MACHINE LEARNING, DATA MINING, DEEP LEARNING, CHEMOMETRICS… THE HYPE!

Abstract:

The news and our daily life are full of concepts like Machine Learning, Data Mining or Artificial Intelligence. And it is incredible to see how easy seems to create solutions based on "data" and algorithms capable to predict everything in a glimpse! This is mostly due to the incredible advances made in computation (hardware and software), the increasing capabilities of generating and storing all types of data and, especially, the benefits (societal and economical) that generate the analysis of such data. Chemometrics (a.k.a. the wonderful art of applying Machine Learning in chemical data) has played an important role since the late 1970s, analyzing data within natural science (and especially in Analytical Chemistry). Even with the strong parallelisms between all of the abovementioned terms and being popular with most of us, it is still difficult to clearly define or differentiate the meaning of Machine Learning, Data Mining, Artificial Intelligence, Deep Learning and Chemometrics. This conference brings some light about the meaning of all those terms, defines their application ranges and gives some personal experiences applying them. This talk is full of personal, sometimes probably subjective, opinions and statements. Therefore, all opinions here are welcome for constructive discussion with the only purpose of Learning (like the Machines Do nowadays!!)