Predictive Analytics and Machine Learning
Machine learning concerns the study and application of algorithms and statistics in order to get machines to solve new problems that haven’t previously occurred, and then to ‘learn’ these problems and solve them in the future, should they return.
On this module, learners can expect an overview of the mathematical foundations of machine learning and its workflow. You will also learn about predictive analysis as this is the basis of machine learning.
You will learn by completing technical exercises and collaborating with fellow students on projects.
- Module from the Postgraduate Certificate in Data Science
- Accreditation: CPD - Continuing Professional Development
- Duration: 10 weeks, 1 evening class per week
- Mode of Study: Live evening online classes
- Intake Dates: 15 September
- Tuition Fees: £990
(Flexible payment plans and group discounts available)
Differences between Data Science, Artificial Intelligence, Machine Learning, Deep Learning
Types of machine learning
ML lifecycle and design (obtain – clean – train – score – predict)
ML Mathematical and statistical method overview: regression, k-means, trees and forests
Python notebooks and libraries
General mathematical background. Notions of statistics, probabilities and algebra.
Basic understanding of computations Optional: familiarity with coding (python or R) Optional: Professional experience in management, finance, IT or other
Fluency in English
Personal Computer with minimum:
Intel Atom® processor or Intel® Core™ i3 processor
4GB Disk space
Operating systems: Windows* 7, macOS, Linux
*This course is planned to run in September. However, it is subject to student demand. For more information, speak to one of our advisors on: +44 (0) 20 3435 4644.
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