In this online data science specialization, you will apply machine ... learning, you will review linear and logistic regression, KNN, decision trees, ensembling methods, and kernel methods. Next, you ...

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

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

Specifically, the paper introduces a machine learning-based framework to optimize demand response programs. Using data from nearly 5,000 households in London, four clustering algorithms—K-means ...

The second part of the course deals with more advanced machine learning methods including regression and classification trees, random forests, bagging, boosting, deep neural networks, k-means ...