Top Q and A forums for AI and ML practitioners – Analytics India Magazine

Data scientists work on a variety of complex business problems, using statistical knowledge along with multiple tools. When stuck at something, a data scientist can’t afford to wait for days to figure out how to move forward. A forum where like-minded people from the same profession participate in helping each other out can come to the rescue. Popular forums have experts from across the world actively participating in healthy discussions, doubt-solving and spreading their knowledge to others. Let us look at a few of these Q-and-A forums that every practitioner in AI and ML should be a part of.
Reddit is one of the most popular communities one can explore to solve their queries. This particular community on machine learning has around 2.4 million members. Posting on Reddit has the advantage of extremely quick responses as members are very active on the platform. The machine learning community discusses topics around the latest in machine learning, job posts, project-related doubts, etc. There are similar groups for deep learning, NLP, and computer vision as well.
For more details, click here.
Image: MachineHack
The MachineHack discussion forum is also a great place to post your doubts. It has a very active and engaging community, and users can get answers to any technical challenges in machine learning, artificial intelligence, data engineering, and data science, among others. It also has an assessment section where one can take tests to gauge their skills in cloud technologies, machine learning, programming languages, etc. There is another section in MachineHack to prepare you for your interviews for roles such as data engineer, ML engineer, data scientist, etc.
For more details, click here.
Kaggle is usually a favourite among data scientists. It contains large datasets that data scientists can work with, build models and get a real-world feel. Kaggle also contains a very active forum to discuss all your analytics-related doubts. Highly recognised experts are also quite active on Kaggle, and one can get solutions to their queries from some of the highest-achieving professionals in the field. The discussions can range from basic to advanced topics in NLP, computer vision, neural networks, visualisation and more.
For more details, click here.
StackOverflow says that till now, over 21 million questions have been asked on its platform, with 13.6 seconds being the average time between new questions. StackOverflow is famous for its Q&A platform that sees a traffic of over 100 million people every month to ask questions, learn, and share technical knowledge. It has a vibrant AI, analytics and machine learning community.
For more details, click here.
Image: IBM
IBM has different communities to share and discuss their know-how on IBM products. The Global Data Science Forum has around 21,000 members, 223 libraries and 556 blog posts. IBM also has a business analytics community where one can get product updates and analyse their AI skills. A DataOps community is also in place. Some areas of discussion include Data Replication, DataStage – Data Integration, Global DataOps, Master Data Management (MDM), Watson Knowledge Catalog (WKC), Data Governance and Quality, etc.
For more details, click here.
Data Science Central is a forum for big data practitioners. It features technical topics that deep dive into specialised knowledge of the technical aspects of data science and business topics with a focus on sector-based topics associated with a specific industry. It also has a section on programming languages which covers coding techniques in various languages.
For more details, click here.
Speed up deep learning inference
13th May
Conference, in-person (Bangalore)
MachineCon 2022
24th Jun
Conference, Virtual
Deep Learning DevCon 2022
30th Jul
Conference, in-person (Bangalore)
Cypher 2022
21-23rd Sep
Stay Connected with a larger ecosystem of data science and ML Professionals
Discover special offers, top stories, upcoming events, and more.
In 2019, comedian and writer Keaton Patti used an AI bot to generate a batman movie script.
OPTICS is a density-based clustering algorithm offered by Pyclustering.
There can be various reason behind a neural network fails to converge. failure in convergence can make us confuse about the model results.
Tensorflow has launched a live demo for enthusiasts to try and convert their photographs into 3D versions.
Jindal Worldwide recently ventured into the Indian EV market by acquiring Mumbai-based startup Earth Energy EV.
“We will be a 2000 people data science company in the next six months, or maybe sooner.”
AI can streamline and automate the pipeline and improve the turnaround time by many folds.
The customisable, 3D printed gloves can be remotely controlled, opening up the possibility of teleconsultation by physiotherapists.
Google is integrating AR into many Google products, from Google Lens to multisearch, scene exploration, and Live and immersive views in Maps.
Scene exploration taps into the richness of the web and Google’s Knowledge Graph to surface the most helpful results.
Stay up to date with our latest news, receive exclusive deals, and more.
© Analytics India Magazine Pvt Ltd 2022
Terms of use
Privacy Policy

Connect with Chris Hood, a digital strategist that can help you with AI.

Leave a Reply

Your email address will not be published.

© 2022 AI Caosuo - Proudly powered by theme Octo