Machine Learning
1297 Threads
For absolute beginners all you need to know about: How do machine learning algorithms work for object detection in an image? - A must-read thread 🧵
I started my Machine Learning career in 2018 and it has been a fascinating ride so far. For those starting out, here's a simple roadmap you can follow. (A thread) 🧵👇
Create a basic 3D game prototype like Doom using GPT-4. Let GPT do all the maths, raycasting and hard work! 🧵 A thread https://t.co/IZgSlj4QTO
GPT-4 is old news. The team at @AssemblyAI just released a state-of-the-art model in speech recognition: Conformer-1. But what's interesting is how they achieved this. Here is e...
Are you looking to build a stellar data science portfolio? Then, look no further than the machine learning company's "The Mega guided project program" 12 weeks, 12 projects and y...
I started my career in Data Science back in 2016 ⏳ Some great Books that have helped me during this journey! 📚 A Thread 🧵👇 https://t.co/yIJsYCdCnM
OpenAI just launched GPT-4. It leaves ChatGPT in the dust. Here's everything you need to know: https://t.co/Oc6TrygvNO
I think we can call it shut on 'Open' AI: the 98 page paper introducing GPT-4 proudly declares that they're disclosing *nothing* about the contents of their training set. https://t...
I know you're all waiting for GPT-4. But nothing tastes better than live, open demo of an open-source multimodal LLM! Check out my team's Prismer model hosted on HuggingFace: http...
LLMs are having their Stable Diffusion moment. Meta released the weights for their LLaMA models: 17 days ago. Today you can run LLaMA on: - your computer - your phone, - a raspber...
My 9 favorite websites to practice coding exercises until you're a MASTER: 9. Mode (SQL) 8. DataLemur (SQL) 7. LeetCode (Python) 6. Codewars (Python) 5. Stratascratch (SQL) 4. Hac...
🫣 GigaGAN 1B-parameters 512px in 0.13 seconds Lower FID than SD, Dalle2, Parti-750M It’s orders of magnitude faster than diffusion and autoregressive models, and inherits the d...
The Kaggle Workbook was just released! If you are into Machine Learning, this will be one of your favorite books in 2023. Link: https://t.co/x9SAglhRyN Here is why you need this...
My data journey. I started with the 1. Google Data Analytics course on Coursera: would highly recommend, it isn’t deeply technical, but it gives you a solid foundation and knowled...
Unfortunately, most Machine Learning models never make it to production. For most data scientists, "deploying a model" is an afterthought. I've talked to teams that can't even art...
Most of us use Google Colab Notebooks regularly to Practice and work on Machine Learning Projects Here are 6 Colab hacks that are really worth knowing: 🧵👇
AI related Important terms you must know for UPSC Prelims: (Google and just understand meaning of these terms) 1. Generative Pre-training Transformer 2. Machine learning 3. Deep...
99% of data scientists have no idea what's in their data. They train their models and hope for the best, but reality catches up quickly: garbage in, garbage out. I found a soluti...
This is a good question, many people confused finetune vs index. Fine tune is train the model, just make the model smarter, but the tuning process is complicate, expensive. Index,...
GitHub is a goldmine of free resources to learn Python, Data Science and Machine Learning But with so much information, it’s really hard to know what to prioritize. Here are 7 Gi...
Probability Theory is a fundamental skill for Machine Learning, but most people don't know this: You learned the most powerful technique to solve probability problems when you wer...
K-Means from scratch using Python 🔥 K-Means is an unsupervised ML technique used to cluster data when the number of clusters are known. -- step by step explanation with code --...
A custom language model excels at a specific task, meaning you get an extra performance gain. Training your own custom Cohere models is easy, and it doesn’t require machine learni...
Recommendations for learning the Mathematics of Machine Learning. I picked 2 resources for each of these topics: • Probability and Statistics • Linear Algebra • Multivariate Calc...