Hakka Labs| Computational Biology and Data Science at the New York Times

Hakka Labs has a very compelling video of Dr Chris Wiggin’s, Chief Data Scientist at the NYTimes and Columbia University Academic. He will talk about using machine learning and large data in both academia and in business.

He shares some ways re-framing domain questions as machine learning tasks has opened up new avenues for understanding both in academic research and in real-world applications. Read More

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Edu-Video | Dr. Jerry Smith explores how data science is impacted by the “Deep Web”

In this “Data Skeptics Meetup” Video, Dr Jerry Smith, Chief Data Scientist at Capgemini Advanced Digital Intelligence and Data Science & Analytics, explores how data science is impacted by one of the most complex data sets of all times, the deep web.

In this talk you will learn about what the Deep Web is, Open Source Intelligence, and how the “bad guys” are using it orchestrate violence. Read More

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Data Visualization | Feeling Sick? See How These Apps Track Data on Local Illnesses

Feeling Sick today? Heard something was “going around”?

We’ll these 2 companies are making it easy for all of us to instantly see on a local map what’s “going around” use from an illness perspective (viruses, allergies, etc.). This can help us avoid or diagnose the illness quicker and get on with our daily lives. Read More

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Edu-Videos | Learn All About Apache Spark (100x Faster than Hadoop MapReduce)

Apache Spark is an open-source data analytics cluster computing framework originally developed in the AMPLab at UC Berkeley. Spark fits into the Hadoop open-source community, building on top of the Hadoop Distributed File System (HDFS). However, Spark promises performance up to 100 times faster than Hadoop MapReduce for certain applications…and that’s why you should care!

Spark’s in-memory cluster computing is very well suited to machine learning algorithms. These Videos will give you a nice introduction to Spark, how it’s being used in business and why you should care…Watch Videos…

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Practical Deep-Learning Lecture: Machine Perception and Its Applications (Adam Gibson)

What’s Hot in Data Science? Well, there has been a lot of talk recently about DEEP-LEARNING, a subset of Machine Learning, which allows machines to classify what they perceive.

Adam Gibson (Data Scientist and Co-Founder, Blix.io) presents his open-source, distributed deep-learning framework, Deeplearning4j. He demos sentiment analysis and facial recognition tools. If you are using or learning Machine Learning then you should watch this video. Watch Video

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Edu-VIDEO | Great Machine Learning Course from CalTech!- Lectures 1 thru 18 (free)

Great (free) Machine Learning course for beginners by Caltech University. Introduction to; supervised, unsupervised, and reinforcement learning. Components of the learning problem. Lectures 1 of 18 of Caltech’s Machine Learning Course – CS 156 by Professor Yaser Abu-Mostafa. Watch Video

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Edu-Video |”Building a Production Machine Learning Infrastructure” – Josh Wills /Dir. Data Scientist

(Reposted due to popular demand) Another great video from Josh Wills. Josh is Sr. Director of Data Science at Cloudera and has a gift for making fairly complicated technology explanations very digestible to the novice and intermediary techie.

What I most love about this video is how Josh explains -very clearly – the issue of translating analytics Machine Learning on a large set of data records (many individuals) and making it work well in a “real life” production environment on a single individual (think eCommerce). Watch Video

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Guide | How To Obtain an “Open Source” Masters in Data Science

A Masters in Data Science “Will Hunting Style”. 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 what is needed, it’s 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

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