Machine Learning

The Data Analytics Handbook: Data Analysts and Data Scientists

Last Updated on June 7, 2016 What is the difference between a Data Analyst and a Data Scientist and what type of work do they do all day? These questions and questions like them are answered in the new free ebook The Data Analytics Handbook: Data Analysts and Data Scientists. Cover of the The Data Analytics Handbook: Data Analysts and Data Scientists The ebook was created by Brian Liou, Tristan Tao and Elizabeth Lin. Brian and Tristan are Computer Science + Statistics grads and run the blog statsguys. Although […]

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Machine Learning

How to Get Started with Machine Learning in Python

Last Updated on August 21, 2019 The Python conference PyCon2014 has held recently and the videos for the conference are online. I have been working my way through the interesting machine learning ones and will share a few on this over the coming weeks. A great talk if you are starting out in data science or machine learning in python was given by Melanie Warrick titled How to Get Started with Machine Learning. It’s about 25 minutes long. The abstract […]

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Machine Learning

IPython from the shell to a book with a single tool with Fernando Perez

Last Updated on August 15, 2020 If you get serious with data analysis and machine learning in python then you will make good use of IPython notebooks. In this post we will review some takeaway points made by Fernando Perez, the creator of IPython in a keynote presentation at SciPy 2013. The title of the talk was IPython: from the shell to a book with a single tool; the method behind the madness. Kick-start your project with my new book Machine […]

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Machine Learning

The Seductive Trap of Black-Box Machine Learning

Last Updated on April 4, 2018 For as long as I have been participating in data mining and machine learning competitions, I have thought about automating my participation. Maybe it shows that I want to solve the problem of building the tool more than I want to solve the problem at hand. When working on a dataset, I typically spend a disproportionate amount of time thinking about algorithm tuning and running tuning experiments. I am prone to performing post-competition analysis […]

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Machine Learning

Best Programming Language for Machine Learning

Last Updated on September 27, 2016 A question I get asked a lot is: What is the best programming language for machine learning? I’ve replied to this question many times now it’s about time to explore this further in a blog post. Ultimately, the programming language you use for machine learning should consider your own requirements and predilections. No one can meaningfully address those concerns for you. No one can meaningfully address those concerns for you. What Languages Are Being Used Before […]

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Machine Learning

How to Layout and Manage Your Machine Learning Project

Last Updated on June 7, 2016 Project layout is critical for machine learning projects just as it is for software development projects. I think of it like language. A project layout organizes thoughts and gives you context for ideas just like knowing the names for things gives you the basis for thinking. In this post I want to highlight some considerations in the layout and management of your machine learning project. This is very much related to the goals of […]

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Machine Learning

The Data Analytics Handbook: CEOs and Managers

Last Updated on August 15, 2020 In a previous blog post we looked at the ebook of interviews with data analysts and data scientists put together by Liou, Tao and Lin. In this blog post we look at the second book in the series titled The Data Analytics Handbook CEOs and Managers. The Data Analytics Handbook CEOs and Managers What are managers looking for in a Data Analyst and a Data Science position, what skills do they require and how do […]

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Machine Learning

Lessons for Machine Learning from Econometrics

Last Updated on August 15, 2020 Hal Varian is the chief economist at Google and gave a talk to Electronic Support Group at EECS Department at the University of California at Berkeley in November 2013. The talk was titled Machine Learning and Econometrics and was really focused on what lessons the machine learning can take away from the field of Econometrics. Hal started out by summarizing a recent paper of his titled “Big Data: New Tricks for Econometrics” (PDF) which […]

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Machine Learning

Bootstrapping Machine Learning: Book Review

Last Updated on June 7, 2016 Louis Dorard has released his book titled Bootstrapping Machine Learning. It’s a book that provides a gentle introduction to the field of machine learning targeted at developers and start-ups with a focus on prediction APIs. I just finished reading this book and I want to share some my thoughts. If you are interested, I have already reviewed the sample Louis provides on his webpage that covers the first two chapters. Bootstrapping Machine Learning Overview […]

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Machine Learning

Machine Learning that Matters

Last Updated on September 5, 2016 Reading bootstrapping machine learning, Louis mentioned a paper that I had to go off and read. The title of the paper is Machine Learning that Matters (PDF) by Kiri Wagstaff from JPL and was published in 2012. Machine Learning that Matters Kiri’s thesis is that the machine learning research community has lost its way. She suggests that much of machine learning is done for machine learning’s sake. She points to three key problems: Overfocus on […]

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