Financial Technology (Fintech) Innovations Specialization
In an extensive AI course, you will study blockchain technology, credit score evaluation, astute investment techniques, and the mastery of payment technologies.
Description for Financial Technology (Fintech) Innovations Specialization
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 22
Offered by: On Coursera provided by University of Michigan
Duration: 1 month at 10 hours a week
Schedule: Flexible
Pricing for Financial Technology (Fintech) Innovations Specialization
Use Cases for Financial Technology (Fintech) Innovations Specialization
FAQs for Financial Technology (Fintech) Innovations Specialization
Reviews for Financial Technology (Fintech) Innovations Specialization
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Financial Technology (Fintech) Innovations Specialization
Featured Tools
Gain practical experience in optimizing, deploying, and scaling machine learning models using Google Cloud Platform through a structured five-course specialization with hands-on labs and a focus on advanced topics and recommendation systems.
Learn how to develop AI agents using RAG and LangChain, as well as how to integrate sophisticated AI technologies.
This course concentrates on the fundamentals of machine learning, including decision trees, k-nearest neighbors, and support vector machines. It addresses data preparation and production challenges and requires a rudimentary understanding of Python, linear algebra, and statistics.
The purpose of this course is to provide students with the opportunity to develop practical, cloud-based machine learning skills. It focuses on the use of Apache Spark to teach logistic regression modeling on Google Cloud.
Learn fundamental machine learning principles, including K nearest neighbor, linear regression, and model analysis, with prerequisites of Python programming and basic mathematics.