Today, we'll build an end to end machine learning application from scratch. To do this, we'll walk you through the process of collecting data, training a deep learning model, building a Dash application, putting everything in Docker and deploying to AWS. ... (more…)

How to apply Continuous Delivery to build Machine Learning applications... (more…)

Contribute to 360er0/awesome-lego-machine-learning development by creating an account on GitHub. (more…)

Much advocacy of Haskell, in general, boils down to type-safety and elimination of bugs. How boring. My personal experience is that bugs are trickier in Haskell and I can write bad code in an extraordinary variety of ways. I don’t code in Haskell to help ... (more…)

In the field of machine learning, training data preparation is one of the most important and time-consuming tasks. In fact, many data scientists claim that a large portion of data science is pre-processing and some studies have shown that the quality of y... (more…)