This is the fifth post in my series of machine learning best practices. Hyperparameters are the algorithm options one "turns and tunes" when building a learning model. Hyperparameters cannot be learned using that algorithm. So, these parameters need to be assigned before training of the model. A lot of manual
This is the fourth post in my series of 10 machine learning best practices. It’s common to build models on historical training data and then apply the model to new data to make decisions. This process is called model deployment or scoring. I often hear data scientists say, “It took
I hate my title, but I’m going to stick with it. In spite of it, I hope I can encourage you to pay attention to the current automation revolution and actively contribute to augmention-fueled innovation. If everyone understands those terms and actively tries to stay on top of how they
