What we're about

Machine Learning Tokyo (MLT) is an award-winning nonprofit organization 一般社団法人 based in Japan. MLT is dedicated to democratizing Machine Learning through Open Education, Open Source and Open Science. We support a research- and engineering community of 4,500 members.

Open Education – MLT held more than 70 AI workshops, study sessions and talks with more than 5,000 participants in Tokyo and with remote participants from all over the world. Our events are inclusive and with an open education mindset, individuals can attend all events free of charge.

Open Source – Several volunteer teams within the MLT community are working on Machine Learning, Deep Learning, Reinforcement Learning and Robotics projects, including substantial work that has been done in the field of AI for Social Good. All projects are hosted on the public Machine Learning Tokyo GitHub Organization; code bases and repositories are published as open source projects.

Open Science – MLT teams have published research papers at international ML conference workshops and we’re continuously collaborating with Universities and Research Institutes in Japan to support open science and researchers with diverse academic backgrounds, including the University of Tokyo, Tokyo Institute of Technology and RIKEN CBS. We organized lectures, bootcamps and workshops on Machine Learning, Deep Learning and Data Science.

Find more information about MLT:

Meetup: https://www.meetup.com/Machine-Learning-Tokyo/

Twitter: https://twitter.com/__MLT__

LinkedIn: https://www.linkedin.com/company/mltokyo/

Facebook: https://www.facebook.com/machinelearningtokyo/

MLT Blog: http://machinelearningtokyo.com/

● MLT PATRON ●
Become a MLT Patron and help us to keep MLT meetups like this inclusive and for free. https://www.patreon.com/MLTOKYO

● SUBSCRIBE ●
Subscribe to our monthly newsletter: https://mltokyo.ai/membership-join

● FIND MLT RESOURCES ●
Github: https://github.com/Machine-Learning-Tokyo
Youtube: https://www.youtube.com/MLTOKYO

Join us on Slack: https://bit.ly/2Yb0uXI

● RECRUITING ●
MLT events are for community building and knowledge sharing. We politely ask that company representatives, recruiters and consultants looking to hire or sell their services do not participate in MLT activities or approach members in any form.

● CODE OF CONDUCT

MLT promotes an inclusive environment that values integrity, openness and respect. https://github.com/Machine-Learning-Tokyo/MLT_starterkit

Upcoming events (2)

NLP Business Applications

Impact HUB Tokyo

Natural Language Processing (NLP) has become the backbone of many applications that we use on a daily basis. We're excited to co-organize this event with Le Wagon Tokyo, with a talk on NLP Business Applications by Cedric Wagrez, Gengo. In this talk, Cedric will provide an overview of the technology, and explain how it is being used across a wide range of services. He'll show case studies, and explain the challenges ahead, both globally and in Japan. Cedric has been living in Japan for over 15 years, and was appointed VP of Operations at Gengo (http://gengo.com) 2 years ago. Following Gengo's acquisition by Lionbridge, he recently took over another challenge: developing Lionbridge's AI services offering in Japan, centered around high-quality data for AI applications (https://lionbridge.ai). Agenda • 7:00 pm - Doors open • 7:30 pm - Talk and Q&A by Cedric • 8:30 pm - Networking session ________________ About Le Wagon Tokyo Le Wagon Tokyo (https://www.lewagon.com/tokyo) is a coding school for startups, creative people and tech entrepreneurs. The 9-week full-time and 24-week part-time Full-Stack Coding Bootcamps (https://www.lewagon.com/program) are designed for complete beginners or "half-beginners" who really want to dive into programming and, above all, change their mindset. Learn to think like a developer, consider issues with new insight, and become more autonomous thanks to these newly acquired abilities. The next Tokyo batch will start on April 6th and applications are open. (https://www.lewagon.com/apply/tokyo) Still considering whether to apply or not? Try the free online track! (https://www.lewagon.com/learn-to-code) 💙 –– THANK YOU –– A huge THANK YOU goes out to Le Wagon Tokyo and Impact Hub Tokyo for organizing and sponsoring this event! https://en.hubtokyo.com/ 📌 –– MLT PATRON –– Always on the waiting list for MLT events? Become a MLT Patron and get early access to workshops, study groups and talks. https://www.patreon.com/MLTOKYO –– FIND RESOURCES –– Github: https://github.com/Machine-Learning-Tokyo Youtube: https://www.youtube.com/MLTOKYO Slack: https://bit.ly/2BTZZXS –– RECRUITING –– MLT events are for community building and knowledge sharing. We politely ask that company representatives, recruiters and consultants looking to hire or sell their services do not come to this event. –– CODE OF CONDUCT –– MLT promotes an inclusive environment that values integrity, openness and respect. https://github.com/Machine-Learning-Tokyo/MLT_starterkit

