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Overview
What you will study
You will study four topics in this End-to-End Machine Learning course offered by University of St Andrews . In three of those topics you will be engaging with worked examples of machine learning with a range of difficulty and scope. Advanced Python code is supplied and explained for the most advanced worked example. The remaining topic will introduce you to the machine learning landscape that reviews the terminology, concepts and performance metrics used in modern data science projects. The primary learning outcome for the course is the ability to manipulate data, fit models, summarise and display their results and performance, and objectively compare models prior to deployment.
Programme Structure
The program focuses on:
- finance (fraud prevention and credit decisions)
- healthcare (diagnostic and prognostic decisions)
- marketing (targeted ads and customer retention)
Key information
Duration
- Part-time
- 41 days
- 6 hrs/week
Start dates & application deadlines
- StartingApplication deadline not specified.
More details
End date: Sunday 17 August
Language
English
Delivered
Online
Campus Location
- St Andrews, United Kingdom
Disciplines
Machine Learning View 12 other Short Courses in Machine Learning in United KingdomWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Applicants do not need to be expert programmers but should be familiar with Python (notebooks, packages and basic data manipulation).
Technological requirements
- This code can be developed either using learners’ equipment (laptop, PC, etc.), or with cloud-based tools such as CoLab and Kaggle Notebooks, or by accessing and using the Jupyter hub provided by the University of St Andrews. A good internet connection is therefore more important than powerful computational equipment.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents1800 GBP / full≈ 1800 GBP / full -
Domestic Applies to you
Applies to youCitizens or residents1800 GBP / full≈ 1800 GBP / full
Additional Details
Book before 7 July to get access to the course for this discounted price.
Funding
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