Last Updated on July 5, 2019 Where can you get good datasets to practice machine learning? Datasets that are real-world so that they are interesting and relevant, although small enough for you to review in Excel and work through on your desktop. In this post you will discover a database of high-quality, real-world, and well understood machine learning datasets that you can use to practice applied machine learning. This database is called the UCI machine learning repository and you can use […]

Last Updated on August 15, 2020 Get Started And Avoid Getting The Wrong Advice Machine learning is a fascinating and powerful field of study filled with algorithms and data. The thing is, there are so many different types of people interested in machine learning, and each has different needs. It is important to understand what it is you want from machine learning and to tailor your self-study to those needs. If you don’t, you could very easily go down the rabbit […]

Last Updated on July 22, 2020 When you’re an absolute beginner it can be very confusing. Frustratingly so. Even ideas that seem so simple in retrospect are alien when you first encounter them. There’s a whole new language to learn. I recently received this question: So using the iris exercise as an example if I were to pluck a flower from my garden how would I use the algorithm to predict what it is? It’s a great question. In this post I […]

Last Updated on June 7, 2016 I get daily emails asking the question: How do I get started in machine learning? This post provides my quick answer. Here is my long answer. So here is how to get started in machine learning, the quick version. Practice Creating Predictive Models You’re interested in machine learning but you’re not sure of the specific outcome you’re looking for. Maybe you’re interested in learning more about machine learning algorithms. Maybe you’re interested in creating predictions. […]

Last Updated on August 15, 2020 Getting started in machine learning can be frustrating. There’s so much to learn that it feels overwhelming. So much so that many developers interested in machine learning never get started. The idea of creating models on ad hoc datasets and entering a Kaggle competition sounds exciting a far off goal. So how did a Philosophy graduate get started in machine learning? In this post I interview Brian Thomas. Brian got started in machine learning using a top-down approach of actually practicing applied […]