Data Science vs. Artificial Intelligence vs. Machine Learning vs. Deep LearningData Science by Sunny Srinidhi - November 18, 2019December 19, 20190 It’s very common these days to come across these terms - data science, artificial intelligence, machine learning, deep learning, neural networks, and much more. But what do these buzzwords actually mean? And why should you care about one or the other? I’m trying to answer these questions in this post, to the best of my capacity. But then again, I’m no expert here. This is the knowledge I’ve gained in the last few years of my data science and machine learning journey. I’m sure most of you will have better and easier ways of explaining things than I do, so I’ll be looking forward to reading your comments down below. Let’s get started then. Data Science Data science is all about data,
Top Five Machine Learning courses for beginners on UdemyData Science by Sunny Srinidhi - November 18, 2019December 19, 20192 Everybody wants to do machine learning these days. Machine learning, data science, artificial intelligence, deep learning, neural network — these have become some of the most used phrases in the tech space today. I’m not saying it’s particularly bad, but it definitely gets scary for somebody who doesn’t really know what all this means but wants to get into the rat race. When you think about it, from a software developer’s point of view, these are just different types of software or applications you work on, but with more math involved. I know I’m oversimplifying what data science is, but for somebody who doesn’t have a mathematics or statistics background, it is very difficult to understand the jargon initially. I’ve been there,