In the ever-evolving realm of data science and machine learning, the right tools are paramount to unleashing the full potential of innovation and discovery. At the heart of this technological frontier lies the processor—a critical component that serves as the…
There’s a lot of talk about data science and its prerequisites – what one needs to know to break in and become a data scientist. And rightfully so, given that the field is exploding with opportunities (and high salaries). But…
I remember when I first decided that I wanted to learn data science. I was fresh out of college and working a job as an engineer that I wasn’t in love with. I knew I wanted a change, but I…
Data science is one of the most influential and in-demand fields there is. While data scientists need to have a strong background in applied math and statistics, they also need to be able to program. Programming is a crucial knack…
Do you want to ace your next interview for a machine-learning role? If so, then you’ll probably need to practice with LeetCode. LeetCode is a website where you can practice coding questions for interviews. It is also a great place…
It’s a common misconception during model building that your goal is about getting the perfect, most accurate model on your training data. In reality, this is often not the case. Creating a model that knows the training data too well…
Data is the heart and soul of machine learning. Without data, data scientists cannot create impactful machine-learning algorithms (duh). While this seems pretty standard, the type of data makes a huge difference when trying to perform data analysis. And sometimes, when we…
Machine learning is a vast and complex field that covers many different concepts. While there is some jargon to get up and running in machine learning, some of the ideas behind this jargon are very simple. This guide will focus…
Machine learning is a vast and complex field that has inherited many terms from other places all over the mathematical domain. It can sometimes be challenging to get your head around all the different terminologies, never mind trying to understand…