Statistics: Machine Learning from a Regression Perspective

<p>The digital revolution has made it possible to collect vast amounts of data - but how can we make sense of it and use it wisely? In this course, you’ll learn the fundamentals of machine learning, a powerful tool for analysing and drawing conclusions from large datasets.</p><p>Machine learning is about building models that improve as they receive more data - they learn from experience. This technology is used everywhere: from predicting customer behaviour in shops to optimising online advert pricing. In this course, you’ll get an introduction to machine learning, with a focus on methods based on regression analysis.</p><p>You’ll learn about:</p><ul><li>classification using logistic regression</li><li>model selection using information criteria and cross-validation</li><li>shrinkage methods such as lasso and ridge regression</li><li>dimensionality reduction using principal component analysis and partial regression</li><li>the basics of neural networks.</li></ul>