Siraj Raval explores the world of automated training with reinforcement learning with a few lines of Python code!

In this video, he demonstrates how a popular reinforcement learning technique called “Q learning” allows an agent to approximate prices for stocks in a portfolio. The literature of reinforcement learning is incredibly rich. There are so many concepts, like TD-Learning and Actor-Critic for example, that have real-world potential.

Yesterday, I was in Philadelphia presenting a session at AI Discovery Day on Computer Vision Cognitive Services.

The labs for this session are on GitHub: https://github.com/Azure/LearnAI-Bootcamp/tree/master/lab01.1-computer_vision

These events will be taking place across the US. Here are a few dates and links to registration.

Press the play button below to listen here or visit the show page at DataDriven.tv

 

If you’ve not heard the news, the first ever Azure AI Fest is happening in Reston this Friday and we are super excited to announce that Data Driven will be the official media sponsor. As such, we’ll be live streaming the keynote on our Facebook page.

Yesterday, I recorded a data point at the Frank’s World Monument in Germantown, MD. (It’s not actually called that, but I can dream.)

Press the play button below to listen here or visit the show page at DataDriven.tv

The vent is real. The sign is not. ;)

 


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.