21 novembre 2017

Difference between Machine Learning, Data Science, AI, Deep Learning, and Statistics

In this article, I clarify the various roles of the data scientist, and how data science compares and overlaps with related fields such as machine learning, deep learning, AI, statistics, IoT, operations research, and applied mathematics. As data science is a broad discipline, I start by describing the different types of data scientists that one may encounter in any business setting: you might even discover that you are a data scientist yourself, without knowing it. As in any scientific discipline, data scientists may borrow... [Lire la suite]

28 juin 2017

Big data, big money: who benefits from the explosion of data?

We are sure: the data will revolutionize the world, but who will really benefit? In 2011, consulting firm Gartner said: "Information is the oil of the 21st century, and analytics is the engine of combustion". In spite of this metaphor, each one legitimately raises the question of who tomorrow will be the tycoons of the given ... More, what will be the methods of the giants of today and tomorrow: will they be, like the oil giants in their time , at the limit of legality? Will there be oil spills? Will there be collusion with our... [Lire la suite]
Posté par Nina Legras à 14:14 - - Commentaires [0] - Permalien [#]
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25 avril 2016

Gartner 2015 Hype Cycle: Big Data is Out, Machine Learning is in

Which are the most hyped technologies today? Check out Gartner's latest 2015 Hype Cycle Report. Autonomous cars & IoT stay at the peak while big data is losing its prominence. Smart Dust is a new cool technology for the next decade! By Geethika Bhavya Peddibhotla, KDnuggets. Gartner, the leading market and technology research firm, has published its 2015 Hype Cycle Report of Emerging technologies. Fig. 1: Gartner 2015 Hype Cycle. For comparison, here is Fig. 2: Gartner 2014 Hype Cycle. What's the Hype Cycle about? As... [Lire la suite]