Hi everybody, In the last post, I depicted how to implement linear regression based on inverse matrix approach or normal equation using both Scikit-learn and TensorFlow libs. Though the approach gives us a concise answer, it cost the computational memory. The larger dataset is, the more computation need to be calculated. Thus, today, I would … Continue reading LINEAR REGRESSION (2) – NEURAL NETWORK APPROACH
Hi everybody, Today, I would like to talk about the linear model for regression task in this post. While you have seperate labels (which may be (0 and 1) or (-1 and 1)) in classification tasks, the outputs in regression are continuous (i.e. they are arbitrary numbers lie in particular ranges). On the other hand, … Continue reading LINEAR REGRESSION (1) – MATRIX INVERSE APPROACH
Hi everyone, Once I mention the concept of Machine Learning (ML) to my friends, who doesn't work in the discipline of technology or data science, at least one of them think that it may be related to some characters on sci-fi like The Terminator, Wall-E, or recently, Ultron. In fact, it is partly true, that … Continue reading MACHINE LEARNING – WHAT IS THE DATA TELLING YOU?