Articles About Machine Learning

Build a Machine Learning Portfolio

Last Updated on September 27, 2016 Complete Small Focused Projects and Demonstrate Your Skills A portfolio is typically used by designers and artists to show examples of prior work to prospective clients and employers. Design, art and photography are examples where the work product is creative and empirical, where telling someone you can do it is not valued the same as showing them. In this post, I will convince you that building a machine learning portfolio has value to you, […]

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Work on Machine Learning Problems That Matter To You

Last Updated on September 27, 2016 It is difficult to stay motivated when self-studying machine learning. The standard test datasets can be quite obtuse and disconnected from you and from your everyday life. Boring even. A trick that you might like to use is to find and work on a dataset that matters to you. In this post, we will look at some ideas for datasets that you could use to motivate and even accelerate your journey into applied machine learning. […]

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Machine Learning for Money

Last Updated on September 27, 2016 A question I get asked a lot is: How can I make money with machine learning? You can get a job with your machine learning skills as a machine learning engineer, data analyst or data scientist. That is the goal of a great many people that contact me. There are also other options. In this post, I want to highlight some of those other options and try to get your gears turning. There are […]

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How I Got Started In Machine Learning

Last Updated on June 10, 2019 I get a lot of emails asking about how I got interested in machine learning and about my background. I don’t think my story is special or interesting, but I’m happy to share it and honored I’m asked. This post feels a little self-indulgent. I figure it can be the definitive version of my story that I can use to answer similar inquiries in the future. The lessons that I point to underly much […]

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Computer Hardware for Machine Learning

Last Updated on June 7, 2016 A question that comes up from time to time is: What hardware do I need to practice machine learning? There was a time when I was a student when I was obsessed with more speed and more cores so I could run my algorithms faster and for longer. I have changed my perspective. Big hardware still matters, but only after you have considered a bunch of other factors. TRS 80!Photo by blakespot, some rights […]

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The Best Machine Learning Algorithm

Last Updated on August 12, 2019 What is the best machine learning algorithm? I get this question a lot. Maybe even daily. Sometimes it’s a general question. I figure people want to make sure they are learning the one true machine learning algorithm and not wasting their time on anything less. Most other times it is with regard to a specific problem. I think it’s a very good question, a very telling question. It tells me straight away that a […]

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Machine Learning Algorithm Recipes in scikit-learn

Last Updated on August 21, 2019 You have to get your hands dirty. You can read all of the blog posts and watch all the videos in the world, but you’re not actually going to start really get machine learning until you start practicing. The scikit-learn Python library is very easy to get up and running. Nevertheless I see a lot of hesitation from beginners looking get started. In this blog post I want to give a few very simple […]

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Prepare Data for Machine Learning in Python with Pandas

Last Updated on August 15, 2020 If you are using the Python stack for studying and applying machine learning, then the library that you will want to use for data analysis and data manipulation is Pandas. This post gives you a quick introduction to the Pandas library and point you in the right direction for getting started. Kick-start your project with my new book Machine Learning Mastery With Python, including step-by-step tutorials and the Python source code files for all […]

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Quick and Dirty Data Analysis with Pandas

Last Updated on January 28, 2020 Before you can select and prepare your data for modeling, you need to understand what you’ve got to start with. If you’re a using the Python stack for machine learning, a library that you can use to better understand your data is Pandas. In this post you will discover some quick and dirty recipes for Pandas to improve the understanding of your data in terms of it’s structure, distribution and relationships. Kick-start your project […]

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Practical Advice for Getting Started in Machine Learning

Last Updated on August 16, 2020 David Mimno is an assistant professor in the Information Sciences department at Cornell University. He has a background and interest in Natural Language Processing (NLP), specifically topic modeling. Notably, he is the chief maintainer of MALLET, the Java-based NLP library. I recently came across a blog post by David titled “Advice for students of machine learning“. This is a great post and includes similar advice that I give to programmers and coaching students. It’s […]

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