Machine Learning - Linear and Logistic Regression -

#artificialintelligence 

I recently took Andrew Ng's Machine Learning course on Coursera, and I'm hoping to write a series of blog posts on what I learnt. In these we will look at a variety of machine learning techniques and categories, starting with linear and logistic regression. Machine learning is something of a buzzword at the moment, but underneath all the hype it's a technology that's expected to revolutionise virtually all industries, and have a huge impact on people's lives in the coming decades. Machine learning problems can be split into supervised learning and unsupervised learning. Supervised learning works by giving the algorithm the "right answers", which are used to train the algorithm so that it can fit and predict when given new examples.

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