Machine Learning
Get ready to dive deep into the world of Machine Learning, where algorithms meet creativity and innovation!
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Online
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About this event
Master Machine Learning theory and techniques to build smarter systems and automate decisions with data—100% online, no coding background needed.
Overview:
Machine Learning is reshaping how data is interpreted, decisions are made, and predictions are formed across nearly every sector. This course takes a straightforward yet rigorous approach to teaching core machine learning methods, including supervised, unsupervised, and reinforcement learning. It blends statistical intuition with technical theory to help you understand not just the “how” but the “why” behind algorithms and model decisions.
Whether you're aiming to improve business forecasting, automate processes, or simply navigate the ever-growing field of artificial intelligence, this course will give you the necessary theoretical foundation. You’ll explore neural networks, decision trees, clustering techniques, model evaluation metrics, and more—all within a logical structure that respects your time and your goals.
Learning Outcomes:
- Understand the key types of machine learning models and tasks
- Identify and explain supervised and unsupervised learning algorithms
- Interpret overfitting, underfitting, and model validation techniques
- Use regression and classification concepts for pattern recognition
- Evaluate models using accuracy, precision, and recall methods
- Explore neural networks and their application in prediction models
Who is this Course For:
- Analysts seeking to upgrade their data-driven decision-making
- Graduates aiming to specialise in machine learning theory
- Developers wanting a deeper understanding of AI fundamentals
- Professionals shifting into data or analytics-focused industries
- Researchers applying machine learning to academic investigations
- Economists or statisticians exploring algorithmic prediction models
- Business leaders interested in predictive data applications
- IT consultants expanding their algorithmic modelling expertise
Career Path :
- Machine Learning Engineer – £55,000 per year
- Data Scientist – £50,000 per year
- AI Research Scientist – £60,000 per year
- Quantitative Analyst – £57,000 per year
- Data Analyst (ML-focused) – £42,000 per year
- Computer Vision Specialist – £62,000 per year
Frequently asked questions
Machine Learning is a type of artificial intelligence that enables computers to learn from data and improve their performance without being explicitly programmed.
Basic knowledge of programming, especially Python, is helpful but not mandatory for beginners.
Machine Learning is used in voice assistants, recommendation systems, fraud detection, image recognition, and more.
Machine Learning is a subset of AI focused on enabling systems to learn from data, while AI includes broader concepts like reasoning, planning, and decision-making.