Machine Learning
1297 Threads
🧵🧵🧵🧵 👇 Artificial Inteligence = 🖥️ + 🧠 When can you expect your fridge & mobile phone to revolt against you? (Spoiler Alert: Not in the foreseeable future). Please Do 're-tweet'...
You don't need to go to a university to learn machine learning - you can do it from your living room, for completely free. Here is an extensive list of curated free courses and tu...
AutoML means using ML to create better ML models. Meta-learning improves the learning of sophisticated tasks by reusing knowledge. 3 main forms of meta-learning relevant to AutoM...
Want to make a Machine Learning project but need guidance? Here are Five Youtube Tutorials on how to make a Face Detection Algorithm🚀 Thread 🧵👇
If countries are stocks, which ones should you long & which to short? I used machine learning to grade the industrial health of 190 countries over 30 years. Here’re results on Chi...
Self-supervised learning is The dark matter of intelligence @facebookai. Why?⬇️
Why is the mean squared error (MSE) function is the preferable cost function for linear regression problems? To answer this question, let's explore why do we even need a cost func...
Want to make your inference code in PyTorch run faster? Here’s a quick thread on doing exactly that. 1. Replace https://t.co/OG6jlroK1O_grad() with the ✨torch.inference_mode()✨ c...
Master Neural Architecture Search (NAS) to automate the creation of neural networks. 4 topics you need to cover⬇️
Teach ML models to generalize information from visual images and articulate those concepts via language. Unified VLP is a new transformer model for Visual Question Answering by @M...
SEVEN Youtube channels from you can learn Machine Learning for FREE🚀💯 Thread 🧵👇
Use Transformers beyond NLP. Why you should use them in the time-series forecasting scenarios?⬇️
The idea of automatically creating neural networks seems nothing short of magical. In a NAS model, the search strategies are the algorithms that make that magic happen. 4 Search...
I get this question a lot: "I don't have a good PC, can I still train machine learning models?" Yes you can and here's how 🧵
There are many challenges teams encounter while performing data labeling. That's why we decided to discuss 3 real-world use cases. Find one that fits your project⬇️ https://t.co/...
You spend 50% of the time in your project working with data. That's why data labeling is so important. @TolokaAI made a web survey uncovering data labeling habits and techniques...
You've taken the course in the ML about neural nets. You start to build a project. And the question is how to select the best neural network architecture? Neural Architecture Sea...
.@h2oai = one of the most widely adopted ML platforms in the enterprise space. H2O AutoML is a recent addition to the stack that enables the automation of ML workflows in the Aut...
1) What is population-based training (PBT)? 2) How to use PBT in hyperparameter optimization? 3) How PBT helped in the creation of self-driving car models? 3 Answers are here👇 htt...
Hyperparameters are numbers that the model cannot learn. So, you need to optimize them on your own. Finding the right hyperparameters is crucial for the viability of your ML model...
Five FREE Books to learn Machine Learning and Data Science🤩💯 🧵👇
I've made this mistake many times while monitoring ML outputs. Arbitrary thresholds give arbitrary alerts! Our solution was: find the minimum metric val that yields business retur...
.@PrometheusIO is a widely-adopted technology stacks for capturing and storing large datasets. It's also a favorite infrastructure building blocks of ML engineering teams.⬇️ https...
Are you looking for ways to start Data Science and Machine Learning? 🤔 FREE Data Science & Machine Learning Resources 🧵👇
