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Overview
Key facts
Increased adoption of such technology across the world has driven massive growth in the volume of data, requiring businesses to harness the power of machine learning to make decisions, learn about and predict customer behaviour to drive strategic advantage.
Combining the fields of engineering, statistics, mathematics and computing, machine learning is one of the leading data science methodologies revolutionising business. London School of Economics and Political Science's Machine Learning in Practice course will cover a wide range of machine learning methods, both model-based and algorithmic. Presenting the theoretical foundations of these methodologies, you will have an opportunity to apply them using real-world examples and datasets.Computer seminars that enable you to practice your programming skills and a course project give you the opportunity to explore how machine learning can be used innovatively to solve pressing business challenges such as algorithmic trading in the financial industry, predicting customer behaviour, and improving compliance and risk management. By the end of the course, you will have developed the ability to understand how machine learning can be integrated into current business models and the challenges that this poses.Programme Structure
Courses include:
- Supervised and unsupervised learning
- Statistical inference and probability theory
- Linear regression and related methods
- Classification techniques, logistic regression and discriminant analysis
- Tree-based methods
- Graphical models and Markov graphs
Key information
Duration
- Full-time
- 3 days
Start dates & application deadlines
- StartingApply anytime.
Language
English
Credits
7 ECTS
Delivered
On Campus
Disciplines
Machine Learning View 37 other Short Courses in Machine Learning in United KingdomAcademic 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.
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at London School of Economics and Political Science and/or in United Kingdom, please visit Student Insurance Portal.
Other requirements
General requirements
This course is designed for students from various disciplines that use data to inform decision-making. It is suitable if you want an in-depth understanding of how machine learning can be integrated into modern business.You should also consider taking this course if you are targeting a career in IT, data science, marketing, research, consulting and business management. It is equally suited if you are a professional already working in industry, government, or research organisations, looking to develop your understanding of this rapidly developing field.
Tuition Fee
To always see correct tuition fees
-
International
2950 GBP/fullTuition FeeBased on the tuition of 2950 GBP for the full programme during 3 days. -
National
2950 GBP/fullTuition FeeBased on the tuition of 2950 GBP for the full programme during 3 days.
- Student rate: £2,950
- Standard rate: £3,950
Living costs for London
1137 - 2157 GBP /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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