Machine Learning
1297 Threads
Tired of Using Indicators to find, - Support / Resistance - Reversal - Direction etc.... Let's deep learn all using PRICE ACTION Here is a Detailed learning thread ready Scroll...
ROC and AUC are important concepts for evaluating classification models in business (e.g. lead scoring). In 6 minutes, I'll share what took me 60 days to figure out. Let's dive in....
300 hours of curated courses focused on Machine Learning Engineering. There are 15 courses. From beginner to advanced. From Google. For free. (Link in the image ALT) https://t.co...
Less than 3 hours since OpenAI announced GPT-4o, and the hype is unreal. Here are 16 wild examples you don't want to miss: 1. Interview preparation https://t.co/y5DjgJ9NbH
Struggling with Machine Learning algorithms? 🤖 Then you better stay with me! 🤓 We are going back to the basics to simplify ML algorithms. ... today's turn is classifying two peng...
How LLMs work, clearly explained:
4 machine learning cheatsheets from Stanford (that will save you hours of study):
Top 10 Machine Learning Algorithms https://t.co/ARmixOj4zl
Struggling with Machine Learning algorithms? 🤖 Then you better stay with me! 🤓 We are going back to the basics to simplify ML algorithms. ... today's turn is Logistic Regression!...
No Google Colab, No Jupyter Notebook! Introducing Simple ML for Sheets. Build Machine Learning Models right inside Google Sheets.
Train and Evaluate all your Machine Learning Models at once! Introducing Lazy Predict a Python Library that allows you to train, test and evaluate all your ML models at once with...
ChatGPT will never work for trading. That's what I thought 3 months ago. Then I spent 100+ hours in the GPT-4 rabbit hole. These 6 blogs show you what you can do. And it doesn'...
Let's implement & train this neural network step-by-step, from scratch using PyTorch! 1/n https://t.co/LI57YjOMWF
The must-have machine learning technique for financial market data analysis: https://t.co/nmNaOeouUO
Reasoning with Intermediate Revision and Search This work presents an approach for general reasoning and search on tasks that can be decomposed into components. The proposed gra...
5 GitHub repositories that will give you superpowers as an AI/ML Engineer:
Long Context LLMs Struggle with Long In-Context Learning Finds that after evaluating 13 long-context LLMs on long in-context learning the LLMs perform relatively well under the to...
OpenAI. OpenBB. LangChain. Cutting-edge sentiment analysis using generative pre-trained transformers. All in a few lines of Python. Here's the code:
👉 The Company Which Provides Digital & Automation Solutions ✨ Zensar technologies limited : Proxy Player in the Artificial intelligence & Machine Learning 🌟 Detailed Company Anal...
Take cross-validation to the next level! Stratified cross-validation can help with class separation. I will explain with an example ↓ https://t.co/r1zH3wfEDX
No code fine tuning will completely change the game Now you can fine tune the latest open source LLMs without writing a single line of code Best part Without managing any GPU inf...
Build a cutting edge portfolio with machine learning (without the Ph.D.):
Is DNA all you need? In new work, we report Evo, a genomic foundation model that learns across the fundamental languages of biology: DNA, RNA, and proteins. Evo is capable of bot...
ResNets: The Backbone of Modern Deep Learning! The brilliance of ResNets lies in their simplicity and effectiveness in addressing the problems that occur when training deep neural...