One of the hardest barriers to break is the requirement of a degree to obtain a job in AI. Here are some ways to break that barrier!

AI professionals are only as good as the libraries they can leverage so let’s take a look at some of the most popular ones!

When it comes to convolutional neural networks, architecture matters. These are some best practices when it comes to building a good one!

Ever wonder how much math you really need for a career in AI? Let’s take a look!

How Convolutional Neural Networks can be used to classify images, most importantly, images of cats!

Ever wonder how a neural network learns? Let’s take a look!

One of the most common deep learning models is the Multilayer Perceptron. Let’s take a closer look at it!

With all the attention around artificial intelligence sometimes it’s hard to know what anyone actually means when they say AI. Let’s fix that!

Version control, branches, and collaboration. Let’s take a look at why Git is one of the most widely used pieces of software in the development environment.

It’s not all about just presenting your findings. How you deliver those findings can be just as important and storytelling can help!

Ask this question to 5 different data scientists and you will get 5 different answers. This is my take on what Data Science is.

So much of your hard work can go unnoticed or unappreciated if you don’t focus on this one skill- Presenting! Let’s take a look at how to make it better.

Part two of virtual environments! Let’s see what else they can do for us!

Tutorial Hell can be a very hard place to escape. I know, I’ve been there and I found a good way to get out.

Tired of dependency conflicts? Virtual environments can help! Let’s take a look at two different ways of managing your development environment.

While machine learning is important to know, sometimes its good to make sure you know the basics.

Lack of experience is tough to overcome but there is a way to ease that pain. Projects!

The number one thing people seem to overlook and under prepare for is the interview. Let’s change that.