Fintech: AI & ML in the Financial Industry
Explore the intersection of finance and machine learning to gain insight into the ways in which AI is transforming the future of financial services.
Description for Fintech: AI & ML in the Financial Industry
Emerging Fintech Domains: Investigate emerging fintech domains, including the democratization of trading and investments, robo-advising, and crowdfunding.
Fundamentals of Machine Learning: An introduction to the concepts of machine learning and the application of machine learning algorithms in financial applications.
Application in Financial Products: Illustrates how machine learning is employed by large financial institutions and fintech businesses to improve financial products.
Machine Learning in Fintech: Concentrates on the application of machine learning in the financial sector to enhance and innovate services.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On edX provided by UTAustinX
Duration: 5�6 hours per week approx 4 weeks
Schedule: Flexible
Pricing for Fintech: AI & ML in the Financial Industry
Use Cases for Fintech: AI & ML in the Financial Industry
FAQs for Fintech: AI & ML in the Financial Industry
Reviews for Fintech: AI & ML in the Financial Industry
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Fintech: AI & ML in the Financial Industry
Featured Tools
Begin Your Professional Journey in Data Engineering. Proficient in the development and execution of data solutions that leverage Microsoft Azure data services.
This program instructs instructors on the ethical and successful integration of AI, while promoting innovation and critical thinking among students.
Examine the development and deployment of interactive Python data applications, with a particular emphasis on Recommender Systems and the use of Python web frameworks to deploy and monitor machine learning models.
The goal of this course is to provide professionals with the necessary data science abilities in MATLAB so that they can carry out practical activities in businesses that rely heavily on data without having to learn extensive programming.
Using the complete machine learning pipeline in computer vision, this course teaches students how to use MATLAB for object detection and classification in images.