Like many of their peers, as business leaders look to the future, they may well be concerned most about getting value out of all the data they possess. They look around at a world of unstructured data, rich in insights, but not suited to traditional legacy databases. They perceive that technologies such as Machine Learning […]
Data Science Education at Carnegie Mellon University: Demand for Analytics Skills
The wide acceptance and demand for Data Science education is reflected in the variety of graduate programs at Carnegie Mellon University. There are nine degree programs offered through four schools, emphasizing different aspects of analytics. Two degrees, the Master’s in Machine Learning and Master’s in Computational Data Science emphasize the computer science elements; the Master’s […]
How can Experienced Programmers be Trained to Become Data Scientists?
In the Data Science industry, the year 2018 will be the one to watch in US as the business community faces a severe demand-supply gap in Data Science jobs. McKinsey Global has projected fresh Data Science job openings of up to 180,000 in US alone. This forecast may very well reflect the global need for […]
Data Science Predictions for 2017
Data is now creating opportunities for business growth and profit like never before. In the last decade, the emergence of advanced data technologies and superior analytics tools has made it possible for business operators to reap numerous benefits from their data assets, yet for most they’ve only just scratched the surface of data’s potential. Data […]
Can IBM Watson Analytics Replace the Data Scientist?
At the core of IBM’s Watson Analytics is a powerful bull’s-eye tool; it employs a powerful user query as the basis of analysis. The Data Scientist or business user is free to play with the variables in any dataset and directly visualize how the changing user inputs impact the answers. The bull’s-eye also helps narrow […]
Deep Learning 101: The What, Where, and How
Researchers have tried for decades to create computers capable of learning. Recently, using the human brain as a model, they have had some success. Complicated algorithms have been developed, allowing computers to learn on a limited scale. Deep Learning (DL) is the name used for the process of computers “learning” appropriate responses as they interact […]
Developing Machine Learning Skills on the Job
Data continues to inhabit every facet of human existence and so the need for competent Data Scientists to help leverage the insights from that data will invariably increase for the foreseeable future. According to a past EMC Data Scientist Study and the 2015 Global IT Report, the amounts of data created by the year 2020 […]
How Big Data is Strengthening Machine Learning Projects
“Modern Machine Learning is devoted to deriving value from data, not jamming the airlocks.” The above quote from Arthur C. Clark’s HAL 9000 vision is about to become a reality, thanks to Big Data enabled Machine Learning (ML). With modern computers exhibiting exceptional performance and storage devices being available within easy budgets, global businesses are increasingly […]
Deep Learning Obstacles: What’s the Lesson?
Historically, Google hasn’t often shared its powerful arsenal of hardware and software technologies, which has helped build its reputation and market dominance over the years. Google has been one of the symbolic forces behind advanced data transmission technologies used across the globe. Yet, Google maintained its strategic strength over its competitors by carefully withholding older […]
Designing Effective Interviews for Spotting a Real Data Scientist
The Data Scientist has been called the sexiest job of the 21st Century and thus has started attracting many young, ambitious contenders for this high-paying and “glamorous” post. However, there is a growing concern among employers and business leaders that candidates are getting enticed by just the “title” without building the proper mindset and skills […]