Data Tells A Story

By Ashton Black | July 25, 2016

"What’s the story?" This question, while seemingly simple, is such an important component of what we do at Othot. Here is why. Anytime we work with (customer) data we begin with a plan, mapping out everything that is required to accomplish the tasks we are working to complete [...]

Data Exhaust – Data Version of Chicken Feet

By Jeremey Garvey | July 19, 2016

Do Not Confuse Chicken Paws with Other Parts of the Chicken--Not all Parts of the Chicken Are Valuable and Not All Data Exhaust is Valuable—Start with Question; Not that Data Some parts of the chicken are very obviously useful (the breast, the legs, the wings the thighs, etc.)  [...]

Data Science Fuels Our Pursuit of Intellectual Curiosity

By Andy Hannah | June 29, 2016

Someone recently asked me what feature I look for in candidates for positions at Othot.  There are standards that we look for – professional experience, educational background, cultural fit, etc.  However, I believe that there is a combination of two features that are often [...]

Tip of the Iceberg: An Intro to the Othot Data Science Language

By Mark Voortman | June 21, 2016

Turning data science into a product is not an easy task, as evidenced by the many data science consultancy companies and still relatively few data science product companies. Data science applied to one specific problem and data set is an already highly complex task that usually [...]

The Art of Data Science

By Ashton Black | April 24, 2016

Much of what I do at Othot is focused around algorithms and data. Implementing the appropriate machine learning algorithms is important in order to build models and generate predictions. At the same time, it is important to have sufficient data when building these models. Each [...]

The Quantified Self

By Alexis Tshudy | April 4, 2016

I’m currently taking a sociology class called Technology and Social Change. While its only purpose was to fulfill one of my general education requirements, it has also made me think quite differently about how we relate to the technologies around us. Recently we explored the [...]

Granularity Drives Intelligent Data

By Andy Hannah | March 26, 2016

I am compelled by recent great work by our team at Othot to write about the potential significant impact of feature engineering and granularity.  Recently, we have been exploring and understanding the impact of breaking down the features we use in our predictive models into more [...]

Man vs. Machine: The Go Frontier

By Mark Voortman | March 15, 2016

Yesterday I watched a Go game (for more info click here1) between one of the best human players, Lee Sedol2, and the strongest computer program, AlphaGo3, which has been developed by Google DeepMind. It was a thrilling fight broadcasted on YouTube4 from Seoul, and was a very [...]
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