Learn more about video blogger Stefan Groschupf. Over the course of the next few months we will be releasing insights in Machine Learning, the Cloud, and Big Data in this new video blog series presented by Stefan Groschupf, CEO of Datameer. Here’s Stefan’s next short video blog on “Big Data Ethics” Check out his other video blogs here.
MapR Debuts New Data Science-Led Quick Start Solution
by Angela Guess A new release out of the company states, “MapR Technologies, Inc., provider of the industry’s only Converged Data Platform, today announced the immediate availability of the MapR Risk Management Quick Start Solution for Financial Services powered by the MapR Converged Data Platform. With more data available to detect, identify and avoid loss […]
Microsoft Announces Microsoft Professional Degree Program
by Angela Guess A new release out of Microsoft states, “On Wednesday at the Worldwide Partner Conference, Microsoft Corp. announced the Microsoft Professional Degree (MPD) program, the first program of its kind to offer employer-endorsed, university-caliber curriculum for professionals at any stage of their career. MPD is a Microsoft-led initiative that provides professionals with real-world […]
A Comprehensive Review of Skills Required for Data Scientist Jobs
The Data Scientist is the quintessential “go-between,” carrying the problems of the business folks to the IT department, and then bringing back the technological solutions to the business units. A good Data Scientist not only explores, designs, and engineers business solutions, but also determines the best technological option at hand to arrive at such solutions. […]
Python Libraries for Better Data Science
by Angela Guess Tyler Keenan recently wrote in Business2Community, “One of Python’s greatest assets is its extensive set of libraries. Libraries are sets of routines and functions that are written in a given language. A robust set of libraries can make it easier for developers to perform complex tasks without rewriting many lines of code. […]
10 Programming Languages Used by Today’s Data Science Pros
by Angela Guess Jessica Davis recently wrote in InformationWeek, “Looking to break into the field of data science or to gain the skills to be able to transition to this field in the future? Interested in becoming a data analyst and perhaps eventually moving into a data scientist role? Then you’re probably doing some research […]
Big City, Big Data: Data Science Education at Columbia University
Columbia University’s Data Science education programs are fairly new, with the Data Science Institute founded in 2012. The program seeks to take an interdisciplinary approach, drawing on more than 200 faculty from the nine schools that make up the university. The classes were intentionally designed especially for these programs, not pulled from existing courses. Research […]
Strategies for Acquiring High-Quality Training Data
by Angela Guess Moritz Mueller-Freitag recently wrote in Dataconomy, “Access to high-quality training data is critical for startups that use machine learning as the core technology of their business. While many algorithms and software tools are open sourced and shared across the research community, good datasets are usually proprietary and hard to build. Owning a […]
How Big Data Systems Can Empower You to Ask New, Better Questions
by Angela Guess Roy Wilds recently wrote in Information Management, “You think you know what’s in your data. But there may be a lot more there than you realize. The combination of big data and modern data science can empower you to ask questions in entirely new ways, and uncover answers locked away in your […]
3 Reasons Data Science Projects Fail
by Angela Guess Isaac Roseboom recently wrote in Dataconomy, “The rise of data science in the last decade has been driven by the ease of access to deep data and significant reductions in the costs associated with processing it. These days anyone with a credit card can now setup a cloud-based data warehouse and tracking […]