December 2018
Beginner to intermediate
684 pages
21h 9m
English
If you are reading this, then you are probably aware that ML has become a strategic capability in many industries, including the investment industry. The explosion of digital data that drives much of the rise of ML is having a particularly powerful impact on investing, which already has a long history of using sophisticated models to process information. The scope of trading across asset classes implies that a vast range of new, alternative data may be relevant in addition to the market and fundamental data that used to be the focus of the analytical efforts.
You may have also come across the insight that the successful application of ML or data science requires the integration of statistical knowledge, computational ...