Machine learning explores the study and construction of algorithms that can learn from and make predictions on data. Such algorithms operate by building a model from example inputs in order to make data-driven predictions or decisions, rather than following strictly static program instructions.
Machine learning is employed in a range of computing tasks where designing and programming explicit algorithms is infeasible e.g. spam filtering, optical character recognition (OCR), search engines and computer vision.
Offered through a cooperative relationship with TechAdvance IT Training Programs, courses are taught by instructors with substantial experience and expertise in leading IT fields.
Topics covered in this course include the following:
- Introduction to Python and related machine learning packages
- What is Machine Learning?
- Introduction to Algorithms
- Machine Learning Models
- Dimensionality Reduction
- Model Selection
- Supervised and Unsupervised Learning
- Neural Networks
- Anomaly Detection