[ad_1] Recommendation Systems Current ML models can recommend similar products, but how about complementary? In the domain of AI Recommendation Systems, Machine Learning models have been heavily used to recommend similar samples, whether products, content or even suggesting similar contacts. Most of these pre-trained models are open-source and can be used without training a model…

[ad_1] Hungarian Algorithm in Action! Image by author.This article provides a step-by-step example of how the Hungarian algorithm solves the optimal assignment problem on a graph The reason I am writing this article is because I struggled for a few days to understand how the Hungarian Algorithm works on a graph. The matrix version is…

[ad_1] A deep dive into contemporary issues around AI, copyright, and the true meaning of “fair use.” That’s right you heard us, Open AI. Source: Patrick Perkins on UnsplashIf you’re reading this, you’re part of the content creator ecosystem: either as a fellow writer, casual consumer or a Medium subscriber. You help keep the system…

[ad_1] A visual tour of the greatest innovations in Deep Learning and Computer Vision. Before CNNs, the standard way to train a neural network to classify images was to flatten it into a list of pixels and pass it through a feed-forward neural network to output the image’s class. The problem with flattening the image…

[ad_1] Optuna was created by Preferred Networks, Inc. and became an open-source project in 2018. It was designed to tackle the challenges of hyperparameter optimization, offering a more efficient and adaptable approach than previous methods. Since its release, Optuna has gained a strong following and continues to evolve with community contributions. Optuna offers several standout…

[ad_1] Building a programming language from scratch in a few hours Trees: The Hierarchical Heart of Computer Science. Source: Jeremy Bishop on UnsplashThe world is full of programming languages with all kinds of different use cases. Most of these languages, though, are built for very general purposes — sometimes, we may want to design a…

[ad_1] An introduction to Network Analysis in Python, along with a practical example using Pokemon data from the PokeApi Photo by Michael Rivera on UnsplashNetwork Analysis is a robust yet straightforward approach to meaningfully understanding various entities'… [ad_2] Source link

[ad_1] TUTORIAL How I learned to use AI as an alternative to generate amazing random data. Kory Becker · Follow Published in Towards Data Science · 8 min read · 8 hours ago -- Share Photo by DALLE.I’ve recently decided to re-familiarize myself with…

[ad_1] Injecting random values during neural network training can help you get more from your categoricals Continue reading on Towards Data Science » [ad_2] Source link

[ad_1] Six simple techniques you can apply in real life The first part of this series discussed the growing need for problem-solving skills. As more of our world is automated with AI these skills are more important than ever. This article continues to outline practical strategies for solving any problem. Three more techniques are outlined…