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Best Communities for Artificial Intelligence (AI) and Machine Learning (ML) 2023
Artificial Intelligence   Editorial   News

Best Communities for Artificial Intelligence (AI) and Machine Learning (ML) 2023

Towards AI Team
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June 25, 2021
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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

Source: Image by Calum Stevenson on Behance

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

Join the Learn AI Together Discord Server!
Join and ask questions, find teammates, share your projects, and much more with thousands of AI enthusiasts like you! | discord.com

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
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

Artificial Intelligence & 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

Machine Learning
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

HuggingFace Community
The AI Community building the future. | https://huggingface.co/

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

Responsible Tech Community Slack Group
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!

Further Reading

5 Ways to Swap Two Variables in Python
This tutorial will see how we can swap two Python Programming languages in five different ways.pub.towardsai.net.
Support Vector Machine (SVM) Introduction — Machine Learning
An introduction to support vector machines (SVM) in machine learning, and their role in supervised ML with examplespub.towardsai.net
Machine Learning Algorithms For Beginners with Code Examples in Python
Best machine learning algorithms for beginners with coding samples in Python. Launch the coding samples with Google…pub.towardsai.net
 
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Towards AI Team
Established in Pittsburgh, Pennsylvania, US — Towards AI Co. is the world’s leading AI and technology publication focused on diversity, equity, and inclusion. We aim to publish unbiased AI and technology-related articles and be an impartial source of information. Read by thought-leaders and decision-makers around the world. We have thousands of contributing writers from university professors, researchers, graduate students, industry experts, and enthusiasts. We receive millions of visits per year, have several thousands of followers across social media, and thousands of subscribers. All of our articles are from their respective authors and may not reflect the views of Towards AI Co., its editors, or its other writers. | Information for authors → https://contribute.towardsai.net | Terms → https://towardsai.net/terms/ | Privacy → https://towardsai.net/privacy/ | Members → https://members.towardsai.net/ | Shop → https://ws.towardsai.net/shop | Is your company interested in working with Towards AI? → https://sponsors.towardsai.net

