Before machine learning algorithms became mature, many software application decisions were rule-based, consisting of a bunch of if and else statements to generate the appropriate response in exchange to some input data. A commonly cited example is a spam filter function in email inboxes. A mailbox may contain blacklisted words defined by a mail server administrator or owner. Incoming emails have their contents scanned against blacklisted words, and should the blacklist condition hold true, the mail is marked as spammed and sent to the Junk folder. As the nature of unwanted emails continues to evolve to avoid detection, spam filter mechanisms must also continuously update themselves to keep up with doing a better job. However, with machine learning, spam filters can automatically learn from past email data and, given an incoming email, calculate...
- Tech Categories
- Best Sellers
- New Releases
- Books
- Videos
- Audiobooks
Tech Categories Popular Audiobooks
- Articles
- Newsletters
- Free Learning
You're reading from Mastering Python for Finance. - Second Edition
James Ma Weiming is a software engineer based in Singapore. His studies and research are focused on financial technology, machine learning, data sciences, and computational finance. James started his career in financial services working with treasury fixed income and foreign exchange products, and fund distribution. His interests in derivatives led him to Chicago, where he worked with veteran traders of the Chicago Board of Trade to devise high-frequency, low-latency strategies to game the market. He holds an MS degree in finance from Illinois Tech's Stuart School of Business in the United States and a bachelor's degree in computer engineering from Nanyang Technological University.
Read more about James Ma Weiming
Unlock this book and the full library FREE for 7 days
Author (1)
James Ma Weiming is a software engineer based in Singapore. His studies and research are focused on financial technology, machine learning, data sciences, and computational finance. James started his career in financial services working with treasury fixed income and foreign exchange products, and fund distribution. His interests in derivatives led him to Chicago, where he worked with veteran traders of the Chicago Board of Trade to devise high-frequency, low-latency strategies to game the market. He holds an MS degree in finance from Illinois Tech's Stuart School of Business in the United States and a bachelor's degree in computer engineering from Nanyang Technological University.
Read more about James Ma Weiming