The World's 7 Most Powerful Data Scientists

https://www.forbes.com/sites/nicoleperlroth/2011/11/02/tim-oreilly-the-worlds-7-most-powerful-data-scientists/#4ae693e5602c

Comments

Post a Comment

Popular posts from this blog

How Big Data affect mobile app development

Image
Mobile app development is a popular service offering today – thanks to the immense popularity of a mobile phone in people’s lives. And it would be disastrous for companies not to leverage this opportunity if they still haven’t addressed it. So, to make use of this ever-growing avenue more and more, organizations all over the world are rushing to embrace this trend. However, they also understand that merely developing a mobile app is not nearly enough, i.e., if they genuinely want an edge over the competition, they need help from advanced technologies. As part of this, Big Data has garnered immense interest in the past few years. It deals with data collected from an endless number of sources to provide invaluable insights while playing a crucial role in advanced mobile app development. How? Well, it gives companies and developers access to unprecedented insights into application users, app performance, and a variety of other critical factors. Such data and insights are then applied to d...
Read more

What is the Difference between Data Science and Software Development.

Image
Data science development is very different from software development, and getting the two to mesh is sometimes like trying to cobble together Tinker Toys with Lincoln Logs.     One data science expert once described the differences as: Software development is “Measure twice; cut once,” while Data Science is “Cut, cut, cut!” The methodologies and processes that support successful software development do not work for data science projects according to one simple observation:   software development  knows , with 100% assurance, the expected outcomes, while data science – through data exploration and hypothesis testing, failing and learning –  discovers those outcomes. First introduced in the blog “ What's The Difference Between BI Analyst and Data Scientist ?”, the Data Science Engagement methodology in Figure 1 supports the rapid exploration, rapid testing, and continuous learning Data Science “Scientific Method [1] ”. Figure   1 :    Data Science ...
Read more