Best Communities for Artificial Intelligence (AI) and Machine Learning (ML) 2023
Last Updated on February 13, 2023 by Editorial Team
Author(s): Towards AI Team
Best AI Communities for Artificial Intelligence (AI) Enthusiasts
These are the best AI communities that every AI enthusiast should know about
Once you dive into artificial intelligence and machine learning, you will realize that there is a lot to learn – and as the field grows, there’s more to learn every day. In a variety of online groups and communities, experts and enthusiasts share their insights on AI algorithms, technical and ethical problems in AI, ML, Natural Language Processing (NLP), computer vision, and many other facets of the industry. These conversations lead to developing new ideas and solutions, which help the AI community grow more robust. So how can you join these conversations?
If you’re an enthusiast of artificial intelligence, then you might already be part of an AI online community where you can share and learn from others like you. Alternatively, you may want to join such communities and stay updated with the latest news, state-of-the-art research and events in the AI segment, but you’re not sure where to find them. Whatever the case, examining some of the best communities where AI enthusiasts stay connected and learn can bring new insights and growth to your own AI journey.
Many communities are built around helping develop and improve skills in different areas, like programming, identifying areas of bias and dealing with business problems. In comparison, others are structured more like a Q&A resource where you can interact live with people with a diverse range of AI expertise to help you with particular ML problems you may encounter in your work or studies. They come in a variety of sizes as well – typically, larger communities are beneficial for variety of content and rapid replies, and smaller communities are great for building lasting connections. Each of these AI communities have their own strengths and weaknesses, with different versatility and ways of communicating; your needs and preferences will determine which AI communities to join.
Ready to get started? Here are some of the most exciting and popular online communities that AI enthusiasts like you can be a part of, and what you can gain from joining.
Learn AI community by Towards AI
The artificial intelligence (AI) community Learn AI Together and Towards AI have recently partnered to build a community that is engaging, inclusive, and mutually beneficial. In addition, the community serves as a platform for sharing AI skills, knowledge, and developments, which enables students, engineers, entrepreneurs, academics, and others to work collaboratively to make AI more accessible to everyone.
You can learn more about artificial intelligence faster by chatting online with more than 38,000 other AI enthusiasts like you in the Learn AI Together discord community. On the platform, there are only AI enthusiasts who are willing to interact and share information on their passion for the subject at any time of the day.
Ask questions, find teammates, share projects, find a job, and more. You can chat and voice chat with other users! From asking precise math questions to casual conversation, there are channels for everything. Join the Learn AI community to build meaningful friendships, learn more every day, and become part of a strong network of AI enthusiasts.
r/learnmachinelearning and r/machinelearning — Reddit
r/learnmachinelearning: A subreddit dedicated to learning machine learning | www.reddit.com
Reddit is a great place to follow news and exchange with like-minded people. Due to its structure, it is more like a forum than a community, where you won’t exchange with the same people and create deeper connections. However, this platform allows you to stay up-to-date with the news, find excellent resources, and ask questions. It is very similar to Quora, but without the curation process by administrators.
Similarly, there are hundreds of posts every day in r/learnmachinelearning with so many valuable resources, it’s almost unbelievable. This subreddit is focused on learning machine learning, so its content is more specific to education than other ML-centric subreddits like r/machinelearning, which tends to offer broad coverage of all things ML.
If Reddit is your group of choice, we recommend joining a few subreddits like r/artificial, r/artificialinteligence, and r/learnmachinelearning. Then, set a notification for “hot posts.” This will automatically curate posts for you, sending you the most liked and shared posts of the past few days and filtering out less relevant content. In our tests, it helped our understanding, and we found many tools through these that we still use frequently.
Artificial Intelligence and Deep Learning
The definitive and most active FB Group on AI, Neural Networks, and Deep Learning. All things new and exciting on…| www.facebook.com
The Artificial Intelligence and Deep Learning Facebook community is one of the most vibrant and active groups on Facebook. This AI community is a place for AI enthusiasts to discuss the latest breakthroughs, get inspiration from videos, tutorials, and courses coming out, find exciting jobs, and even share their work back among their peers. These are amazing to find anything related to AI and algorithms, as they’re usually timely and comprehensive, but less optimal for having a meaningful discussion – here, Discord is the clear winner.
However, it is still very useful, and we visit it every day to find exciting news in the field. It is also managed by admins that choose what content is displayed, meaning that the posts are well-curated which makes it a quality source of information.
Machine Learning — Quora
ML content for practitioners. Submissions are welcome, but please read guidelines. | deeplearning.quora.com
Quora is a great place to ask questions and stay up-to-date with the news. It is a known platform for questions and answers that still allows you to share informative posts. Quora has a feature called “Spaces,” which refers to a specific subject or group of people. In this case, the space Machine Learning is what you’re looking for.
This community is full of machine learning experts answering questions and sharing their work. It’s one of the best places to ask questions, as you will always get an answer. It is not real-time like Discord, but its structure makes it much more convenient and likely to get a personal response than Stackoverflow. We would strongly suggest asking your questions on this platform, specifically in this space, if you can’t find the answer you’re looking for online. As we mentioned, many people share their work and news in the field there, which is a great resource for new developments on the AI frontier.
HuggingFace – Github
While this platform has more of a tech-centric structure than other communities, we had to include Hugging Face for its incredible wealth of machine learning resources. If you want it, they’ve got it, ranging from transformers, NLP, deep learning, data sets, and toolkits to your heart’s content. TypeScript and Jupyter Notebook entries are used for their more text-heavy entries, answering questions and providing space for collaboration. If you’re focused on the best new AI tools and resources and want it right next to where you’d be working anyway, Hugging Face has you covered on Github.
All Tech Is Human on Slack
All Tech Is Human is a non-profit that unites a diverse range of stakeholders to expand the overall Responsible Tech ecosystem and co-create a better tech future. | join.slack.com
If you’ve been looking for a community centered around AI ethics, consider this your holy grail. All Tech Is Human (ATIH) is a responsible tech nonprofit based in New York City, focused on rebuilding the responsible tech ecosystem for the betterment of society. Their Slack group features an incredible diversity of members, from engineers to policymakers to young students and everyone in between. The channels are incredibly well-wrought and useful for connecting and learning about responsible tech in almost every conceivable way, with a heavy focus on collaboration. Beyond the general, introductions, and question channels, there are many special interest conversations happening, such as improving social media, accessibility, race and technology, tech culture and business aspects of responsible tech.
Beyond Slack, ATIH offers a mentorship program, events and happenings, job board and industry guides. Entering the AI ethics space can be challenging, as the industry can take many shapes and helpful resources can be scarce. ATIH works to close the gap for anyone looking to involve ethical tech in their career, and provides a comprehensive and supportive community reaching all levels and fields of improving technology for all us humans.
No matter where you’re coming from, there are communities and platforms for every direction of your AI journey. Join the ones that you think best fits your needs. Most importantly, join an AI community to get started learning and interacting with other data people alike. It can be life-changing, for both you and those you interact with! You don’t know how helpful it is until you’ve tried it. Have fun learning with other people, share the projects you work on, easily stay up-to-date with the hottest topics and resources, and find the tools that will change the way you work forever. There are just so many benefits to joining a community that you’ll have to experience for yourself!
Let us know if we missed any exciting communities that should be included here, and we hope to interact with you in the Learn AI community!
This tutorial will see how we can swap two Python Programming languages in five different ways.pub.towardsai.net.
An introduction to support vector machines (SVM) in machine learning, and their role in supervised ML with examplespub.towardsai.net