A gentle introduction to K-means TLDR: K-means groups or partitions data points into “k” clusters. But what are clusters? They are nothing but a group… Read More »Clustering: Part 1, The Basics A gentle introduction to K-means
Anyone out of high school or with a GED can write a few lines of code and implement machine learning algorithms. It’s not a bad… Read More »Clustering: Part 2, Putting the “K” in K-Means
If you’re too young to realize where the title reference comes from, I’m gonna make you lose your mind. It has something to do with parties and rocks and anthems. Actually, no, I just want you to have a good time so I’ll instead ask you to take a look at the title picture. What did you notice?
I am back to the usual routine: morning coffee with Python, lunch with Machine Learning and dinner with Spark. If you are expecting me to talk about either one of these topics, you should stop reading because this week I am talking about Charlie Munger.
I usually speak to my Grandma on Thursdays. True to tradition, we did so this past week. As soon as she picked up the phone, she first asked me if I had eaten and only then if I was doing well. Ah Grandmas! I told her about the recent heatwave in Europe and how France recorded its highest temperature (EVER) on Friday. Sure, the temperature is an irrelevant detail for me to tell you, but, like Big Data, it is very relevant for the future of humanity! Anyways, we continued the rest of the conversation from where it had ended last week.
“You do not really understand something unless you can explain it to your grandmother.” We’ve all heard a variant of this quote, often credited to Albert Einstein. In technology circles, it implies the difficulty of explaining cutting edge advances to the layperson. This is the first of a series of posts in which I will try to explain concepts in Big Data as I understand them and as if I were at a dinner table explaining my understanding to my Grandmother.