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Upgrade to access all of Medium\./g, ''); // Removes 'This member-only story...' }); //Load ionic icons and cache them if ('localStorage' in window && window['localStorage'] !== null) { const cssLink = 'https://code.ionicframework.com/ionicons/2.0.1/css/ionicons.min.css'; const storedCss = localStorage.getItem('ionicons'); if (storedCss) { loadCSS(storedCss); } else { fetch(cssLink).then(response => response.text()).then(css => { localStorage.setItem('ionicons', css); loadCSS(css); }); } } function loadCSS(css) { const style = document.createElement('style'); style.innerHTML = css; document.head.appendChild(style); } //Remove elements from imported content automatically function removeStrongFromHeadings() { const elements = document.querySelectorAll('h1, h2, h3, h4, h5, h6, span'); elements.forEach(el => { const strongTags = el.querySelectorAll('strong'); strongTags.forEach(strongTag => { while (strongTag.firstChild) { strongTag.parentNode.insertBefore(strongTag.firstChild, strongTag); } strongTag.remove(); }); }); } removeStrongFromHeadings(); "use strict"; window.onload = () => { /* //This is an object for each category of subjects and in that there are kewords and link to the keywods let keywordsAndLinks = { //you can add more categories and define their keywords and add a link ds: { keywords: [ //you can add more keywords here they are detected and replaced with achor tag automatically 'data science', 'Data science', 'Data Science', 'data Science', 'DATA SCIENCE', ], //we will replace the linktext with the keyword later on in the code //you can easily change links for each category here //(include class="ml-link" and linktext) link: 'linktext', }, ml: { keywords: [ //Add more keywords 'machine learning', 'Machine learning', 'Machine Learning', 'machine Learning', 'MACHINE LEARNING', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, ai: { keywords: [ 'artificial intelligence', 'Artificial intelligence', 'Artificial Intelligence', 'artificial Intelligence', 'ARTIFICIAL INTELLIGENCE', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, nl: { keywords: [ 'NLP', 'nlp', 'natural language processing', 'Natural Language Processing', 'NATURAL LANGUAGE PROCESSING', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, des: { keywords: [ 'data engineering services', 'Data Engineering Services', 'DATA ENGINEERING SERVICES', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, td: { keywords: [ 'training data', 'Training Data', 'training Data', 'TRAINING DATA', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, ias: { keywords: [ 'image annotation services', 'Image annotation services', 'image Annotation services', 'image annotation Services', 'Image Annotation Services', 'IMAGE ANNOTATION SERVICES', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, l: { keywords: [ 'labeling', 'labelling', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, pbp: { keywords: [ 'previous blog posts', 'previous blog post', 'latest', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, mlc: { keywords: [ 'machine learning course', 'machine learning class', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, }; //Articles to skip let articleIdsToSkip = ['post-2651', 'post-3414', 'post-3540']; //keyword with its related achortag is recieved here along with article id function searchAndReplace(keyword, anchorTag, articleId) { //selects the h3 h4 and p tags that are inside of the article let content = document.querySelector(`#${articleId} .entry-content`); //replaces the "linktext" in achor tag with the keyword that will be searched and replaced let newLink = anchorTag.replace('linktext', keyword); //regular expression to search keyword var re = new RegExp('(' + keyword + ')', 'g'); //this replaces the keywords in h3 h4 and p tags content with achor tag content.innerHTML = content.innerHTML.replace(re, newLink); } function articleFilter(keyword, anchorTag) { //gets all the articles var articles = document.querySelectorAll('article'); //if its zero or less then there are no articles if (articles.length > 0) { for (let x = 0; x < articles.length; x++) { //articles to skip is an array in which there are ids of articles which should not get effected //if the current article's id is also in that array then do not call search and replace with its data if (!articleIdsToSkip.includes(articles[x].id)) { //search and replace is called on articles which should get effected searchAndReplace(keyword, anchorTag, articles[x].id, key); } else { console.log( `Cannot replace the keywords in article with id ${articles[x].id}` ); } } } else { console.log('No articles found.'); } } let key; //not part of script, added for (key in keywordsAndLinks) { //key is the object in keywords and links object i.e ds, ml, ai for (let i = 0; i < keywordsAndLinks[key].keywords.length; i++) { //keywordsAndLinks[key].keywords is the array of keywords for key (ds, ml, ai) //keywordsAndLinks[key].keywords[i] is the keyword and keywordsAndLinks[key].link is the link //keyword and link is sent to searchreplace where it is then replaced using regular expression and replace function articleFilter( keywordsAndLinks[key].keywords[i], keywordsAndLinks[key].link ); } } function cleanLinks() { // (making smal functions is for DRY) this function gets the links and only keeps the first 2 and from the rest removes the anchor tag and replaces it with its text function removeLinks(links) { if (links.length > 1) { for (let i = 2; i < links.length; i++) { links[i].outerHTML = links[i].textContent; } } } //arrays which will contain all the achor tags found with the class (ds-link, ml-link, ailink) in each article inserted using search and replace let dslinks; let mllinks; let ailinks; let nllinks; let deslinks; let tdlinks; let iaslinks; let llinks; let pbplinks; let mlclinks; const content = document.querySelectorAll('article'); //all articles content.forEach((c) => { //to skip the articles with specific ids if (!articleIdsToSkip.includes(c.id)) { //getting all the anchor tags in each article one by one dslinks = document.querySelectorAll(`#${c.id} .entry-content a.ds-link`); mllinks = document.querySelectorAll(`#${c.id} .entry-content a.ml-link`); ailinks = document.querySelectorAll(`#${c.id} .entry-content a.ai-link`); nllinks = document.querySelectorAll(`#${c.id} .entry-content a.ntrl-link`); deslinks = document.querySelectorAll(`#${c.id} .entry-content a.des-link`); tdlinks = document.querySelectorAll(`#${c.id} .entry-content a.td-link`); iaslinks = document.querySelectorAll(`#${c.id} .entry-content a.ias-link`); mlclinks = document.querySelectorAll(`#${c.id} .entry-content a.mlc-link`); llinks = document.querySelectorAll(`#${c.id} .entry-content a.l-link`); pbplinks = document.querySelectorAll(`#${c.id} .entry-content a.pbp-link`); //sending the anchor tags list of each article one by one to remove extra anchor tags removeLinks(dslinks); removeLinks(mllinks); removeLinks(ailinks); removeLinks(nllinks); removeLinks(deslinks); removeLinks(tdlinks); removeLinks(iaslinks); removeLinks(mlclinks); removeLinks(llinks); removeLinks(pbplinks); } }); } //To remove extra achor tags of each category (ds, ml, ai) and only have 2 of each category per article cleanLinks(); */ //Recommended Articles var ctaLinks = [ /* ' ' + '

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