Blog
Practical advice to make an impact with Machine Learning
Automating the Data Scientist
What is a Data Scientist? What is it that they do that is now being automated? What are the new solutions out there that are bringing Data Science directly to domain experts? What is it changing?
Building a business around Machine Learning APIs
Is it possible to build a business around Prediction APIs such as Google's or BigML's? And if so, how can you differentiate yourself from others who could use just the same APIs?
When Machine Learning fails
Machine Learning has been used successfully in so many apps that you'd think you can use it to predict just about anything you want. Unfortunately, that's not the case. If you have an idea that relies on ML, it pays to have an understanding of why ML doesn't work all the time, and to use that understanding to reflect on potential issues while working on that idea.