Certificate Program in Machine Learning For Finance (CPMLF)
- Offered byIndian Institute of Quantitative Finance
Certificate Program in Machine Learning For Finance (CPMLF) at Indian Institute of Quantitative Finance Overview
Duration | 4 months |
Start from | Start Now |
Total fee | ₹98,000 |
Mode of learning | Online |
Official Website | Go to Website |
Credential | Certificate |
Certificate Program in Machine Learning For Finance (CPMLF) at Indian Institute of Quantitative Finance Highlights
- Earn a certificate after completion of course from Indian Institute of Quantitative Finance
Certificate Program in Machine Learning For Finance (CPMLF) at Indian Institute of Quantitative Finance Course details
Individuals in investment banking, asset management, or financial services looking to leverage machine learning for enhanced decision-making
Professionals focused on data analysis who want to apply machine learning techniques specifically to financial datasets
Overview of machine learning concepts, algorithms, and frameworks
Understanding the role of machine learning in finance and investment strategies
Techniques for data collection, cleaning, and preprocessing
Understanding market microstructure and execution strategies
Techniques for credit scoring and portfolio risk evaluation
The Certificate Program in Machine Learning for Finance (CPMLF) is designed to provide participants with a comprehensive understanding of how machine learning techniques can be applied to solve complex financial problems
This program combines theoretical knowledge with practical applications, equipping students with the skills needed to leverage data-driven insights in the finance industry
Program Schedule
Saturdays and Sundays
Program Timing
4:00 PM to 8:00 PM IST (UTC +5:30)
Certificate Program in Machine Learning For Finance (CPMLF) at Indian Institute of Quantitative Finance Curriculum
Applied Mathematics for ML
Statistical & Probability Theory & Applications
Linear Algebra & Matrix Vectorized Operations
Differential Calculus
ML Supervised Learning Methods
ML Model Hyper-Parameter Tuning & K-Fold Cross Validation
Machine Learning Model Optimization, Performance Evaluation & Model Explainibility
ML Quantitative Validation Tests
ML Un-Supervised Learning Methods
Unsupervised & Semi-Supervised Learning
Statistical & ML Driven Clustering & Association - Hierarchal Clustering & Discriminant Analysis, K-Means Clustering, K-Nearest Neighbors (KNN)
ML Deep Learning Methods
Deep Learning - Neural Network (DNN) Intro
Multi Layer Perceptron (MLP)
Artificial Neural Network (ANN)
ML Natural Language Models (NLP)
Unstructured Data Sets & Transformations
ML Driven Textual & Speech Processing
ML Driven Document Classification
Capstone Project
BFSI application project supervised by a BFSI SME expert industry mentor