Machine learning is an iterative process rather than a linear process that requires each step to be revisited as more is learned about the problem under investigation. This iterative process can require using many different tools, programs and scripts for each process. A machine learning workbench is a platform or environment that supports and facilitates […]
Implementing a machine learning algorithm in code can teach you a lot about the algorithm and how it works. In this post you will learn how to be effective at implementing machine learning algorithms and how to maximize your learning from these projects. Let’s get started. Benefits of Implementing Machine Learning Algorithms You can use […]
There are many paths into the field of machine learning and most start with theory. If you are a programmer then you already have the skills to decompose problems into their constituent parts and to prototype small projects in order to learn new technologies, libraries and methods. These are important skills for any professional programmer […]
Bojan Miletic asked a question about outlier detection in datasets when working with machine learning algorithms. This post is in answer to his question. If you have a question about machine learning, sign-up to the newsletter and reply to an email or use the contact form and ask, I will answer your question and may […]
Once you have defined your problem and prepared your data you need to apply machine learning algorithms to the data in order to solve your problem. You can spend a lot of time choosing, running and tuning algorithms. You want to make sure you are using your time effectively to get closer to your goal. […]
Programmers should get involved in the field of machine learning because they are uniquely skilled to make huge contributions. In this post you will learn that as a programmer it can be easy to overlook the skills you have and overvalue those things you don’t know. You will learn about four opportunities for programmers to […]
There are lots of things you can do to learn about machine learning. There are resources like books and courses you can follow, competitions you can enter and tools you can use. In this post I want to put some structure around these activities and suggest a loose ordering of what to tackle when in […]
This was a really hard post to write because I want it to be really valuable. I sat down with a blank page and asked the really hard question of what are the very best libraries, courses, papers and books I would recommend to an absolute beginner in the field of Machine Learning. I really […]
What is Machine Learning? We can read authoritative definitions of machine learning, but really, machine learning is defined by the problem being solved. Therefore the best way to understand machine learning is to look at some example problems. In this post we will first look at some well known and understood examples of machine learning […]
