Machine Learning Introduction: My three favorite resources

My three favorite introductory resources to Machine Learning “Machine Learning” Coursera course by Andrew Ng (link) This is the canonical best introduction to machine learning. It’s recommended by most and is a top choice for introduction to ML even in some FAANG some companies. The course covers supervised learning (including linear regression and logistic regression…

Understanding Dimensions – Linear, Logistic Regression

In the forums of the Coursera course “Machine Learning” by Andrew Ng, there are many questions regarding the dimensions of the input matrix and theta. Here is an intuitive guide to understanding the dimensions. Click the link below! Understanding-Dimensions-Linear-Logistic-Regression.pdf In Summary:    The dimensions of your input matrix (X) is typically clear and driven from…