Ryan Swanstrom

Blog

  • Building Data Science Skills as an Undergraduate

    While there are a growing number of universities that offer undergraduate data science degrees, for one reason or another those programs may not be perfect for everyone interested in data science. So, what do you do if you attend a school that does not offer a data science degree? This is a question frequently asked… Read more

  • Quora Answers by Monica Rogati

    Monica Rogati, a legend in the data science space, recently provided some answers on Quora that are sheer internet gold. Quora Answers by Monica Rogati She answers questions involving: What is a data science advisor? Challenges of Building a data science team? Characteristics of a good data scientist? and more They are filled with great… Read more

  • Get me Sum ‘dat Big Data

    I teach data science courses thoughout the US. I enjoying asking attendees why they are in class. I get many good answers, but occassionally I get some funny answers. Here is a story with one of the more humorous answers. While chatting with an attendee before class, I asked why he chose to attend this… Read more

  • Best Practices for Machine Learning Engineering

    Martin Zinkevich, Research Scientist at Google, just compiled a large list (43 to be exact) of best practices for building machine learning systems. Rules of Machine Learning: Best Practices for ML Engineering If you do data engineering or are involved with building data science systems, this document is worth a look. Read more

  • You Want Data Science, Now What?

    I am often confronted by people or organizations whom have heard about data science but don’t know where to start. It is a valid concern. Data science is a broad topic with different meanings to different people. Here are the common questions I hear. Should I hire a data scientist? Should I hire some consultants?… Read more

  • TensorKart and Neural Networks for MarioKart

    Kevin Hughes used TensorFlow to train a Neural Network to play MarioKart. He calls it TensorKart. See his post for more details. It is a nice blog post and sounds like a fun project.Sorry, the video has no sound. Read more

  • Julia for Data Science Book

    Today brings us a very welcome guest post by Zacharias Voulgaris, author of Julia for Data Science. This is an excellent new book about the Julia language. By reading it you will learn about: IDEs for using Julia Basics of the Julia language Accessing and exploring data Machine learning Advanced data science techniques with Julia… Read more

  • Georgia Tech Masters in Analytics for Less than $10k

    Georgia Tech University just announced a new online master’s degree in Analytics. Georgia Tech Creates First Online Master of Science in Analytics Degree for Less Than $10,000 The degree will begin in August 2017 and will be fully online. It will offer 3 tracks: Big Data Analytical Tools Business Analytics (coming at a later date) Read more

  • Deep Learning Summer School 2016 Videos

    Deep Learning Summer School, Montreal 2016 is aimed at graduate students and industrial engineers and researchers who already have some basic knowledge of machine learning (and possibly but not necessarily of deep learning) and wish to learn more about this rapidly growing field of research. If that is you, there are plenty of videos to… Read more

  • ACM Townhall Webinar with Peter Norvig

    The Association for Computing Machinery is hosting a Town Hall with Peter Norvig on A.I., Machine Learning, and More. Peter Norvig is the Research Director at Google, and a leader in the field of Artificial Intelligence (AI). Topics he might discuss: deep learning future of AI teaching AI academia vs industry advice for grad students… Read more

  • Recent Free Online Books for Data Science

    This is just a short list of a few books that I have have recently discovered online. Model-Based Machine Learning – Chapters of this book become available as they are being written. It introduces machine learning via case studies instead of just focusing on the algorithms. Foundations of Data Science – This is a much… Read more

  • Learn to Analyze Big Data with R – Free Course

    R is a hugely popular language among data scientists and statisticians. One of the difficulties with open-source R is the memory constraint. All the data needs to be loaded into a data.frame. Microsoft solves this problem with the RevoScaleR package of the Microsoft R Server. Just launched this week is an EdX course on Analyzing… Read more

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