Deep Learning, NLP, NMT, AI, ML
Last Updated on August 16, 2020 It is good practice to have reproducible outcomes in software projects. It might even be standard practice by now, I hope it is. You can take any developer off the street and they should be able to follow your process to check out the code base from revision control and make a build of the software ready to use. Even better if you have a procedure for setting up an environment and for releasing […]
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Last Updated on August 16, 2020 When I’m asked about resources for big data, I typically recommend people watch Peter Norvig’s Big Data tech talk to Facebook Engineering from 2009. It’s fantastic because he’s a great communicator and clearly and presents the deceptively simple thesis of big data in this video. In this blog post I summarize this video for you into cliff notes you can review. Essentially, all models are wrong, but some are useful. Quote by George Box. […]
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Last Updated on August 15, 2020 The question of how to learn a machine learning algorithm has come up a few times on the email list. In this post I’ll share with you the strategy I have been using for years to learn and build up a structured description of an algorithm in a step-by-step manner that I can add to, refine and refer back to again and again. I even used it to write a book. This was just […]
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Last Updated on December 18, 2016 Practitioners of practical subjects can suffer from math envy. This is where they think that mathematicians are smarter than they are and that they cannot excel in a subject until they “know the math”. I have seen this first hand, and I have seen it stop people from getting started. In this post, I want to convince you that you can get started and make great progress in machine learning without being strong in […]
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Last Updated on April 21, 2018 I have seen people that think that they need to get a degree in machine learning. I am all for degrees, I just don’t think they are for everyone. I also know that you can get started in machine learning and go far without a degree. In this post I will convince you that you do not need to get a degree in machine learning to get started or make progress in the field […]
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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 […]
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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 […]
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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 […]
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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 […]
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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 […]
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