:16+
ISBN:
ISBN:978-5-4461-1154-1
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