Digital Method of the Month: Machine Learning
Hybrid
Have you seen a presentation on digital research methods and wondered if they are applicable to your work? Are you interested in learning new digital skills but unsure where to start?
This is the right place for you!
The digital method of the month meeting is a safe space to freely discuss the practicalities of learning and implementing a new digital skill in your research.
Each month, we select a method, and we have an honest and practical discussion on what it takes to learn and master it. How much time will it take to get the basics? What are the software options available? What are the most common pitfalls? Where can you find more info on the subject?
The method of this month is Machine Learning. Machine learning is a branch of artificial intelligence (AI) focused on building applications that learn from data and improve their accuracy over time without being programmed to do so. In machine learning, algorithms are 'trained' to find patterns and features in massive amounts of data to make decisions and predictions based on new data. During the meeting, we will briefly introduce the concept and discuss some of its real-world applications. Join us to learn more about it.
This conversation will be led by Somya Iqbal
After taking part in this event, you may decide that you need some further help in applying what you have learnt to your research. If so, you can book a Data Surgery meeting with one of our training fellows.
More details about Data Surgeries.
Those who have registered to take part will receive an email with full details on how to get ready for this course.
If you’re new to this training event format, or to CDCS training events in general, read more on what to expect from CDCS training. Here you will also find details of our cancellation and no-show policy, which applies to this event.
Level
This is a beginner-friendly session. No prior knowledge of the topic is required/expected, and the trainer will cover the basics of the method.
Learning Outcomes
To engage in discussions about the use of machine learning techniques
To have access to a source of information and online materials on machine learning
To understand where and when machine learning is a suitable method, as well as your own requirements for applying methods in this area
Skills
By attending this course, you will familiarise yourself with the following skills:
Understanding the uses and limitations of machine learning techniques
Applicability of machine learning methods based on task, performance and evaluation of available models
A clear understanding of machine learning method types, principles and vocabulary for further training
Explore More Training
- A Gentle Introduction to Causal Inference
- Data Analysis Workflow Design
- Digital Method of the Month. Statistics: How to pick the right method
- Explainable Machine Learning (XAI)
- Foundations of Machine Learning
- Getting Started with Bayesian Statistics
- Getting Started with Data Analysis in Python
- Getting Started with Regression in R
- Linear Mixed Effects Modelling
Return to the Training Homepage to see other available events
Room 4.35, Edinburgh Futures Institute
This room is on Level 4, in the North East side of the building.
When you enter via the level 2 East entrance on Middle Meadow Walk, the room will be on the 4th floor straight ahead.
When you enter via the level 2 North entrance on Lauriston Place underneath the clock tower, the room will be on the 4th floor to your left.
When you enter via the level 0 South entrance on Porters Walk (opposite Tribe Yoga), the room will be on the 4th floor to your right.
