1 Background Data science is first and foremost a talent-based discipline and capability. Platforms, tools and IT infrastructure play an important but s...
Lately I’ve been doing some experiences with Theano and Deep Learning. One thing that I really thought could help is to understand the workflow of a Theano algorith...
In an earlier blog, “Need for DYNAMICAL Machine Learning: Bayesian exact recursive estimation”, I introduced the need for Dynamical ML as we now enter the “Walk�...
This article was written by Claudia Perlich. Claudia is a Chief Scientist Distillery and Adjunct Professor at NYU. She is also a Data Scientist at Quora. First of, let...
Data science is getting huge, exponentially. The basic idea is that every online activity leaves a digital trace, which can be transformed into smart insights. Data scien...
Summary: What are the earliest seeds of artificial intelligence? To whom do we owe thanks for starting us down this path? Many modern researchers to be sure, but th...
Data has been preserved in various formats for a long time. After the boom of computers and electronic, most of the data storage migrated to the digital domain. And in th...
This article is an introduction of 5 courses in Data Science Specialization from Coursera, developed and taught by leading professors. Coursera is an educational technolo...
With the innumerable amounts of data generated in the technology era, data scientists have become an increasingly needed vocation. The US just named its first Chief Data ...