Next Meetup

AI6 Weekly group learning session
The weekly study session of the AI6 learning group. The agenda is: 10AM-11: 00 AM- Summary of the Lesson/concept of the week and a group chat around the real world application 11AM-12:00PM-Working on this week's assignments/projects 12:00PM-01:00PM-Break for Lunch 1:00PM-03:00PM-Work/research on the final project of AI6 For details of the specific session along with pre-reads and to do for making a session more effective for you , please join the AI6 Melbourne Slack channel at below link: https://join.slack.com/t/melbourne-ai-study/shared_invite/enQtNDQ0OTM2NjI3NzI4LWM0OGY3NWMyOGM1MGVhNWQ5MjkxMWFkZDVmYjBkOGQ3Njc5MDcxODhhYWE0ZDAwYjUzOTczYzg1NTMwNmMyNzA

Docklands Library

107 Victoria Harbour Promenade, Docklands · Melbourne

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What we're about

Known as AI6, it is a structured study group organized in 50+ cities across the globe, including Bangalore, Lagos, Toronto, Singapore, and Sunnyvale. It is community-driven and free-to-attend*.

For 2018-19 AI6 aims to cater to AI learners from diverse backgrounds by running two concurrent tracks: Beginner and Intermediate track(take note that there are important prerequisites for the Intermediate track).

The beginner track is for those who have not completed or are aiming to complete the following courses or its equivalent: 1)Deeplearning.ai by Andrew Ng 2)fast.ai

The intermediate track consists of learners who want to learn cutting-edge AI techniques as taught in the world’s best universities:
1)UCL course on Reinforcement Learning (UCL RL)
2) Berkeley CS294, Stanford Natural Language Processing (CS224n)
3) Stanford Computer Vision (CS231n)

These courses are offered by their respective universities (fortunately for us) are freely accessible by the public. Learning materials for the courses can be quite ‘scattered’, i.e lecture videos for these courses are not found on the official website but on youtube; they are also not aligned with the course outline on the official website.

To encourage the AI6 community to be proactive in their learning, participants can earn points after completing learning tasks. Points earned by participants will be displayed in a public leaderboard (called the Geekboard). The geekboard will be updated weekly.

For certification of participation, beginner track participants of this track are required to complete a project at the end of the cycle. The projects must be:
1)AI related. Further details on project choice can be decided in due course
2)Open source

For certification of participation Intermediate track participants have to complete at least one of the following:
1)Post a code implementation of a research paper on Nurture.ai
2)Write 2 summaries of an AI research paper, posted on the AI6 medium publication

Please check out https://nurture.ai/ai-saturdays especially the amazingly cool projects by the global participants of the first cycle (Jan 2018-May 2018) .

*any joining fees are strictly limited to covering basic operational costs.

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