FABLAB Catania

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FABLAB Catania


Cos’è il Machine Learning?

A B O U T   U S

Our mission is to transform your ideas into reality
The Fablab Catania is a place in which makers have the opportunity to experiment directly with their ideas. We want to support small and medium-sized enterprises in the growth of their business., offering services, products and customized advice. We are a mix between a workshop and digital lab, and the full title is described as "industry 4.0".

Have you ever heard, at least once in your life, the term Machine Learning? Or terms such as Artificial Intelligence, maybe associated with the words Deep Learning or Neural Network. If you're not escaped hell, but instead you're fascinated and want to learn more we give you a hand to deepen some of the concepts and why not to become competent in this matter. Machine learning, also called machine learning, it takes into account a huge amount of examples, extracts of the schemes to give an explanation and uses them to make predictions on new examples. Knowledge is no longer transferred from a human but it is learnt independently from the machine. Man's task is to define how the program will learn, the data from which will need to learn and, once that learning has reached a satisfying degree, how to use this knowledge to make decisions or automate tasks

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Because we want to talk about Machine Learning?

We want to create a community of people competent on Machine Learning , Catania, because we are convinced that you master this material will be essential in the near future. We think we achieve this goal through dissemination events and training for those who know little; and by welcoming those who already know more; knowledge sharing basic of all and thus increasing the possibilities to carry out projects useful to the community itself.

Alcuni esempi di Machine Learning

Avete mai fatto un'acquisto online? Nei pochi istanti che intercorrono da quando date l'ok finale a quando il pagamento viene effettuato c'e' un sistema di machine learning che si assicura che la transizione sia legittima. Eh si! Perche' come fanno i sistemi di pagamento a sapere se ci siete veramente voi a fare l'acquisto o se invece si tratta di un criminale digitale? Non e' come in negozio che si puo' chiedere un documento o la firma. Si utilizza appunto un sistema di machine learning, che e' stato addestrato usando uno storico di molte transizioni che sappiamo essere legittime ed altre che sappiamo essere fraudolente. Leggi  altri esempi.

To whom are they addressed in the seminars?

Anyone can attend our meetings, just sign up and receive the communication of the event. If you have skills and some spare time you can register to become an active member of the community. The group on Facebook is the meeting point. The seminars will be carried out in suitable language to beginners and to those with little experience. If you are at a more advanced level, perhaps a spoleverata knowledge could make you happy, or simply get to know other people who have as you in-depth with the matter. Find out who we are.




We found for the case in a virtual place (guess which one?) and shortly after that also in a real place driven by theinterest to share knowledge on Machine Learning. We realized that in Catania there was a lack of disclosure in the organic on this topic and we set in motion to organize events that would interest newbies and the curious. All are welcome.





Other examples of Machine Learning





The combined force of technological developments of computers and algorithms of computer vision, today, allow a computer to analyze in a single day more sheets of x-ray than a radiologist can do in his entire life.

But the quantity is not everything, especially if it is to distinguish between a lymph node of a malignant from a benign. The comparison must therefore include the quality of the work. The computer is able to obtain an accuracy of 92.5%, while the radiologist gets to 96.5%.

When, however, the radiologist and the computer work together, the accuracy rises even to 99.5%. A significant improvement was achieved through Machine Learning.

Do you have Netflix? The web platform with movies and series in streaming, which is threatening the entire world of TV and Film traditional? Behold, their own, back in 2006 they put a prize of 1 million dollars to anyone who was able to improve the performance of their recommendation system of movies.

And what is a recommendation system if you are not a special case of Machine Learning?

In this case, the computer is trained on the data containing the characteristics of the film and user reviews. The goal is to make the computer "understand" what are the movies that can pleasure to each user. Ah, if you are still wondering, the prize was then awarded ;) Even if it took 3 years before someone won!

1° Event


December 15, 2018

General overview on Machine Learning

Image classification with invariant

Speakers: Luke Nose of Big Data ForYou, Alfio Palermo, Nicholas Annino Machine Learning Italy

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