We’ve all experienced the great data rush as companies push to use analytics to drive business decisions. After all, the proliferation of data and its intelligent analysis can change entire company trajectories. But to make the quintillions of data created each day truly useful, as well as all that has come before, it must be understandable to an artificial intelligence (AI) system.
Dealing with numbers is one thing, but human language is…Continue
Added by Rosaria Silipo on March 18, 2019 at 7:41am — No Comments
The main comment I have is that you're…Continue
Added by Jason Byrne on March 21, 2018 at 4:30am — No Comments
Since I am sometimes asked to explain phenomena in the absence of data, it becomes necessary to determine what data is required to explain phenomena. Some would say the best approach is to develop and test a hypothesis - to start filling a void of space with pinholes of light - until there are enough lit pinholes to provide a…Continue
Added by Don Philip Faithful on January 20, 2018 at 6:00am — No Comments
For statistical models, selecting those predictors is what tests the steel of data scientists. It is really challenging to lay out the steps, as for every step, they should evaluate the situation and make decisions for the next or upcoming steps. It is a completely different story when running predictive models, and if relationship among the variables is not the main focus, situations get easier. Data analysts can go ahead to run step-wise regression models, empowering the data to give best…Continue
Added by Chirag Shivalker on July 31, 2017 at 10:30pm — No Comments
Once dubbed as the sexiest job of the 21st century by The Harvard Business Review, data scientists take pride in having adept technical skills in providing solutions to problems through data visualization, pattern recognition, text analytics, and data preparation among many other skills.
Given the various industries that utilize data and draw valuable insights from it to enhance their businesses and services, data scientists play a huge role in the progress of any…Continue
It's the age of big data.
Sets of data so vast, so overwhelming that traditional data processing applications aren’t able to handle them.
In fact, according to statistics, more data has been produced just in the last couple of years than in the entire previous history of the…Continue
Blog post by Great Roberts. This is a great article to print and/or forward to HR and specifically the data scientist hiring manager in your organization.
I had yet another call today with a brilliant data scientist working inside of a Human Resources Department of a major business. This HR data scientist has both a strong analytics and predictive analytics background. She has a Bachelor’s Degree in Statistics and a Master’s Degree in Predictive Analytics. She excels in R,…Continue
Added by Mike Kennedy on February 2, 2016 at 2:00am — No Comments
Behind every successful person, there is tons of coffee.
Successful or not or on way to success, coffee is the beverage of choice for many of us. Today a coffee drinker faces a ‘choice overload’ problem – there are too many varieties, blends, and roasts to choose from. Is there a way to simplify this problem? How can data science help us to streamline our choices without sacrificing individual preferences?
Data science refers to knowledge discovery from large volumes of…Continue
Added by Kolabtree on August 20, 2015 at 10:00pm — No Comments
“The Purple People” - The conundrum of finding business expertise among Data Scientists.
Over the last several months, as I looked at addressing the business needs across various industries as someone leading a team of Data Scientists, the question of domain expertise invariably cropped up.
Attending one meeting with a Pharmaceutical company, I was posed with the question of, "Have you done work in the areas of Rare Signal detection?" In a similar vein, while…
Added by Somjit Amrit on September 10, 2013 at 10:47pm — No Comments
This post was written by Greta Roberts, CEO, Talent Analytics, Corp. on 18 July 2012. Please comment below!
After attending several analytics conferences over the last month, I’m beginning to understand an important nuance about the community we call “analytics” worked by “analytics professionals” or “data scientists.” It seems as if the defining boundary of our discipline is almost always that we data scientists apply ourselves…Continue
Added by Mike Kennedy on July 18, 2012 at 12:30pm — No Comments
Several members of the Talent Analytics team had the opportunity to attend Teradata's Big Analytics Conference in Boston on May 22. With a great speaker lineup, the educational and networking event offered both a technical and digital marketing track that covered the latest advancements across the big analytics ecosystem and highlighted how data-driven products and…Continue
Added by Mike Kennedy on May 28, 2012 at 4:30am — No Comments