Blogs

Art of Communication in Data Science – The Lens of Experience

On 18 Jan, 2018 By ath.ank 0 Comments

Communication is of paramount importance in every aspect of our lives. Data science is no exception. However, the additional complexity that Data Scientists live with is that they are required to closely interact with diverse groups of people even within a single project lifecycle. To put things into perspective, see the diagram below that captures the project lifecycle of a typical analytics project as per the internationally accepted CRISP-DM framework, and some examples of the various type of people involved at each stage.

Career in Data Science? Don’t Forget Intangibles

On 2 Jan, 2018 By ath.ank 0 Comments

Are you wondering about the hype around Data Science? Data says that it’s not a hype anymore. Glassdoor released its Report of 50 Best jobs in America in 2017. With a job score of 4.8 out of 5, a job satisfaction score of 4.4 out of 5, and a median base salary of $110,000, Data Scientist jobs came in first for the second year in a row.

IBM predicts demand for Data Scientists will soar 28% by 2020.

Source Code for "Deep Feature Flow for Video Recognition"

On 18 Dec, 2017 By Michael.Walker 0 Comments

See: https://github.com/msracver/Deep-Feature-Flow

Data Science vs. Business Intelligence

On 17 Nov, 2017 By Michael.Walker 1 Comments

Kafka 1.0 - New Release

On 3 Nov, 2017 By Michael.Walker 0 Comments

Apache Kafka is a distributed streaming platform for publishing and subscribing, storing, and processing streaming data at scale and in real-time. It has become an awesome tool for a durable system of data collection platforms.

The new release (Kafka 1.0.0) provides the following enhancements:

2017 Hype Cycle for New Technologies

On 31 Oct, 2017 By Michael.Walker 0 Comments

See: https://goo.gl/SRCpbC

Data Visualization in Data Science

On 13 Oct, 2017 By madisonquinn 0 Comments

“If you’re trying to extract useful information from an ever-increasing inflow of data, you’ll likely find visualization useful – whether it’s to show patterns or trends with graphics instead of mountains of text, or to try to explain complex issues to a nontechnical audience.” So writes InfoWorld’s Sharon Machlis.