What if I’m Not a Good Programmer

Last Updated on November 8, 2018 Programming is a part of machine learning, but machine learning is much larger than just programming. In this post you will learn that you do not have to be a programmer to get started in machine learning or find solutions to complex problems. Programming Machine Learning Machine learning algorithms are implemented in code. Programmers like implementing algorithms themselves to really understand how an algorithm works. This can also be required to get the most […]

September 29, 2020 Machine Learning

Applied Machine Learning is a Meritocracy

Last Updated on June 14, 2019 When making a start in a new field it is common to feel overwhelmed. You may lack confidence or feel as though you are not good enough or that you are lacking some prerequisite. You will explore these issues in this post and learn that such feelings can lead to actions that can consume a lot of time and resources and leave you feeling disappointed in yourself. You will learn that there are many […]

September 29, 2020 Machine Learning

How to Implement a Machine Learning Algorithm

Last Updated on August 12, 2019 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. Kick-start your project with my new book Master Machine Learning Algorithms, including step-by-step tutorials and the Excel Spreadsheet files for all examples. Let’s get started. Photo by Maura McDonnell, some rights […]

September 29, 2020 Machine Learning

6 Practical Books for Beginning Machine Learning

Last Updated on August 16, 2020 There are a lot of good books on machine learning, but most people buy the wrong ones. A question I get asked the most is what books should people buy to get stared in machine learning. My answer to beginners is: “don’t buy textbooks“. In this post I want to point out a few key books that are aimed at beginners that you should buy (and read!) if you are just starting out. I […]

September 29, 2020 Machine Learning

5 Mistakes Programmers Make when Starting in Machine Learning

Last Updated on June 18, 2016 There is no right way to get into machine learning. We all learn slightly different ways and have different objectives of what we want to do with or for machine learning. A common goal is to get productive with machine learning quickly. If that is your goal then this post highlights five common mistakes programmers make on the path to quickly being productive machine learning practitioners. Mistakes Programmers Make when Starting in Machine LearningPhoto […]

September 29, 2020 Machine Learning

How to get the most from Machine Learning Books and Courses

Last Updated on September 29, 2016 There are a lot of machine learning books and courses available and a trend towards free university courses and ebooks. With so much excellent resources available it can feel overwhelming. So much so that it may prevent you from getting started or making progress. In this post I want to share with you my tips for self study that allow me to touch a resource once, extract everything I think I can learn from […]

September 29, 2020 Machine Learning

What is the Weka Machine Learning Workbench

Last Updated on August 16, 2020 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 a range of machine learning activities reducing or removing the need for multiple tools. Some statistical and machine learning […]

September 29, 2020 Machine Learning

Why you should be Spot-Checking Algorithms on your Machine Learning Problems

Last Updated on August 16, 2020 Spot-checking algorithms is about getting a quick assessment of a bunch of different algorithms on your machine learning problem so that you know what algorithms to focus on and what to discard. Photo by withassociates, some rights reserved In this post you will discover the 3 benefits of spot-checking algorithms, 5 tips for spot-checking on your next problem and the top 10 most popular data mining algorithms that you could use in your suite […]

September 29, 2020 Machine Learning

Applied Machine Learning Process

Last Updated on July 5, 2019 The Systematic Process For Working Through Predictive Modeling ProblemsThat Delivers Above Average Results Over time, working on applied machine learning problems you develop a pattern or process for quickly getting to good robust results. Once developed, you can use this process again and again on project after project. The more robust and developed your process, the faster you can get to reliable results. In this post, I want to share with you the skeleton […]

September 29, 2020 Machine Learning

How to Run Your First Classifier in Weka

Last Updated on August 22, 2019 Weka makes learning applied machine learning easy, efficient, and fun. It is a GUI tool that allows you to load datasets, run algorithms and design and run experiments with results statistically robust enough to publish. I recommend Weka to beginners in machine learning because it lets them focus on learning the process of applied machine learning rather than getting bogged down by the mathematics and the programming — those can come later. In this post, I want […]

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