Intermediate End-to-End Machine Learning, Certificate | Part time online | University of St Andrews | United Kingdom
41 days
Duration
1525 GBP/full
1525 GBP/full
Unknown
Tuition fee
Unknown
Unknown
Apply date
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Start date

About

This Intermediate End-to-End Machine Learning course offered by University of St Andrews is aimed at professionals with a high level of numeracy who are seeking to understand the core concepts, methods, and technologies that underpin modern machine learning. 

Visit the Visit programme website for more information

Overview

What you will study

This Intermediate End-to-End Machine Learning course offered by University of St Andrews is a self-paced online learning short course with lecture content, interactive elements, and access to a masterclass with the course leader after completion of the course. New content for the course will be released each. 

Advanced Python code is supplied and explained for each topic. Your key learning outcomes are to determine what models are applicable for different data and objectives, and to conduct hyperparameter-tuning or model-selection as appropriate to the model. 

Programme Structure

The program focuses on:

  • Classification explains how best to predict discrete classes (for example, accept or reject credit applications).
  • The methods used to solve the core optimisation problem: which variant of a class of models has the least error?
  • Trees & Random Forests explores how tree models can be derived, extended and deployed to produce models with validated estimates of performance on new data instances.
  • Dimensionality Reduction covers the rationale for and methods applicable to reducing the number of features used in predictive machine learning models.
  • Unsupervised Learning considers how to learn and deploy models for which there is no target variable.

Key information

Duration

  • Part-time
    • 41 days
    • 6 hrs/week

Start dates & application deadlines

Language

English

Delivered

Online
  • Self-paced

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

  • The course is aimed at professionals with a high level of numeracy who are seeking to understand the core concepts, methods and technologies that underpin modern machine learning. 
  • This course is suitable for those who are competent in programming using Python (including notebooks, packages, data manipulation, design and use of pipelines, model evaluation functions) but are not expert programmers.

Technological requirements

  • A good internet connection is more important than powerful computational equipment. 

Tuition Fee

To always see correct tuition fees
  • International

    1525 GBP/full
    Tuition Fee
    Based on the tuition of 1525 GBP for the full programme during 41 days.
  • National

    1525 GBP/full
    Tuition Fee
    Based on the tuition of 1525 GBP for the full programme during 41 days.

Funding

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