Machine Learning
861 Threads
GitHub is a goldmine of free resources to learn Python, Data Science and Machine Learning But with so much information, itβs really hard to know what to prioritize. Here are 7 Gi...
K-Means from scratch using Python π₯ K-Means is an unsupervised ML technique used to cluster data when the number of clusters are known. -- step by step explanation with code --...
Stanford University has released these cheatsheets on Machine Learning, Deep Learning, Statistics, and Linear Algebra. Use this as your reference next time working with them:𧡠htt...
Want to start with Machine Learning? Don't start learning math. Learning math is the first thing everyone thinks they need to do. For most people, this is precisely the reason th...
what is ControlNet and how does it work? π https://t.co/5ZSWKk1RAa
7 GitHub repositories that will help you to master Machine Learning (high demand):
ChatGPT is the most powerful conversational AI in the world. It has 175 billion parameters. GPT-4 is estimated to have 100 trillion. Hereβs what parameters mean and why you must...
Open this if you want to see how ChatGPT built a Deep Learning model starting from nothing.
The Adam optimizer is at the heart of modern AI. Researchers have been trying to dethrone Adam for years. How about we ask a machine to do a better job? @GoogleAI uses evolution t...
I found a page listing 135 different Machine Learning algorithms. No wonder most people new to the field have no idea where to start, yet experts do this almost effortlessly. Her...
7 powerful machine learning techniques everyone should know (with links to Python code):
As an ML engineer, lots of time goes into data engineering. Can conversational AI systems like ChatGPT help? Turns out @AkkioHQ shipped an amazing tool that lets you βchatβ with...
Unleash the Power of AI with These Tools: https://t.co/ReZBXePTDQ
I've been studying machine learning for half a decade, and here is the most popular function we use every day: f(x) = max(0, x) Yet many people don't understand a fundamental cha...
Looking for a Dataset to practice Machine Learningβπ π€ @huggingface hub has 20749 datasets available for FREE as I write this thread π₯ Today, we learn how access & use them! π R...
Learn data science and machine learning with a complete end-to-end data science roadmap in 2023 (Don't miss it!π€―) Aπ§΅π
Looks like ChatGPT is gonna need to go in the shop for repairs because it's been BUCK BROKEN https://t.co/2EiXHZJ6FF
532-page #Python #coding book by @TedPetrou >> "Pandas Cookbook: Recipes for Scientific Computing, #TimeSeries Analysis, and Data Visualization" at https://t.co/jUqK3uQElu βββββ #1...
Stanford CS 324 - Large Language Models - Lecture Notes 2022 A handy notes on various topics and techniques related to large language models. Notes are structured really well and...
No model has ever beaten 91% accuracy on ImageNet! Because this dataset has over 100,000 mislabeled images. Folks at MIT have released a tool that automatically detects such issu...
Neural networks learn to approx functions y = f(x). Inference through a trained network is akin to looking up with query (X), values (in latent space encoded by nodes in hidden la...
What are the different approaches for detecting content generated by LLMs such as ChatGPT? And how do they work and differ? Let's discuss (1) The AI Classifier by OpenAI (2) Detec...
I have been solving problems using ML for 6 years now. β³ Here's a plan to achieve mastery over Machine Learning. A Thread π§΅π
532-page #Python #coding book by @TedPetrou >> "Pandas Cookbook: Recipes for Scientific Computing, #TimeSeries Analysis, and Data Visualization" at https://t.co/jUqK3uRcb2 βββββ #1...