The Stacking Ensemble Method. Understand stacking using scikit-learn. | by Yoann Mocquin | Feb, 2024
Understand stacking using scikit-learn Discover the power of stacking in machine learning — a technique that combines multiple models into
3 Questions: Shaping the future of work in an age of AI | MIT News
The MIT Shaping the Future of Work Initiative, co-directed by MIT professors Daron Acemoglu, David Autor, and Simon Johnson, celebrated
A Complete Guide to Write your own Transformers | by Benjamin Etienne | Feb, 2024
An end-to-end implementation of a Pytorch Transformer, in which we will cover key concepts such as self-attention, encoders, decoders, and
FinalMLP: A Simple yet Powerful Two-Stream MLP Model for Recommendation Systems
Discover how FinalMLP transforms online recommendations: unlocking personalized experiences with cutting-edge AI research This post was co-authored with Rafael Guedes.
- February 23, 2024
Understanding Direct Preference Optimization | by Matthew Gunton | Feb, 2024
Let’s begin with setting out what fine-tuning should do from a high level. Once you have a pre-trained a model
Grey Wolf Optimizer — How It Can Be Used with Computer Vision | by James Koh, PhD | Feb, 2024
As a bonus, get the code to apply feature extraction anywhere Image created by DALL·E 3 based on the prompt
How to Forecast Time Series Data Using any Supervised Learning Model | by Matthew Turk | Feb, 2024
Featurizing time series data into a standard tabular format for classical ML models and improving accuracy using AutoML Source: Ahasanara
Navigating Data Science Jobs in 2024: Roles, Teams, and Skills | by TDS Editors | Feb, 2024
Whether you’re applying to your first internship to running a multidisciplinary team of analysts and engineers, data science careers come