What will I learn?
- Introduction to Machine Learning
- Probability for Machine Learning
- Statistics for Machine Learning
- Generalisation Theory and the Bias-Variance Trade-Off
- Evaluating Predictive Performance
- Advanced Topics in Performance Evaluation
- Nearest Neighbour Methods
- Decision Trees Part 1 & 2
- Naïve Bayes
- Bayesian Optimisation
- Logistic Regression
- Support Vector Machines
- Unsupervised Learning
- Principal Component Analysis
- Introduction to Deep Learning
- Neural Networks
- Hyperparameters
- Transparency and Interpretability
- Convolutional Neural Networks
- Biological Basis for Convolutional Neural Networks
- Reinforcement Learning
- Hyperparameter Tuning
- Capstone Competition
Syllabus
The Professional Certificate in Machine Learning and Artificial Intelligence is designed to provide those looking to leverage their existing programming skills to advance into a machine learning role, along with those looking to implement machine learning and artificial intelligence within their organisation to automate or optimise processes.
What are the requirements?
There are no pre-requisites required for this course, but coding and intermediate math skills encouraged. For more information please read the course syllabus. Please make sure to visit the course website and apply for course admission after your Knoma Approval! This programme requires students to apply through Admissions- please apply through the Imperical College Business School Site.
Knoma's take
Emeritus
£3995 interest free loan from Knoma over 12 months