Machine Learning
1297 Threads
How do you create a beautiful interface for your machine learning or data science project? Handmade from scratch? Any good tools? Sure there are incredible tools:
12 machine learning YouTube videos. On libraries, algorithms, tools, and theory. ↓
Computing hardware is getting really freaking powerful! I think edge inference and ML will become more popular very quickly. It's pretty exciting to think about what this means f...
PCA is one of the most famous algorithms for dimensionality reduction and you are very likely to have heard about it in Machine Learning. But have you ever seen it in action on a...
Principal Component Analysis is one of the most fundamental techniques in data science. Despite its simplicity, it has several equivalent forms that you might not have seen. In t...
Free machine learning education. Many top universities are making their Machine Learning and Deep Learning programs publicly available. All of this information is now online and...
I've been teaching people how to start with machine learning for more than a year now. This is a thread with what I've learned and some advice if you are looking to start. ↓ 1/14
Yesterday, @PrasoonPratham posted a step-by-step guide to solve the Titanic challenge on Kaggle. I thought it'd be fun to engineer some features that can help build an even better...
@MisalRaj_ As a researcher, I am always looking for new ideas and concepts in these courses to see what I can use in my own research. The vision+language and probe tasks lectures w...
This is a step-by-step guide on how you can solve the Titanic disaster challenge on Kaggle. 🧵 👇🏻 https://t.co/WbumL03EUW
How Does a Self-Driving Car Work? 🔧 🧠 🚙 This is classical self-driving car software stack. Nowadays, all steps in the pipeline are dominated by machine learning. Read below for...
If you are looking to get a background in math before starting with machine learning, here is all the material you need covering the following topics: • Probabilities & Statistics...
A lot in machine learning is pretty dry and boring, but understanding how autoencoders work feels different. This is a thread about autoencoders, things they can do, and a pretty...
This thread walks you through a concrete example of how an algorithm can learn racism. It uses some math but only the minimum amount of math possible and has lots of pictures. It i...
I used to believe a browser was just a UI for the internet, but after working in ML I have come to realize it is much more -- it is also a centralized place for web developers to d...
We always focus on Python 🐍, math, and machine learning theory when starting out, but that's not all of it. Fundamentals of Computer Science help tremendously. Here are 6 topics...
To get the intuition behind the Machine Learning algorithms, we need to have some background in Math, especially Linear Algebra, Probability & Calculus. Consolidating a few cheat-s...
I've talked about Transfer Learning before. In summary: you can reuse the knowledge from a different model to kick-start your new model. Practically, this is how I make transfer...
Here are the links for all the notes that I have from the Andrew NG Machine Learning Course that I made back in 2016 This was my first exposure to #MachineLearning They helped me...
♡JF LD KAT DEEP ♡ https://t.co/bUvX2vHqKN
Are you planning to learn Python for machine learning this year? Here's everything you need to get started. 🧵👇 https://t.co/O8hD9jytHO
You might have heard about buzzwords like artificial intelligence, machine learning, data science, and deep learning. But, what exactly do they mean and how are they different fro...
Thoughts about starting with machine learning. ☕️🧵👇
The ability to reuse the knowledge of one model and adapt it to solve a different problem is one of the most consequential breakthroughs in machine learning. Grab your ☕️ and let'...