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 […]

Last Updated on August 15, 2020 It is valuable to get insight into how real people are getting started in machine learning. In this post you will discover how a beginner (just like you) got started and is making great progress in applying machine learning. I find interviews like this absolutely fascinating because of all of the things you can learn. I’m sure you will too. Use Small Projects To Get StartedPhoto by pixonomy, some rights reserved. Q. What resources did […]

Last Updated on September 5, 2016 Real-world examples make the abstract description of machine learning become concrete. In this post you will go on a tour of real world machine learning problems. You will see how machine learning can actually be used in fields like education, science, technology and medicine. Each machine learning problem listed also includes a link to the publicly available dataset. This means that if a particular concrete machine learning problem interest you, you can download the dataset and start […]

Last Updated on August 15, 2020 Do you want some tips and tricks that are useful in developing successful machine learning applications? This is the subject of a journal article from 2012 titled “A Few Useful Things to Know about Machine Learning” (PDF) by University of Washing professor Pedro Domingos. It’s an in interesting read with a great opening hook: developing successful machine learning applications requires a substantial amount of “black art” that is hard to find in textbooks This post summarizes the 12 […]

Last Updated on August 15, 2020 What are the basic concepts in machine learning? I found that the best way to discover and get a handle on the basic concepts in machine learning is to review the introduction chapters to machine learning textbooks and to watch the videos from the first model in online courses. Pedro Domingos is a lecturer and professor on machine learning at the University of Washing and author of a new book titled “The Master Algorithm: How the Quest […]

Last Updated on August 15, 2020 Tools are a big part of machine learning and choosing the right tool can be as important as working with the best algorithms. In this post you will take a closer look at machine learning tools. Discover why they are important and the types of tools that you could choose from. Machine Learning ToolsPhoto by Lachlan Donald, some rights reserved. Why Use Tools Machine learning tools make applied machine learning faster, easier and more fun. Faster: […]

Last Updated on June 7, 2016 Machine learning tools save you time by automating aspects of a machine learning project. There are platforms that you can use to work through a machine learning project end-to-end. There are also libraries that provide capabilities for one piece of a machine learning project. Using the right machine learning tools is as important as using the right machine learning algorithms. But there are so many machine learning tools to choose from. How do you know which tool to use? How do […]