GraphLab announced it closed an $18.5 million Series B funding round led by Vulcan Capital with participation from Opus Capital and existing investors New Enterprise Associates (NEA) and Madrona Venture Group. The company has also changed its name and brand from GraphLab to Dato, reflecting the evolution of its popular machine learning platform which now enables the creation of intelligent applications based on any type of data, including graphs, tables, text and images.
Fuzzy Logic Is Key to Connected Health
January 12, 2015 by
In this special guest feature, Sunil Koduri of Zsolutionz sheds light on how fuzzy logic can add value to the immense amount of data collected by wearable devices.
Data Science 101: Lessons Learned from Kaggle Competitions
January 10, 2015 by
In the video presentation below, “Machine learning best practices we’ve learned from hundreds of competitions,” Ben Hamner, Chief Scientist at Kaggle, discusses some very intriguing insights into how find success in data science projects.
Interview: Szilard Pafka, Data Scientist
January 5, 2015 by
The Los Angeles data science Meetup scene is booming in large part due to the efforts of a local data scientist, Szilard Pafka. In the interview below, Szilard discusses his background in the field, the genesis of his many Meetup groups, the LA tech industry, and his plans to make his Meetups even more successful.
Ask a Data Scientist: Becoming a Data Scientist
December 31, 2014 by
Welcome back to our series of articles sponsored by Intel – “Ask a Data Scientist.” This is the last of our reader submitted questions of varying levels of technical detail answered by a practicing data scientist. This week’s question is from a reader who asks about becoming a data scientist.
Are Data Scientists Overrated? No, But Their Role is Evolving
December 31, 2014 by
In this special guest feature, Daniel Nieten of Red Lambda lends his perspective on the evolving role of the data scientist and where these skill-sets are required. Daniel Nieten is CTO of Red Lambda, a technology company that has developed a next generation IT security and analytics solution for Big Data environments.
The Rise of Data Science in the Age of Big Data Analytics
December 30, 2014 by
Data Science is the key to unlocking insight from Big Data: by combining computer science skills with statistical analysis and a deep understanding of the data and problem we can not only make better predictions, but also fill in gaps in our knowledge, and even find answers to questions we hadn’t even thought of yet.
Data Just Right: A Practical Introduction to Data Science Skills
December 25, 2014 by
The presentation below is from the DataEDGE 2013 conference sponsored by the UC Berkeley School of Information – “Data Just Right: A Practical Introduction to Data Science Skills,” featuring Michael Manoochehri, Developer Programs Engineer, Google.
Why Data Science Will Power the Future
December 23, 2014 by
The presentation below, “Why Data Science Will Power the Future,” is brought to you by our friends over at Udacity. Featured are members of the Udacity team including CEO Sebastian Thrun, and Vice President of Engineering and Data Science Nitin Sharma.
Data Science 101: NoSQL Data Modelling
December 19, 2014 by
With the big data education resource below, you can learn about data modelling in a NoSQL environment.
