Akshay 🚀

1 Follower

community-curated profile

Here to simplify python, maths & machine learning for you.
👨‍💻 Sr DataScientist @tomtom | 🎓BITS Pilani | 3patents |
📩 to Colab |
🔗 → http://mlspring.blog/about-me

Overview Posts Content Recommendations

Book Dec 30, 2022

Functional Python Programming: Use a functional approach to write succinct, expressive, and efficient Python code, 3rd Edition

by Steven F. Lott

Recommended by 3 people

1 mention by Akshay 🚀

Tweet Mar 20, 2023

Tools used by Data Analysts A thread🧵👇 twitter.com/nevrekaraishwa2/status/1637865145639526452/photo/1

by Aishwarya Nevrekar

Recommended by 2 people

1 mention by Akshay 🚀

Tweet Mar 19, 2023

🐍 List Comprehension(listcomps for brevity) offer a better way of writing for loops in Python ✅ List comps offer better readability for shorter code ✅ Provide the same result in fewer lines ❌ Should not be used if list comp starts to span over 2 l

by Jaydeep Karale

Recommended by 1 person

1 mention by Akshay 🚀

Course

CS50's Introduction to Programming with Python

by David J. Malan

Recommended by 1 person

1 mention by Akshay 🚀

Tweet Mar 18, 2023

Topic modeling is one of the most powerful techniques of unsupervised learning🤖 Let's implement a topic modeling pipeline without going into heavy statistics behind it⚡ A 🧵👇

by Avi Kumar Talaviya

Recommended by 1 person

1 mention by Akshay 🚀

Tweet Mar 14, 2023

Image generation models are causing a sensation worldwide, particularly the powerful Stable Diffusion technique 🔥. With Stable Diffusion, you can generate images with your laptop, previously impossible 🤩. Here's how diffusion models work, in plain

by mwiti

Recommended by 2 people

1 mention by Akshay 🚀

Video Apr 30, 2019

by Grant Sanderson

Recommended by 1 person

1 mention by Akshay 🚀

Tweet Mar 9, 2023

Are you still deploying uncompressed ML models in 2023? STOP. Apply Gradual Magnitude Pruning (GMP), the current KING in ML model pruning, to reduce the size of large models by 20X without loss of accuracy. Here's how to apply GMP in 5 steps. --A

by mwiti

Recommended by 1 person

1 mention by Akshay 🚀

Tweet Mar 3, 2023

Probability Theory is a fundamental skill for Machine Learning, but most people don't know this: You learned the most powerful technique to solve probability problems when you were 7! You just don't know it. Yet. Here it is:

by Santiago

Recommended by 2 people

1 mention by Akshay 🚀

Tweet Mar 1, 2023

Advanced Python Concepts A thread🧵👇

by Aishwarya Nevrekar

Recommended by 2 people

1 mention by Akshay 🚀

Paper Jan 26, 2023

Cut and Learn for Unsupervised Object Detection and Instance Segmentation

by Rohit Girdhar and Ishan Misra

Recommended by 1 person

1 mention by Akshay 🚀

Tweet Feb 28, 2023

TOP 10 Machine learning algorithms you have to learn in order to stay ahead in your career (And their industry use-cases)🚀 A🧵👇

by Avi Kumar Talaviya

Recommended by 1 person

1 mention by Akshay 🚀

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