Summary: The best training sessions gather information on the audience before and after by using a survey. There are no surprises in the class because handouts detail everything that is taught. Lastly, analogies are used and students participate in order to cement the knowledge.
Summary: Kaggle competitors spend their time exploring the data, building training set samples to build their models on representative data, explore data leaks, and use tools like Python, R, XGBoost, and Multi-Level Models.
Summary: R offers a handful of packages to automate building models. rpart, randomForest, MASS, and forecast packages help you search through a hypothesis space. The caret package helps crawl through the hyper parameter space.
Summary: The passcode riddle asks for three three whole positive numbers with each one being equal to or larger than the next. Turns out there are only a handful of numbers this could possibly work for. Browsing YouTube one morning, I came across the video from TED-Ed and I was intrigued! I’ll be honest, I […]
Summary: Data can be processed in parallel by using multiple threads on a single CPU or by passing code to the data in systems like the Hadoop Distributed File System. Imagine you’re driving your car on the way to work. You keep an eye on the road ahead, the side mirrors, the rearview mirror, and […]
