Machine Learning in Finance
Training Provider: NANYANG TECHNOLOGICAL UNIVERSITY
Course Reference: TGS-2026066277
S$1,500
Original: S$5,000
Save S$3,500
About This Course
This course covers essential machine learning techniques in finance. The emphasis is placed on the financial applications and how can they transform the finance industry. This course will cover supervised learning, unsupervised learning, deep learning, and reinforcement learning. This course will also train the learner's soft skills through the group project on realistic data analysis problem.
Learners will also understand the data analysis and machine learning techniques that drive financial innovations and how they will evolve in the future.
What You'll Learn
Course Content:
1. Overview of Machine Learning in Finance
2. Supervised Learning I: K-Nearest Neighbours (KNN) and Error Types
3. Supervised Learning II: Regression and its Variations
4. Supervised Learning III: Decision Trees and Ensemble Methods
5. Supervised Learning IV: Support Vector Machines
6. Unsupervised Learning I: Clustering and Dimension Reduction
7. Unsupervised Learning II: Kalman Filter and Hidden Markov Model
8. Deep Learning I: Feedforward Neural Networks
9. Deep Learning II: Long Short-Term Memory
10. Reinforcement Learning
1. Overview of Machine Learning in Finance
2. Supervised Learning I: K-Nearest Neighbours (KNN) and Error Types
3. Supervised Learning II: Regression and its Variations
4. Supervised Learning III: Decision Trees and Ensemble Methods
5. Supervised Learning IV: Support Vector Machines
6. Unsupervised Learning I: Clustering and Dimension Reduction
7. Unsupervised Learning II: Kalman Filter and Hidden Markov Model
8. Deep Learning I: Feedforward Neural Networks
9. Deep Learning II: Long Short-Term Memory
10. Reinforcement Learning
Entry Requirements
Good bachelor degree in a quantitative field such as Computer Science, Engineering etc.
Course Details
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