In an upcoming screencast I’m doing with O’Reilly I’ll be discussing what reinforcement learning is and how it applies. I figured I’d give you all a little behind the scenes look. Here’s a quick intro in 8 slides:
After a year and a half of working with Clickfunnels, I’ve decided to focus on my own business.
Considering the customer base has grown exponentially and the app runs on a substantial amount of hardware, I’m pleased we were able to reduce the database size multiple times – reducing it by over 244GB in one instance!
What am I doing next?
I juggled my full-time position at Clickfunnels alongside the launch my second book, Thoughtful Machine Learning with Python, and the start of my first-ever Safari course, A Practical Introduction to Machine Learning.
Both experiences taught me that I love to teach other engineers learn how to solve problems with data. As a response to my book and classes, I built a video course on how to start a machine learning project – minus higher math knowledge. Check it out if you’re serious about becoming an expert on machine learning.
I also found out high-growth startups want to pursue data science project, but don’t often know what projects to pursue, or have the resources for a full-time data person.
Therefore, I created a new offering called Your Chief Scientist, which supports engineering teams over a 3-month period with their data projects, ranging from database performance to deep learning.
If you or someone you know is:
- Concerned about the size of your database and the server costs.
- Excited about machine learning only to get confused with how it can apply to your job.
- Afraid of missing out on the possibilities of Deep Learning.
- Excited about learning how to write code that optimizes itself.
Then we should talk.
Regardless, feel free to e-mail me at matt [at] matthewkirk.com or to reach out to me on twitter. I’d love to hear from you.