Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what decision tree is & how it splits nodes. This week, we will build our supervised ...

They created a “periodic table” of over 20 classical machine-learning algorithms, showing how they are all connected through ...

Now that you have a solid foundation in Supervised ... the PCA algorithm. This week, we are working with clustering, one of the most popular unsupervised learning methods. Last week, we used PCA to ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, MIT researchers organized ...

This course offers students a practical introduction to using Machine Learning algorithms, tools, and techniques for solving problems that fall under the umbrella of Data Science. It is structured ...