ML TOKYO TALKS: Quantum Edition

Spaces - Tokyo, Spaces Shinagawa

We're excited to host the next ML TOKYO TALKS session, this time as a Quantum Machine Learning edition in collaboration with the Association of Italian Researchers in Japan (AIRJ). We are fortunate to welcome two experts in the field of Quantum Computing: Mattia Fiorentini (Head of Machine Learning and Quantum Algorithms at Cambridge Quantum Computing) and Nathan Shammah (Postdoctoral Research Scientist, Theoretical Quantum Physics Laboratory, RIKEN Japan). 📌 SCHEDULE ● 18:30 Doors Open ● 19:00 Welcome words ● 19:10 TALK 1 + Q&A: "Recent applications of quantum algorithms to the financial service industry", Mattia Fiorentini ● 20:00 TALK 2 + Q&A: "Open-source for quantum technologies", Nathan Shammah ● 20:50 Networking ● 21:15 Closing 📌 TALKS ● TALK 1: Quantum computing (QC) offers novel avenues to process information by increasing both the amount of data we can process and the sophistication of the algorithms and model we employ for business applications. Quantum algorithms have been discovered to solve combinatorial optimisation problems that can find better allocation in complex investment decisions and even use entirely new optimisation paradigms such as quantum semi-definite programming. QC can simulate complex stochastic processes natively and therefore more efficiently, which can help for modelling option paths, and also accelerate Monte Carlo sampling, which is vital for risk management. ● TALK 2: TBA 📌 SPEAKERS ● MATTIA FIORENTINI is the Head of Machine Learning and Quantum Algorithms at Cambridge Quantum Computing. He applies deep learning to algorithmic trading and financial time-series forecasting. With his team, he has implemented many intra-day trading strategies in diverse financial markets. His QC research involves high-impact applications of quantum algorithm in the fields of machine learning and optimisation, specifically targeted at noisy intermediate-scale quantum computers. ● NATHAN SHAMMAH is a Postdoctoral Research Scientist at RIKEN, Japan’s national lab, in the Quantum Physics Theory Lab, where he investigates the dynamics of open quantum systems. Lead developer of QuTiP, the quantum toolbox in Python, he also writes the quantum tech newsletter, https://medium.com/quantum-tech. ● The Association of Italian Researchers in Japan (AIRJ) AIRJ provides support for researchers in Japan with activities such as networking events, career counseling workshops and social gatherings. A collection of useful links for researchers in Japan can be found on https://www.airj.info/ – ranging from sources of practical information to institutions providing research funding and the institutional and cultural Italian organizations active in Japan. 💙 THANK YOU Huge thank you goes out to Spaces Shinagawa for having us at their brand new co-working space. Check out their offie here: https://www.spacesworks.com/tokyo/shinagawa/ MLT PATRON Become a MLT Patron and help us to keep MLT meetups like this inclusive and for free. https://www.patreon.com/MLTOKYO FIND MLT RESOURCES Github: https://github.com/Machine-Learning-Tokyo Youtube: https://www.youtube.com/MLTOKYO Slack: https://goo.gl/WnbYUP RECRUITING MLT events are for community building and knowledge sharing. We politely ask that company representatives, recruiters and consultants looking to hire or sell their services do not come to this event.

Past events (87)

ML Math Reading Session #5 (APAC)

Remote

Photos (149)

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