123 of AI

123 of AI's 𝗙𝗥𝗘𝗘 Interview Prep Tool for AI/ML roles (𝗤𝗻𝗔 𝗟𝗮𝗯) is coming out in the next avatar - v1.1! What's new? + MAANG Tagging to relevant questions + Theory article and videos recorded by our team for key concepts + Mobile-friendly + Revamped UI Along with dozens of bug fixes and enhanced answers from our team! Once again, continues to remain 𝗙𝗥𝗘𝗘(for early users)! Those who were a part of the launch list will continue to receive these upgrades. 🎊 As we scale up to handle further load (yes, I know the site isn't perfect), we've opened a waiting list. Drop your email ID into the comments (our team will scrape it and you'll receive 𝗽𝗿𝗶𝗼𝗿𝗶𝘁𝘆 𝗮𝗰𝗰𝗲𝘀𝘀 the moment we open up) 🙋🏻 P.S.: If you're already a part of the earlier waiting list, no need to add your ID again. #machinelearning #ai #jobs #interview #genai

[Product Launch] Interview Questions for AI/ML roles: QnA Lab is **LIVE!** After receiving over 1k+ comments on our pre-launch post, it is finally time to deliver on our promise! We know that the platform still has many flaws: Many answers have formatting issues, the platform isn't mobile-friendly, and the backend isn't optimized. But, I'm super proud of our team Gaurav Sharma, Gaurav Garwa, and Mashrukh Islam, who've been pushing their limits over the last 3 weeks to get this product out! 🎉 Full credit goes to them for: + Building a fabulous clean platform + Curating real interview questions and writing answers + Authoring technical articles for key sub-topics Of course, it goes without saying that we'll be polishing the platform, solving the issues, and adding some amazing features! 👉 If you'd like to get onto the waiting list as we scale up to handle more load, do drop in your email IDs below :) #mahcinelearning #ai #jobs

[Edit, 25/10, 9PM IST: Launch list is closed and emails have been sent out. Join in to the waiting list for next round of access - https://lnkd.in/dcQ82CgU] Interview Questions for AI/ML roles! Curated from FAANG+ engineers, books, Github repositories, linkedin posts, medium blogs, and many more! What's more? - 🚀 Our team has *hand written detailed answers* to these ~500 questions 🚀 To understand difficult key topics, we've further written separate theory articles on each. 🚀 We've beautifully broken this down into subtopics, to ease you learning load. and the best part - IT'S COMPLETELY FREE! 🎁 We launched a beta version a month back, and are now coming out with the official v1 release, in just 3 days! 🥳 P.S.: Sharing Internal Pre-launch Screenshots on what it will look like! #machinelearning #ai #interviews

You're losing out on a key resource in your ML learning journey if you aren't aware of this - The hidden gems in GitHub repositories - built by the community, for the community! Our team has crawled the internet to find you the top 10 repositories in each of the below categories - 1. Breaking the Ice for Beginners 2. Building ML Pipelines 3. Data Pre-processing 4. Data Visualisation 5. Feature Engineering 6. Model Building 7. Model Evaluation, Packaging and Deployment 8. Deployment 9. Research Paper Implementations We've kept a strict quality criterion for selecting these repositories (you'll be surprised not seeing many top names) Further, you'll also find the final list's pros, cons, use cases and much more for each! Take a look at the article linked in the comments for this analysis! #repositories #machinelearning #datascience

🚀 Is the hype around Generative AI worth it?🚀 From transforming simple text into stunning images to generating code and even personalized content, Generative AI is reshaping industries as we know it. Whether it's revolutionizing marketing, streamlining software development, or enhancing customer experiences, the possibilities are endless. In the latest article, We explore 4 powerful applications of Generative AI—from video generation to text-based creativity—and how they’re being used in real-world scenarios. If you're curious about how this technology is driving the future of business, creativity, and innovation, this is a must-read! Check out the article link in the comments to dive deep into the world of GenAI! #generativeaI #ai #machinelearning

Here's what you should do if you are confused on what libraries to use to leverage AI - Pretty simple... Read our blog (linked in the comments)! 😄 Our team has outlined (with code walkthroughs) what each library offers, what are the problems and techniques provided by each, and when to use what! We have many more such interesting blogs launched, to name a few - 🙅♂️ Jobs that AI can't replace 🌥 ML in the Cloud 🛠 MLOps: Deploying ML Models Over 30+ such articles are underway! Stay tuned and check this one out via the link in the comments! #machinelearning #datascience #ai

Everyone is an AI expert nowadays, isn't it? But, what does true expertise look like? What do you have to learn, to be a true problem solver using AI - no matter the data constraints, or deployment needs? In this first of many blog posts, Gaurav Sharma, a student of our programs, and now the Chief of Staff at 123 of AI, outlines each topic, with all the resources you need to become an AI ninja! It took us more than 6.5k words to put across the topics on which "expertise" has to be built. De-cluttering the noise in this blog post linked in the comments! (Save this post for whenever you're in search of what to learn next and from where) #ai #genai #ml