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Overview
In particular, students study the design, development and analysis of software and hardware used to solve problems in a variety of business, scientific and social contexts.
During this Data Science and Machine Learning - The Fundamentals at the University of Warwick, students will study techniques for how to go from raw data to a deeper understanding of the patterns and structures within the data, to support making predictions and decision making.
Learning Outcomes
By the end of the module, the student should be able to:
- Understand the basic mathematical models for large data sets.
- Understand the principles and purposes of data analytics, and articulate the different dimensions of the area.
- Work with and manipulate a data set to extract statistics and features, coping with missing and dirty data.
- Apply basic data mining machine learning techniques to build a classifier or regression model, and predict values for new examples.
Programme Structure
The course will cover a number of topics, including:
- Data Science and Machine Learning: motivating successful analytic examples (Walmart, Google, and Twitter), introducing Supervised, Unsupervised, and Reinforcement Learning, measuring performance / regret, fundamental limits (the No-Free-Lunch-Theorem and Bias)
- Probability recap, e.g., sample spaces, random variables, distributions, heavy-tails, quantiles, Q-Q plots, Bayes, correlation
- Statistics recap, e.g., hypothesis testing, chi-square distributions, density estimation (MoM and MLEs), confidence intervals and application to voting
- Stochastic bandits as a fundamental example of Reinforcement Learning: naïve Explore-then-Exploit strategy and UCB bounds
Audience
Key information
Duration
- Full-time
- 21 days
Start dates & application deadlines
We did our best, but couldn't find the next application deadline and start date information online.
Language
English
Credits
3 alternative credits
3-4 credits (US) 7.5 ECTS points (EU)
Delivered
On Campus
Campus Location
- Coventry, United Kingdom
Disciplines
Data Science & Big Data Machine Learning View 22 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
- This course is open to students studying any discipline at University level provided they have basic knowledge of linear algebra and calculus.
- We welcome individuals from all backgrounds, including students who are currently studying another subject but who want to broaden their knowledge in another discipline.
- Students should also meet our standard entry requirements and must be aged 18 or over by the time the Summer School commences and have a good understanding of the English language.
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-residents3300 GBP / full≈ 3300 GBP / full -
Domestic Applies to you
Applies to youCitizens or residents3300 GBP / full≈ 3300 GBP / full
Additional Details
For any students in full-time education at any University or College worldwide: £2460
Living costs
Coventry
United Kingdom
656 - 1057 GBP / month
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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