Machine Learning
Get ready to dive deep into the world of Machine Learning, where algorithms meet creativity and innovation in a mind-blowing experience.
Location
Online
Refund Policy
About this event
This course walks you through the machine learning landscape—minus the usual jargon minefield. You’ll cover essential concepts like regression, clustering, and neural networks, without needing a PhD in algebra. It's machine learning in digestible, structured segments that actually make sense.
Each module focuses on one building block—from k-NN and Naive Bayes to dimensionality reduction and support vector machines. You’ll learn how models are built, evaluated, and improved. Whether you're working with data or just curious why algorithms seem to know your habits better than your mum—this course offers clear, logical explanations from start to finish.
Learning Outcomes:
- Understand key machine learning models and how they function.
- Differentiate between supervised and unsupervised learning techniques.
- Apply regression methods to interpret structured data patterns.
- Use clustering techniques to group and analyse similar data points.
- Evaluate machine learning models using standard metrics.
- Explore neural network basics and how they process input data.
Who is this Course For:
- Data analysts expanding into algorithm-based modelling.
- Software developers seeking structured ML foundations.
- Curious professionals exploring machine learning theory.
- Students in mathematics or computer science.
- Tech enthusiasts who enjoy predictive modelling.
- Entrepreneurs exploring automation in their platforms.
- Digital professionals working with customer data.
- IT consultants involved in data project planning.
Career Path:
- Machine Learning Engineer – £55,000/year
- Data Scientist – £52,000/year
- AI Research Analyst – £49,000/year
- Business Intelligence Developer – £44,500/year
- Algorithm Engineer – £51,000/year
- Quantitative Analyst – £50,000/year