Last Updated on June 7, 2016 Online communities are invaluable in machine learning, regardless of your skill level. The reason is that, like programming, you never stop learning. You simply cannot know everything, there are always new algorithms, new data and new combinations to discover and practice. Communities help. You can get your questions answered, learn by answering other peoples questions and discover new areas from reading through the exchanges. Machine learning communities have had a big impact on my […]

Last Updated on June 7, 2016 Data Origami is a new website by Cameron Davidson-Pilon that provides data science screencasts. It is a cool idea and a cool site. Cameron was kind enough to give me access to the site so that I could review it. I watched all of the videos I could and wrote up all my notes, and in this post you will get a sneak peek into Cameron’s new site Data Origami. Data Origami Logo Data […]

Last Updated on September 29, 2016 Are you a Java programmer and looking to get started or practice machine learning? Writing programs that make use of machine learning is the best way to learn machine learning. You can write the algorithms yourself from scratch, but you can make a lot more progress if you leverage an existing open source library. In this post you will discover the major platforms and open source machine learning libraries you can use in Java. […]

Last Updated on June 7, 2016 There are a lot of blogs and videos on machine learning and more being created every day, week and month. If you are working or at school, it can feel overwhelming to keep up with some much material. Worse, you feel like you will be at some great disadvantage if you do miss something. In this post you will learn how subscribing to machine learning and data science newsletters can save you time and […]

Last Updated on August 15, 2020 The book Applied Predictive Modeling teaches practical machine learning theory with code examples in R. It is an excellent book and highly recommended to machine learning practitioners and users of R for machine learning. In this post you will discover the benefits of this book and how it can help you become a better machine predictive modeler. About the Book Applied Predictive Modeling is written by Max Kuhn and Kjell Johnson. Max Kuhn is […]

Last Updated on August 16, 2020 You want to learn machine learning or data science. You might want a job or the opportunity to get a job in machine learning or data science. Alternatively, you might be a student or in a data role and looking to accelerate your learning in the area. If you think your only options are to get a PhD or to read an academic textbook, think again. This post is for you. You have a […]

Last Updated on August 16, 2020 O’Reilly books have a reputation for being practical, hands on and useful. Specifically the nutshell books and so-called animal books. O’Reilly have a few new books out in time for the holidays on the topic of machine learning. I don’t want to bore you with reviews, Amazon has plenty of those. In this post we take a quick look at these new machine learning books and see what might be worth reading in the holiday […]

Last Updated on September 5, 2016 In November 2014, Bernhard Scholkopf was awarded the Milner Award by the Royal Society for his contributions to machine learning. In accepting the award, he gave a layman’s presentation of his work on statistical and causal machine learning methods titled “Statistical and causal approaches to machine learning“. It’s an excellent one hour talk and I highly recommend that you watch it. Statistical Learning On the statistical side, Scholkopf talks about empirical inference and generalisation. An interesting and motivating point he makes early […]

Last Updated on August 16, 2020 Programmers learn by implementing techniques from scratch. It is a type of learning that is perhaps slower than other types of learning, but fuller in that all of the micro decisions involved become intimate. The implementation is owned from head to tail. In this post we take a close look at Joel Grus popular book “Data Science from Scratch: First Principles with Python“. I recently finished reading the paperback version and I think it […]

Machine learning podcasts are now a thing. There are now enough of us interested in this obscure geeky topic that there are podcasts dedicated to chatting about the ins and outs of predictive modeling. There has never been a better time to get started and working in this amazing field. In this post, I want to share the 5 podcasts on machine learning and data science that I listen to. Let’s dive in. Overview Here’s the short list of machine […]