Deep Learning intuition for a business user
Deep Learning is one of the exciting & fast growing fields within data science. One question that practicing data scientists regularly face from business users is - "What is Deep Learning and how is it different from the traditional data science algorithms that some companies have already been using for some time". Let's tackle the latter question first using an example - one of the more standard datasets used to teach in the industry - MNIST (a hand written digit dataset). I
Keep it Simple!! — How to simplify understanding of algorithms like Gradient Descent
When I first started out learning about machine learning algorithms, it turned out to be quite a task to gain an intuition of what the algorithms are doing. Not just because it was difficult to understand all the mathematical theory and notations, but it was also plain boring. When I turned to online tutorials for answers, I could again only see equations or high level explanations without going through the detail in a majority of the cases. It was then that one of my data sc
Advantage DeepLearningTrack
One of the common questions we get is - "Why can we not learn data science in platforms like Coursera or youtube?" Both of them are possible. However, the above statement misses out the evaluation of the return obtained on invested time. RoI on time is critical - especially in data science field, as one is better off joining data science industry sooner than later and hence learn data science faster than others. We have put in hundreds of hours of our time to: Organize the co
