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Explore Experience Excel MACHINE LEARNING AND AI FOR FINANCIAL PROFESSIONALS PRESENTED AND QUANTUNIVERSITY https mlinfinance splashthat com
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QUANTUNIVERSITY TABLE OF CONTENTS 01 02 05 06 07 08 09 About Foundations of Machine Learning and AI for Financial Professionals Testimonials Faculty Other Course Offerings Registration Information and Contact Details
QUANTUNIVERSITY ABOUT QuantUniversity www quantuniversity com is a quantitative analytics and machine learning advisory based in Boston Massachusetts QuantUniversity runs various data science and machine learning workshops focused on the Financial Services Industry in various cities in PUBLIC North America and Europe and online through www qu academy The RELATIONS company offers an Analytics Certificate Program and the Fintech John D Rockefeller Don t be afraidin to give the good Certificate program along with multiple workshops itsup Exploreto go for the great Experience Excel series Contact us at info qusandbox com EXPLORE EXPERIENCE EXCEL Introductory courses Advanced thematic Guided Hands on geared towards courses geared towards project based professionals getting professionals who have experiential learning into Data science completed the Explore to emulate real world and Machine series or have scenarios Learning work academic experience 1
MACHINE LEARNING AND AI FOR FINANCIAL PROFESSIONALS Dates On Demand Number of Sessions Duration per session 9 1 5 Delivery Online through www QuAcademy com with Video Demos Case studies Labs COURSE DETAILS You will learn Role of Machine Learning and AI in Financial services When do we use Machine learning and AI techniques What are the key machine learning methodologies How do you choose an algorithm for a specific goal Practical Case studies with fully functional code Who should attend Fundamental and quantitative analysts risk and investment professionals portfolio managers new to data science and machine learning Financial professionals new to data driven methodologies Machine learning enthusiasts interested in use cases in fintech and financial organizations Prerequisites This course incorporates hands on labs and case studies Participants are expected to have fundamental knowledge of Python Pre class reading will be sent to all registered participants 2
MACHINE LEARNING AND AI FOR FINANCIAL PROFESSIONALS Session 1 Module 1 Machine Learning and AI An intuitive Introduction 1 5 hours Machine Learning vs Statistics How has the world changed A tour of Machine Learning and AI methods Supervised Learning Vs Unsupervised Learning Deep Learning Reinforcement Learning Key drivers influencing the adoption of Machine Learning and AI Big Data Hardware Fintech AI Alternative Data Key applications Credit risk Personalization Predicting risk Portfolio optimization and selection Key Players Technology companies Data vendors Banks Fintech startups Session 2 Module 2 Exploratory data analysis 1 5 hours Session 3 Module 3 Unsupervised Learning Dimension reduction and visualizing Exploring and Visualizing large datasets datasets using PCA T SNE The Visualization zoo Manifold Learning A framework to decide how to chart Case study Visualizing high datasets dimensional Datasets Examples on how to build powerful dashboards Case study 1 Visualizing Categorial Numerical Cross sectional and Time series Financial datasets 3
MACHINE LEARNING AND AI FOR FINANCIAL PROFESSIONALS Session 4 Session 5 MODULE 4 Unsupervised Learning MODULE 5 Supervised Learning Clustering Techniques Learn from the past How does Supervised Distance measures machine learning work K means Cross sectional data Hierarchical Clustering Time series analysis Affinity Propagation Case study 2 Using K means for automatic clustering of stocks Regression Random Forests and Neural Networks Evaluating machine learning algorithms Case study 3 Predicting interest rates and credit risk using Alternative data sets Session 6 Session 7 MODULE 6 Neural Networks Synthetic MODULE 7 Natural Language Processing Data Generation Making sense of Text and Natural Introduction to Neural Networks and Language Processing Deep Neural Networks Sentiment Analysis How to interpret Case study 4 Synthetic Data sentiments and use it in stock Generation for VIX Scenarios selection Case study 5 Analyzing Earning calls using text analytics 4
MACHINE LEARNING AND AI FOR FINANCIAL PROFESSIONALS Session 8 MODULE 8 Frontier topics Key issues in adopting AI and Machine learning into investment workflows How will Machine Learning and AI change the investment industry Frontier topics Anomaly detection Reinforcement learning Quantum Computing Risk in Machine Learning and AI Model governance Interpretability and Model Management Session 9 CAPSTONE PROJECT Project presentations Virtual Certificate Ceremony 5
TESTIMONIALS Sri really went the extra mile to give participants an intuitive understanding to all the concepts and techniques covered this is seen in both the quality of the slides the Collab notebooks prepared and the video based delivery of the course lectures and case studies Sri is always very thoughtful about structuring courses and the delivery is always clear For instance the Machine Learning Workflow an excellent visual in my view was something he referenced regularly along the way illustrating in an effective manner how the different pieces fit together and also keeping us oriented as the course progressed I really loved the huge amount of videos examples and exercises provided in the course Furthermore I liked the accessibility of them The examples of applications of the around the clock so that I could concepts in the world of Finance adapt the learning to my working which is something which comes to schedule mind at first This is missing from other courses The concept of labs in this course are very good since it helps to start off with the coding of concepts 6
FACULTY Sri Krishnamurthy CFA CAP is the founder of www QuantUniversity com a Data and Quantitative Analysis Company specializing in large scale Machine Learning and AI solutions Prior to starting QuantUniversity Sri has worked at Citigroup Endeca MathWorks and with more than 25 customers in the financial services and energy industries He has trained more than 10 000 students in quantitative methods analytics and big data in the industry and at Babson College Northeastern University and Hult International Business School Sri earned an MS in Computer Systems Engineering and another MS in Computer Science both from Northeastern University and an MBA with a focus on Investments from Babson College Sri serves on the steering committee of QWAFAFEW and is a reviewer of the Journal of Asset Management 7
QUANTUNIVERSITY OTHER COURSE OFFERINGS DURATION 52 weeks COST Contact info qusandbox com for more information Machine Learning AI for Financial Professionals Certificate EXPLORE Machine Learning and AI in Finance Fundamentals 32 units 1 Just enough Python for Data Science 4 units 2 Quantitative and Statistical Methods for Data Science 4 units 3 Optimization Methods in Finance 4 units 4 Data Analytics with Tableau for Financial Professionals 8 units 5 Machine Learning and for Financial Professionals 8 units 6 Risk and Ethics in Machine Learning AI 4 units EXPERIENCE Advanced Machine Learning AI in Finance Tracks 12 units Machine Learning Modeling Specialization AI ML Risk Management Specialization Fintech Specialization Machine Learning in Asset Management 4 units Deep Learning Reinforcement Learning in Finance 4 units Anomaly Detection and Outlier Analysis 4 units Synthetic Data Generation 4 units Model Risk Management for AI ML Models 4 units AI Governance 4 units Explainability and Interpretability 4 Units Production ready Machine Learning 4 units Fintech the 8 Facets 8 units Business Models in Fintech 4 units EXCEL www quantuniversity com Capstone Project 8 units info qusandbox com 8
REGISTRATION INFORMATION SCAN TO REGISTER https bit ly 2EBH9ZX Machine Learning and AI CONTACT US QuantUniversity quantUniversity quantuniversity Info qusandbox com 9