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 […]
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. […]
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. What are managers looking for in a Data Analyst and […]
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 […]
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 […]
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 […]
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 […]
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 […]
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. The ebook was created by Brian Liou, Tristan Tao and Elizabeth Lin. Brian and Tristan are Computer Science […]
I came across an upcoming book that might interest you. It is titled Bootstrapping Machine Learning by Louis Dorard, PhD. A 40-page sample is provided and I enjoyed it. I think the final book will be a valuable read. Louis takes the position that machine learning is commoditized to the point where if you are an application developer, you don’t need to […]
