Machine Learning Community

Community Overview

About Machine Learning Community

Topics: Machine Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP), Neural Networks, Pattern Recognition, Predictive Analytics, Recommender Systems and the broader area of Artificial Intelligence (AI) & Machine Intelligence.

The community at a glance

Machine Learning Community is a Linkedin Group for Data Scientists and Programmers with roughly 1.4M members. It has been around since 2008. It uses a forum format for communication. It also includes events or meetups. On the Hive Index it ranks #5 in the Data Science communities list.

On LinkedIn
Established 2008
1.4M Members

Frequently asked questions

Who is Machine Learning Community for?
Best for Data Scientists and Programmers enthusiasts looking for a LinkedIn-based community with forum discussion, events or meetups.
Is Machine Learning Community free to join?
This listing is not marked as paid-only. Access rules and any fees are decided by the community.
How many members does Machine Learning Community have?
Roughly 1.4M members, based on figures reported by the community or its host. Member counts are approximate and change over time.
What platform is Machine Learning Community on?
Machine Learning Community runs on LinkedIn. LinkedIn Groups provide a place for professionals in the same industry or with similar interests to share their insights and experiences, ask for guidance, and build valuable connections.
What topics does Machine Learning Community cover?
On the Hive Index, Machine Learning Community is organized under Data Scientists, Programmers.
How do I join Machine Learning Community?
You can join Machine Learning Community by clicking this link, or pressing the "Go to community" button above.
What are the Data Science communities like?
Communities for data scientists and analysts covering machine learning, statistics, Python, and real-world data projects. Slack, Discord, and Reddit all have active communities, ranging from beginner-friendly spaces for breaking into the field to more technical groups discussing research papers and production ML systems.