ML@B Brain

Machine Learning at Berkeley

Building and fostering a vibrant machine learning community

About us

Learn. Connect. Grow.


  • Events - We organize events centered around Machine Learning and Data Science that are open to all. Check our calendar for Reading Group, Kaggle Decal, etc
  • Resources - We provide an inclusive community to support professional and academic development.
  • Teams - We work with companies on challenging problems. We work on internal research projects.
  • The Blog - Stay informed. Learn from our blog.

Machine Learning at Berkeley (ML@B) is a student-run organization dedicated to fostering a vibrant machine learning community on the UC Berkeley campus by providing educational and computational resources to undergraduate and graduate students.

We empower passionate students of all backgrounds and skill levels to solve real world data-driven problems in both academic research and industry settings through collaboration with companies and internal research.

By growing a strong machine learning community at UC Berkeley, we hope to benefit, educate, and inspire the students at the university as well as aiding the machine learning community at large.

Introducing our current projects


Industry: Machine Learning at Berkeley's consulting branch allows members to work together with companies to tackle challenging real world problems with the use of machine learning and data science. Each consulting project consists of around 8-10 members and lasts one semester. Through the ML@B consulting projects, members gain the experience to solve machine learning and data science problems in industry.


Research: Machine Learning at Berkeley's research division seeks to provide a platform for students and faculty to collaborate outside of the context of the many AI/ML research laboratories at Berkeley. We believe that landmark research in machine learning almost always comes from left field, and we cherish and encourage novelty in our division.
Our projects and papers are proposed by students and then backed over the course of each academic year into fully fledged research teams. The proposal process leads to a diverse group of projects each year exploring areas from deep reinforcement learning to statistical machine learning, harnessing the creativity and unique backgrounds of our members.

our executive team


We are a student group acting independently of the University of California. We take full responsibility for our organization and this web site.

Feel free to contact us

moc.liamg@yelekreb.ta.lm

ude.yelekreb.lm@troppus

or

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