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Tomorrow is Data Innovation Day
Tomorrow, Jan 22, 2015, is Data Innovation Day 2015 and a free online conference will be held. A very strong group of speakers and panels are planned. The topics of the talks are: Data For Public Good OpenData Internet of Things Analytic Innovations Startups The conference is four hours from 12:00 PM – 4:00 PM… Read more
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Next.ML Machine Learning Conference
If you are based near San Francisco and interested in machine learning, the Next.ML conference is going on this weekend, January 17, 2015. The conference is a bunch of workshops covering the latest trends in: DEEP LEARNING PROBABILISTIC PROGRAMMING PARALLEL LEARNING JULIA OTHER MACHINE LEARNING TOPICS AND TOOLS The lineup of speakers is great, coming from… Read more
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The Goal is Data Products: Now How Do We Get There?
The primary output of data science is data products. Data products can be anything from a list of recommendations to a dashboard to a single chart or any other product that aides in making a more informed decision. In the end, data science should produce some usable results, and those results are the data product.… Read more
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Learn some Deep Learning in 2015
Here are some great resources to kickstart your deep learning. Deep Learning in Nutshell – nicely detailed blog post Deep Learning Resources – so many good resources, more than I will list here, follow the link Deep Learning Tutorial – just like the title says Deep Neural Networks are Easily Fooled – Proof that deep… Read more
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New Data Science Certificate Program – Cal State Fullerton
If you are interested in earning a data science certificate, California State University Fullerton has just announced a new data science certificate program. The program is entirely online and runs 1 course at a time starting in late February 2015. The 5th and final course should complete sometime in late 2015. Thus, the entire program… Read more
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National Data Science Bowl
Kaggle and Booz | Allen | Hamilton have just launched the National Data Science Bowl. It is a data science competition hosted at Kaggle. If you are interested in getting started, a tutorial is available in iPython format. Best of Luck! Read more
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Wisdom from Geoffrey Hinton
Geoffrey Hinton recently did a Reddit AMA (Ask Me Anything). It contains some good information related to neural networks and deep learning. Also, below is a lengthy video of a distinguished lecture Geoffrey gave at the Toyota Technological Institute in Chicago. Read more
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Considering Julia? Here Are Some Resources
Julia is a new programming language that is quickly gaining traction in the statistics and data science world. It is a high-level language, yet the speed is comparable with lower-level languages like C and fortran. Below are some resources for various types of people. Do you love the academic paper? Julia: A Fresh Approach to… Read more
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8 Easy Steps to Becoming a Data Scientist
OK, the steps are not that easy. They are all doable, and most of the steps are free or very low-cost. They will just take some time. Thanks to the fine folks at DataCamp, creator of online data science courses, for the infographic. Read more
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3 Questions When Choosing a Data Science Program
I was honored to write a guest blog post for Master’s in Data Science. The site contains a very detailed list of graduate programs in data science. The post I authored is title: 3 Questions to Ask Before Choosing a Data Science Program Not to ruin the post, but the 3 questions are: What is… Read more
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3 Great Data Science Books You Can Read Now…for free
Just this week, I have become aware of 3 free online books for data science. Data Visualization with Javascript If you are looking for a tutorial to teach you how to make wonderful visualizations on the web, look no further. Data Visualization with JavaScript is a free online book for learning data visualization with Javascript.… Read more
Data Science 101
One of the oldest blogs on data science, started in 2012.
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