Recorded 06 May 2020
Machine Learning and AI: Core Methods and Applications
Learn how artificial intelligence (AI) and machine learning are revolutionizing financial services — this course will introduce key concepts and illustrate the role of machine learning, data science techniques, and AI through examples and case studies from the investment industry. The presentation uses simple mathematics and basic statistics to provide an intuitive understanding of machine learning, as used by financial firms, to augment traditional investment decision making.
This deep-dive session discusses core methods and applications to provide an understanding of supervised and unsupervised machine learning. Participants will be introduced to advanced topics that include time series analysis, reinforcement learning, anomaly detection, and natural language processing. Case studies will also examine how to predict interest rates and credit risk with alternative data sets and how to analyze earning calls from EDGAR using Natural Language Processing Techniques.
Hands-on demos and slides presented by Sri are available here: https://academy.qusandbox.com/#/register. Use ‘CFAMasterClass’ as Registration code.
Watch part 1 of this webinar, Machine Learning and AI: An intuitive introduction, recorded on 29 April 2020 for additional insights from Sri Krishnamurthy, CFA.
This is an archived recording of a live webinar that took place on 6 May 2020.
About the Speaker(s)
Founder of QuantUniversity, a data and quantitative analysis company. He has more than 20 years of experience in analytics, quantitative analysis, statistical modeling, and designing large-scale applications. Previously, Mr. Krishnamurthy has worked for Citigroup, Endeca, and MathWorks and has consulted with more than 25 customers in the financial services and energy industries. He has trained more than 1,000 students in quantitative methods, analytics, and big data in the industry and at Babson College, Northeastern University, and Hult International Business School, many of whom work in quant and data science roles at financial services firms. Mr. Krishnamurthy earned an MS in computer systems engineering and an MS in computer science from Northeastern University and an MBA with a focus on investments from Babson College.