Cosa facciamo

We are the community of Data Scientists and Machine Learning Practitioners based in the Greater Milan area.

When you have a question about a new algorithm, how to build Machine Intelligence or Data products or services, using the right tools, increasing your accuracy, or the latest research and industry news, our members are ready to share their experiences, expertise, and creative ideas.

We are an independent group with the only goal of promoting and pioneering knowledge and innovation of the AI and data-driven revolution in the Italian peninsula and beyond.

We make it easy to get answers to your specific questions, as well as provide unprecedented access to thinkers, influencers, experts, and guides who can help you orienting in a galaxy of methods and technologies.

In a nutshell, Data Science Milan is the go-to place for:

• staying up-to-date with the latest industry news

• learning and sharing knowledge

• openly discuss ideas, solutions, and feedbacks

• connecting to the right peers

• supporting community growth

• building visibility and reputation

We encourage international collaboration, sharing, and open-source tools. The official language of our events, talks, and communication is English. The community is open to professionals, practitioners, geeks, students, researchers, managers, directors, tech specialists, innovators, start-uppers, curious, visionaries, and anyone who really believes in our values.

Everyone who is involved in data science projects or wants to undertake this career is welcome to join. Feel free to submit your talk proposals, initiatives, projects, or topic discussions.

Please visit our website ( http://www.datasciencemilan.org/) where you can find:

• the slides and recordings of our previous talks as well

• the registration form for our monthly digest

• the invitation link to join the slack group and stay in touch 24/7 with other members

Eventi in programma (1)

Optimizing differential equations with reinforcement and genetic learning

Optimization is a major topic in the world of data science. Most machine learning algorithms rely on optimization processes to obtain the parameters that minimize a certain measure of error (e.g. loss). In addition, optimization can help to solve various business problems such as portfolio optimization, energy efficiency, production or transportation models.

In today’s presentation we will describe two uncommon and fascinating applications of optimization in the field of controlling a set of ordinary differential equations, both applied within a complex and promising R&D project at Eni. While the first methodology is based on an evolutionary algorithm called differential evolution, the second one is based on reinforcement learning. In addition to the theoretical aspects we will discuss a concrete application on a toy problem, including some code snippets in Python.

Bio:

Salvatore Guastella works as a data scientist in Eni’s data science center of excellence. He works on the development of machine learning models in industrial and research and development projects. Previously he worked as a biostatistician in the field of medical research dealing mainly with survival analysis, cox regression and comparison of classification techniques.

Salvatore has a bachelor and a master’s degree in statistics from the university of Palermo.

Alberto Prospero is the lead data scientist of Eni, working in the development of advanced solutions aimed at improving business decisions and processes. He also provides the technical lead to the team in defining best practices, data models and tools. Previously, he worked as both lead and senior data scientist in Pirelli, focusing on the data modeling of telemetric information and the optimization of factory processes. He started his career at Nextbit, a consulting company based in Milan. Alberto received a Master’s Degree in Mathematics in 2013 from the Catholic University and completed his academic career in 2014, graduating in Interdisciplinary Mathematics at the University of Warwick.

Topics: reinforcement learning, differential equations, genetic algorithms.

Event details:

This event will be held in English and will be streamed live via our Youtube channel (https://www.youtube.com/c/DataScienceMilan). The live streaming will be listed before the event starts.

During the event, you will be able to interact and ask questions in the embedded Youtube live chat or via the #general channel in our slack workspace. You can request an invite via our website, at the get in touch section, or by following this direct link: https://app.slack.com/client/T1K880GR0/C1K7XRKJ9.

Agenda:

18:30 Data Science Milan community opening

18:40 Talk

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If you are interested in doing a lightning talk or want to propose an event, hackathon, panel discussion, roundtable, or any sort of initiative please submit your proposal by getting in touch with a member of the staff. More info at www.datasciencemilan.org.

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This event is supported by IAML (Italian Association of Machine Learning).

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