Welcome to our post on enjoymachinelearning.com’s favorite data science books. This post features a proprietary EML ranking system that will give you a way to be confident when making a purchase. When I started with data science, I couldn’t stand…
Deep learning has taken the world by storm in recent years, and for a good reason – it is an incredibly powerful tool for teaching machines to perform complex tasks. However, deep learning as a subset of machine learning can…
When you think of data science, what comes to mind? For many people, when that question is asked, machine learning is the first thing they think about. However, data science is a much broader field than machine learning. This blog…
It’s no secret that data science and machine learning are two of the most in-demand skills right now. Choosing the correct tool for the job is vital if you’re looking to make a career change into one of these fields…
Bootstrapping is a resampling method that is used in machine learning. It is a widespread technique due to its flexibility since it does not require anything other than your training dataset (that I presume you already have). This blog will…
When most people think about artificial intelligence, they automatically assume some machine learning goes on. After all, how could you have an AI system without machine learning? But what if there was a way to create AI without machine learning? …
Epochs in machine learning can be confusing for newcomers. This guide will break down epochs and explain what they are, how they work, and why they’re important. We’ll also dive deep into Epochs’ relationship with Batch size and iterations. Deep…
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…