Gooey confusion

Sudden news: Have to go to the US for approximately 2 weeks, so any previously planned progress will probably be impeded. US trip: 23 Dec to 6 Jan (15 days) For the past few days: most work is focused on Andrew Ng's Machine Learning Course. So far, the area of Machine Learning focused on is "Supervised Learning", which (I guess) arguably is the part which contains simpler algorithms as opposed to "Unsupervised Learning". There was a heavy emphasis on regression, especially linear regression, and the associated cost function. The cost function is denoted as J( Θ), where  Θ is a vector of the associated features (or factors affecting) of the function. The purpose of the cost function is to measure how much the data points deviates from the line of regression. To determine the equation of the regression line, also called the hypothesis function h( Θ ), one of the methods used is to use "Gradient Descent", there was a lot of details describing t...

or blog*. Unfunny jokes aside, this blog is simply created to document our progress in whatever we are doing on our way to accomplish something productive. And "blob" sounds cute doesn't it. A decision has been made to dedicate proportionally more time and effort into exploring the mysteries of AI (Artificial Intelligence), hence the name.. geek. And geek sounds cute too. We will also include random content of other areas that we are interested in, maybe hobbies, music or travelling stuff. Ok so here's the plan: *********** AI (MAIN FOCUS) Learn it from Andrew Ng Learn it from Siraj's recommended sources Udacity Deep Learning Nanodegree Program learnpython.org Python Mini Degree - Zenva Academy CodeCademy Entrepreneurship Develop ideas for the Household Management App & Service. Register a company and get official regular income Source for entrepreneur mentorship Travelling Planning to go Hokkaido during the next CNY period Life suck...