April 2019
Intermediate to advanced
426 pages
11h 13m
English
Content preview from Mastering Python for Finance - Second Edition
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Machine Learning for Finance
Machine learning is being rapidly adopted for a range of applications in the financial services industry. The adoption of machine learning in financial services has been driven by both supply factors, such as technological advances in data storage, algorithms, and computing infrastructure, and by demand factors, such as profitability needs, competition with other firms, and supervisory and regulatory requirements. Machine learning in finance includes algorithmic trading, portfolio management, insurance underwriting, and fraud detection, just to name a few subject areas.
There are several types of machine learning algorithms, but the two main ones that you will commonly come across in machine learning literature ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.