Machine learning is a very powerful skill. And machine learning is a valuable skill. According to Glassdoor, the average salary for a machine learning engineer is about $127,000 in early 2021. If you already know some Python, then upskilling to add machine learning to your skill set could increase your earning power a lot. The … Read more
This tutorial will quickly explain the difference between regression vs classification in machine learning. I’ll explain what regression is, what classification is, and then compare them so you can understand the difference. If you want to understand something specific, you can click on any of these links. They’ll take you to the proper section in … Read more
In this article, I’ll explain supervised vs unsupervised learning. The tutorial will start by discussing some foundational concepts and then it will explain supervised and unsupervised learning separately, in more detail. If you need something specific, just click on the link. The following links will take you to specific sections of the article. Table of … Read more
In this article, I’ll give you a quick introduction to machine learning. Here’s a quick table of contents that will give you an overview of the article. If you want to read about something specific, just click on the link and it will take you to that section of the tutorial. Table of Contents: WTF … Read more
Linear regression. It’s a technique that almost every data scientist needs to know. Although machine learning and artificial intelligence have developed much more sophisticated techniques, linear regression is still a tried-and-true staple of data science ….
Recently, a Sharp Sight blog reader emailed me and asked for advice about data science prerequisites. He was nervous about math. Someone had told him that in order to study data science, he needed to learn a long list of math topics first: Precalculus Calculus Multi variable calculus Trigonometry Linear algebra Differential equations Statistics Although … Read more
The world has just entered one of the biggest transitions in history. That’s the contention of two MIT economists, Eric Brynjolfsson and Andrew McAfee. In their recent book, The Second Machine Age, they argue that big data, computation, and innovation are changing our economy and institutions with a magnitude greater than almost anything ever seen … Read more
A few weeks ago, an acquaintance told me that he was interested in getting started with machine learning. He’s a web developer who primarily works in Ruby and Python, but also has a small amount of experience with R. Day-to-day, his work is run-of-the-mill web development, and he’s confessed to me that he’s a bit … Read more
In my last article, I stated that for practitioners (as opposed to theorists), the real prerequisite for machine learning is data analysis, not math. One of the main reasons for making this statement, is that data scientists spend an inordinate amount of time on data analysis. The traditional statement is that data scientists “spend 80% … Read more
When beginners get started with machine learning, the inevitable question is “what are the prerequisites? What do I need to know to get started?” And once they start researching, beginners frequently find well-intentioned but disheartening advice, like the following: You need to master math. You need all of the following: – Calculus – Differential equations … Read more