Cosa facciamo

It's time to create a meetup in Milan for academics, hobbysts or professionals interested in Machine Learning solutions and latest development of AI.

The idea behind this meetup is to strive for the technological and innovative aspects, in contrast to the commercial part. The vision is to bring ML Milan at an European level and to build a community of AI practitioners in Milan.

Feel free to get in touch if you are interested to take part in the organizational setup or if you have a topic you want to talk about: we're always looking for interesting presentations, anything from 10 up to 30 minutes. Please, remember that talks shouldn't be commercial: the idea is to build a meetup around people passionate about AI & ML, not to promote some specific product or service.

This meetup is no-profit with talks, held in English, regarding:
- ML applications in the industry with real case examples
- new papers and software features

Feel free to follow us in our official Twitter channel: https://twitter.com/ML_Milano

If an organization would like to host it, or sponsor food & drink, feel free to get in touch.

Eventi in programma (1)

ApplyAI@8 - Hands-on workshop to explore ML in Finance - PART 2

Hey all! ApplyAI is back...with the second session on ML I=in finance. ML Milan is happy to announce a new ApplyAI series event, where we take on the practical side of Machine Learning to the next level with live coding sessions. This session is the second part of Alexandr talk; feel free to follow it if you have the interest to know more about ML in finance In the previous event on financial machine learning (https://youtu.be/uoRDfyqgbho), we could see, that if we apply the classical machine learning pipeline as we used to do in computer vision or NLP or other fields, the results will be completely wrong and not explainable. We studied that the secret sauce lies in the data preparation, not complicated models. Now, when we know how to model financial data, it's time to build the strategies and evaluate them in randomness, having a goal of estimating how exactly our models and our strategies will perform in the future. In this lecture we will study 3 major topics: - advanced metrics for performance evaluation - simulations and synthetic backtests generation - risk measures for overfitting, all related to the financial machine learning applications. We will use real data of securities from different sectors, train models, build strategies, and evaluate them within the above-mentioned framework in real-time. Prerequisites: - Basic knowledge of Python and machine learning - Video from the previous lecture and documentation (https://github.com/Rachnog/education/tree/master/ml_milano/intro_to_financial_ml) - Nice to read, but not necessary: https://www.amazon.com/Machine-Learning-Managers-Elements-Quantitative/dp/1108792898 Alexandr Honchar https://medium.com/@alexrachnog Alex Honchar is an AI practitioner and entrepreneur, working in this field for more than 6 years. He has worked as the data scientist implementing state-of-the-art machine learning models in European and American companies, as a researcher at the University of Verona who published multiple academic and blog articles, and lately he pushes the field forward as an entrepreneur and founder of European AI boutique Neurons Lab. Where? Join us on Saturday the 5th of September via Youtube streaming at the following link: https://youtu.be/RJYmYDs-dB8 The event will start after 10 AM and will finish around 3 PM

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