Some Thoughts on Mid-Career Switching Into Data Science Posted by William Vorhies on October 3, 2017 at 7:06am View Blog Summary: If you are mid-career and thinking about switching into data science here are some things to think about in planning your journey. We get lots of inquiries from readers asking for career advice and many […]
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VIDEO | Join this 6-module session which will take an insightful approach for anyone who wants to get started with deep learning and give intuition to explore the areas of DNN(Deep Neural Networks) April 11th or OnDemand.
FREE eBook: “Analyzing the Analyzers” An Introspective Survey of Data Scientists and Their Work By Harlan Harris, Sean Murphy, Marck Vaisman Publisher: O’Reilly There has been intense excitement in recent Read More
“Scaling makes your life difficult, Scaling can take hours, days, or weeks to perform which may delay needed data processing”
A FREE Masters in Data Science. More and more people are learning on-line via the flood of excellent “open source” resources of classes, ebooks, software, etc. Clare Corthell has created a website to allow anybody to take virtually the same curriculum offered for a Masters in Data Science for Free.
Will it be an official Masters? No, but an official Masters is not always what is needed. Often its the knowledge and experience working with the tools and techniques necessary to actually do Data Science. For some, this free curriculum will allow business-line leaders, Analysts and Programmers from other fields to fill in the education gaps and get better at their job, as well as, one step closer to being an actual Data Scientist. Read More
This article is several years old, but it’s still very relevant today. I get asked this question all the time by students. Hope you find it helpful. – Ted
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Domino Data Labs recently made the Gartner 2017 Magic Quadrant for Data Science Platforms. Here, Domino’s Chief Data Scientist, Eduardo Arino de la Rubia, does a great job making the very complex easily understandable. Learn more about the platform…
This million dollar Kaggle contest is structured into two rounds. In the qualifying round, opening today, you’ll be building a model to improve the Zestimate residual error. The top 100 ranking teams in this round will advance to the final round.