Machine Learning
1297 Threads
5 Steps to Ace your Data Science or Machine Learning Interview. (A thread) ππ§΅
Day 59 of #60daysOfMachineLearning π· Percision, Recall, F1 π· Precision is a measure of the accuracy of the model's positive predictions. It is calculated as the number of true po...
The most popular approach to tackle answering natural language questions over tables is based on SQL. But there can be a mismatch between SQL and natural language. Solution π§΅
7 YouTube videos for anyone starting with machine learning in 2023. On libraries, algorithms, and tools:
How ChatGPT works behind the scenes, explained in plain Englishππ https://t.co/WXdjZ78M32
Day 58 of #60daysOfMachineLearning π· Accuracy, Overfitting, Underfitting π· In machine learning, accuracy is a measure of how well the model is able to make predictions on new ex...
What could humanity achieve with an AI that can reason generally about videos? In InternVideo, the authors debut a powerful foundation model for video, achieving SOTA results on d...
Hyperparameters are numbers that the model cannot learn. So, you need to optimize them on your own. 2 Blackbox Hyperparameter Optimization explained in a thread π§΅
Day 57 of #60daysOfMachineLearning π· Training, validation, test data π· In machine learning, it is important to divide your data into three sets: training, validation, and test....
Our algorithm just finished ranking the 1504 AI papers published in the last week (Dec 15-Dec 26) π§΅Here are the top 3 must-read with TLDRs: https://t.co/wDeNM8s0X0
What's the "Hello World" of machine learning? Here are 4 problems I'd recommend if you want to start from the beginning: 1 of 6
Day 56 of #60daysOfMachineLearning π· Long Short-Term Memory Neural Networks π· Long Short-Term Memory (LSTM) networks are a type of artificial neural network that is specifically...
Threadπ¨οΈ: unsupervised learning
2022: A Year in Review (ML Papers Edition) In this thread, let's take a look at some of the top trending ML papers of 2022 β https://t.co/E4VIuF23HX
Day 55 of #60daysOfMachineLearning π· Convolutional Neural Networks π· Convolutional Neural Networks (CNNs) are a type of artificial neural network that is specifically designed to...
Day 54 of #60daysOfMachineLearning π· Feed Forward Neural Networks π· A feedforward neural network is a type of neural network that consists of multiple layers of interconnected ne...
Choosing the right architecture for a neural network is key to the success of your machine learning model. 𧡠Here are some things to consider when designing neural networks π http...
Unless you've built a machine learning system before, you'd think it's just like building regular software. It's not. Here is a reason they are different and what you can do abou...
So far all evidence that LLMs can perform few-shot reasoning on novel problems seems to boil down to "LLMs store patterns they can reapply to new inputs", i.e. it works for problem...
Day 53 of #60daysOfMachineLearning π· Neural Networks π· A neural network is a computational model that is inspired by the structure and function of the brain. 𧡠π https://t.co/JE...
ChatGPT, Google Translate, Siri, Alexa & the list goes on... NLP is disrupting the world of AI π₯ Here's a list of resources to take you from πππ«π¨-ππ¨-πππ«π¨ in πππ! π π§΅π
Looking for hands-on machine learning and NLP tutorials. Your search ends here! (A thread) ππ§΅
Day 52 of #60daysOfMachineLearning π· Deep Learning π· Deep learning is a type of machine learning algorithm that uses deep neural networks to learn complex patterns and relationsh...
Day 51 of #60daysOfMachineLearning π· Ensemble Learning π· Ensemble learning is a machine learning technique that combines multiple models to improve the performance and robustness...