Siraj Raval breaks down 7 ways that anyone can earn money from anywhere in the world using machine learning. We”ll start by taking a look at whats called the “AI Value Chain” to learn who is currently making money in machine learning so that we can better chart out where we can contribute to the space. From startups, to competitions, to writing books, he covers a lot of material in this one video.

Interpreting what neural networks are doing is a tricky problem. In fact, they are often referred to as a “black box.”

In this video Arxiv dives into the approach of feature visualization. From simple neuron excitation to the Deep Visualization Toolbox and the Google DeepDream project.

Watch to open up that black box!


I’ll be speaking at the first ever Reston AI Fest on Sept 7, 2018 in Reston, VA. In the morning, I will deliver a session on the different kinds of machine learning and, in the afternoon, I will co-proctor a lab that goes th

rough the four stages of an predictive modeling project.

Seating is limited, so save your seat today at http://bit.ly/restonai

If that’s not enough to convince you, then let my VFX ninja skills impress you into signing up. 😉

One of the questions I get asked most frequently is how I so quickly changed from a “plain old software engineer” to “certified Data Scientist” as quickly as I did. While I do plan to write a book/shoot a video on the topic. In the meantime, enjoy this video from Siraj Raval where he shows the techniques he uses to study machine learning. It’s a fast moving field with lots of crazy math, so the old ways of learning just won’t cut it.

That includes living a healthy lifestyles, optimizing your learning environment, creating a personalized learning path, prioritizing effectively, and being an active learner. He demos the FAST technique, which you can use to help learn faster and more efficiently. While this with made with machine learning technology in mind, but these techniques can be used for any field.