Artificial Intelligence and Deep Learning in Finance (Technical Course)
3 Foundational Courses
Financial Analytics with Python
Introduction to Classical Machine Learning
Foundations of Neural Networks
5 Electives Courses
Courses
5 Electives Courses
Computer Vision
Sequence Classification (Time Series, Speech and Text)
Natural Language Programming (NLP)
Reinforcement Learning (Reward maximisation)
Generative Deep Learning (Unsupervised, Creativity and Art)
Courses
Foundational Courses
Financial Analytics with Python
Python and Jupyter Notebook
Data preparation, preprocessing and munging with Numpy and Pandas
Visualisation with Matplotlib, Seaborn
Intro to Classical Machine Learning
AI, Machine Learning and Deep Learning
Quick review of Analytics
Supervised Machine Learning
Unsupervised Machine Learning
Ensemble Machine Learning
Foundations of Neural Network
What is Deep Learning
Building blocks of deep learning
Getting started with deep learning
Fundamentals of ML
- Evaluation of ML models
- Data preprocessing, feature engineering
- Overfitting and underfitting
- Model evaluation, regularise and tune
Electives
Computer Vision
Course Description to come
Use Cases
- Insurance underwriting
- Document and text recognition
- Facial recognition / security
Sequence Classification
Course Description to come
Use Cases
- Sales projections
- Products and services demand load forecast
- Provide timely insights to customers and management
- Time series forecasting
- Speech and Text generations
Language Processing
Course Description to come
Use Cases
- Personal Assistance / Customer service / chatbot
- Insurance underwriting
- Risk management
- Sentiment Analysis
Reinforcement Learning
Course Description to come
Use Cases
- Self driving car
- Wealth management
- Order Placements
Generative Deep Learning
Course Description to come
Use Cases
- Text Generation with LSTM
- Deep Dream
- Neural Style Transfer
- Generative Images with Variational Autoencoders for generative images / denoising / deep portfolios
- Generative Adversarial Networks (GAN)