Machine Learning for Financial Services

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Janani Ravi

1:50:54

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01. Course Overview

01. Course Overview.mp4

01:58

02. Exploring Applications of Machine Learning in Financial Services

02. Prerequisites and Course Outline.mp4

01:51

03. Data and Analytics Trends in Finance.mp4

06:04

04. Use Cases of ML in Finance-Investment Predictions.mp4

04:36

05. Use Cases of ML in Finance-Loan Automation.mp4

03:02

06. Use Cases of ML in Finance-Process Automation.mp4

03:57

07. Use Cases of ML in Finance-Robo Advisors.mp4

02:54

08. Use Cases of ML in Finance-Fraud Detection.mp4

02:52

09. Recurrent Neural Networks for Financial Data.mp4

06:42

10. Challenges of ML in Finance.mp4

06:13

03. Case Study-Quantifying Risk and Return of Investment Opportunities

11. Managing Portfolio Risk.mp4

02:09

12. Modeling Returns and Risk.mp4

07:24

13. Stock Correlation Prediction-Background and Context.mp4

04:21

14. Stock Correlation Prediction-Proposed Hybrid Model.mp4

03:57

15. Stock Correlation Coefficient Prediction-Methodology and Results.mp4

06:13

04. Case Study-Extracting Insights for Fraud Detection

16. Fraud Detection-Background and Context.mp4

05:59

17. Fraud Detection-Transaction Features and Customer Features.mp4

02:12

18. Fraud Detection-Snorkel Labeling.mp4

03:45

19. Fraud Detection-Methodology and Results.mp4

06:57

05. Applying Machine Learning Techniques to Financial Data

20. Classification Use Cases.mp4

01:32

21. Accuracy Precision and Recall.mp4

04:42

22. Demo-Fraud Detection - Data Exploration and Preparation Part I.mp4

05:07

23. Demo-Fraud Detection - Data Exploration and Preparation Part II.mp4

06:29

24. Demo-Fraud Detection - Classification Models.mp4

04:54

25. Demo-Fraud Detection - ROC Curves and AUC.mp4

03:45

26. Summary Resources Used and Further Study.mp4

01:19

Description

This course will explore the conceptual aspects of applying machine learning to problems in the financial services industry and discuss case studies of machine learning used in financial services.

What You'll Learn?

Analytical and statistical models are already an integral part of the finance industry and the use of machine learning builds on a strong foundation in this industry. The financial services industry is uniquely positioned to leverage machine learning because of the vast quantities of high-quality data already available.

In this course, Machine Learning for Financial Services, you will explore machine learning techniques currently applied in the financial services industry. First, you will look at some examples and cases of where ML is already being used in financial services - for investment predictions, loan automation, process automation, and fraud detection. Then, you will develop an intuitive understanding of how recurrent neural networks

Next, you will explore two ML case studies from research papers - the first focusing on assessing and quantifying the return on investment and the second exploring how classification and clustering models can help detect money laundering.

Finally, you will get hands-on coding and see how you can use a classification model for fraud detection on a synthetically generated dataset.

When you are finished with this course, you will have the awareness of how machine learning can be applied in the financial services industry and hands-on experience working with financial data.

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Machine Learning

Personal Finance

Financial Modeling

Janani Ravi

Instructor's Courses

Janani has a Masters degree from Stanford and worked for 7+ years at Google. She was one of the original engineers on Google Docs and holds 4 patents for its real-time collaborative editing framework. After spending years working in tech in the Bay Area, New York, and Singapore at companies such as Microsoft, Google, and Flipkart, Janani finally decided to combine her love for technology with her passion for teaching. She is now the co-founder of Loonycorn, a content studio focused on providing high-quality content for technical skill development. Loonycorn is working on developing an engine (patent filed) to automate animations for presentations and educational content.

Pluralsight

View courses Pluralsight

Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.