Machine Learning
1297 Threads
@narrativefucker @DrBlobb @seriations Calcium and voltage imaging turn electrical brain activity into fluorescent signal you can capture with a microscope His work is about buildi...
5 activation functions you should know! 𧡠1/8 https://t.co/wO84nkE5tJ
K-Means has two major problems: - Number of clusters must be known - Doesn't handle outliers But there's a solution! Introducing DBSCAN, a Density based clustering algorithm. π...
4 Machine Learning Certificates for Developers π¨βπ»π©βπ» Intro to Machine Learning https://t.co/22IRmGJQOl Intermediate Machine Learning https://t.co/UrYzFKVCwT Machine Learning wi...
Google has released FREE courses to master AI. No Payment Required! Here's how to access Google's AI courses and start learning today. [ Bookmark for future useπ§΅] https://t.co/k...
β Convolutional Neural Network - Explained in simple terms with implementation details (code, techniques and best tips). A quick thread ππ»π§΅ #MachineLearning #DataScientist...
Github has over 75 million users, a sea of free knowledge waiting for you to consume! 5 Github repos every ML practitioner must check out π 1οΈβ£ Cleanlab Clean any ML Dataset! π...
SQL Joins in Pandas! πΌPandas offers robust functionalities to perform SQL-like joins with its merge() function. Let's explore the four primary types of SQL joins β Inner Join, Le...
5 Regression Algorithms you should know 𧡠https://t.co/DACn4b6QJ5
β Clustering in Machine Learning - Explained in simple terms with implementation details (code, techniques and best tips). A quick thread ππ»π§΅ #MachineLearning #DataScientist #...
Wanna build an ML project but do not know where to start? No worries. Let me help you π€ β
NaΓ―ve Bayes is the only algorithm that is based on Bayesian probabilities! But It assumes that features are independent of each other, that's the reason it's called "NaΓ―ve". Here...
LLM sizes, and when to use them: 100M-500M param, encoder-only: you have a straightforward classification/regression task, or you need local embeddings for reasonably sized datase...
Learn Machine Learning for FREE Kaggle is a great place to get started with Machine Learning. You can become Zero to Hero without leaving the browser. A Thread π§΅π https:...
Many physical systems are high-dimensional, but we only really care about some low-dimensional subspace. Our latest work shows how to fit these subspaces as small neural maps aut...
How to transition from Data Analyst to Data Scientist:
Conformal PID Control for Time Series Prediction https://t.co/h1CR9rZf7j We study the problem of uncertainty quantification for time series prediction. Our theory both simplifies...
Visualize the Pandas Dataframeπ₯ Here is how you can visualize and style the Tabular Data using Pandas: Thread𧡠https://t.co/19v3AWVu17
MIT offers free courses in following areas: - Python - Machine Learning - Deep Learning - Probability & Statistics - Linear Algebra A comprehensive curriculum where you get to le...
You can forecast Time Series data using a Machine Learning algorithm like XGBoost or Random Forest. However, you need to reframe your problem as a Supervised Learning one. Learn...
This is how you fine-tune an LLM without breaking the bank π§ β https://t.co/eUd8L5RsYV
MIT university is offering FREE education in Data Science. Courses cover: - Python - Data Science - Machine Learning - Statistics - Linear Algebra & - Deep Learning Learn from t...
Everyone should learn how to fine-tune LLMs! π₯ Introducing Lit-GPT! β‘οΈ - NanoGPT basedπ‘ - Supports Llama-2 π¦ - With pre-training/fine-tuning script π - Powered by LightningAI's L...
5 FREE Courses by Google to Level up Your Skills π₯π₯ 1. Python https://t.co/yebqAf7r7O 2. JavaScript https://t.co/NbmlRv1R1N 3. Data Science https://t.co/5kIT99n8zh 4. Machine l...