Looking for a super active place to talk about AI? Here is a Subreddit with over 10 million users, covering everyone from beginners to industry experts. If you are developing an AI tool or product, these communities are great places for showcasing and promotion. You can easily share your links, receive feedback from around the world, and even catch the attention of industry leaders.
Computer Programming
Diverse topics, broad coverage, easy to find target audience; active users, responsive community; opportunity to interact with industry influencers, enhancing brand influence.
Beginners -> /r/mlquestions , AGI -> /r/singularity, career advices -> /r/cscareerquestions, datasets -> r/datasets
The community is large, often involves professionals, user interaction is frequent, suitable for obtaining professional feedback and enhancing brand influence.
A space for data science professionals to engage in discussions and debates on the subject of data science.
Diverse topics, covering a wide range, easy to find target audience; there's a chance to connect with industry influencers, enhancing brand influence; community members often share success stories, serving as learning and inspiration.
Reddit’s home for Artificial Intelligence (AI)
Diverse topics covering a wide range, easy to find target audience; open community culture encouraging innovation and sharing new ideas; global user base understanding different cultural backgrounds.
A subreddit dedicated to learning machine learning
Friendly community environment, newcomers can easily integrate and receive support; high user loyalty, facilitating long-term relationships; free communication, easy to collect genuine user feedback.
Dedicated to web analytics, data and business analytics. We're here to discuss analysis of data, learning of skills and implementation of web analytics.
Members often share success stories, serving as learning and inspiration; high user interaction, posts get exposure easily; special promotion days or events available for special advertising.
Welcome to deeplearning
Friendly user atmosphere; large community size, helps increase product visibility; members often share success stories, serving as learning and inspiration.
Computer Vision is the scientific subfield of AI concerned with developing algorithms to extract meaningful information from raw images, videos, and sensor data. This community is home to the academics and engineers both advancing and applying this interdisciplinary field, with backgrounds in computer science, machine learning, robotics, mathematics, and more. We welcome everyone from published researchers to beginners!
Loose rules, suitable for posting external links; frequent user interaction, posts easily gain exposure; opportunity to connect with industry influencers, enhancing brand influence.
1. AI Navigation Hub: Promote the newly established AI navigation hub as a centralized resource platform providing one-stop service. 2. Online Machine Learning Course Platform: Promote platforms offering comprehensive machine learning courses, such as Coursera or edX, which provide courses from beginner to advanced levels. 3. AI Model Training Platform: Recommend platforms where users can train their own AI models, such as TensorFlow Playground, and cloud-based machine learning platforms like Google ML Engine or Amazon SageMaker. 4. Open Source Machine Learning Libraries: Promote popular libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras, which are widely used in the machine learning field. 5. AI Programming Tools: Recommend online platforms or integrated development environments (IDEs) specifically designed for AI programming, such as Google Colab. 6. AI Ethics Discussion Forums: Promote websites that delve into discussions on AI ethics, as this is an important part of the AI field. 7. AI-based Chatbot Building Tools: Promote tools that allow users to create their own AI-based chatbots without needing much programming knowledge. 8. Machine Learning Model Visualization Tools: Highlight software that can help visualize machine learning models, such as TensorBoard or Netron. 9. Artificial Intelligence Research Platforms: Promote platforms like arXiv.org where the latest computer vision research papers are often shared. 10. AI News Aggregation Apps: Promote apps that collect the latest AI news from various sources, making it easy for users to stay updated on the latest developments.