AI

[ad_1] A Hands-on Guide for PractitionersLast summer a non-deep learning method for novel view synthesis has entered the game: 3D Gaussian splattig. It is a method to represent a scene…

[ad_1] From scratch in python🐍Image by author.One of the most simple and genius ML models, in my opinion, is k-Means clustering. It relates to the group of unsupervised learning algorithms…

[ad_1] A complete worked example for text-review classificationIn this new post, we are going to try to understand how multinomial naive Bayes classifier works and provide working examples with Python…

[ad_1] Scenario: Inventory Management for RetailYou are the Data Science Manager of an international clothing group that has stores all around the world.Supply Chain Network of Fashion Retail Company —…

[ad_1] Photo by Tamara Gak on UnsplashTutorial for Generative AI beginners: let’s build a very simple RAG (Retrieval Augmented Generation) system locally, step-by-stepA Retrieval-Augmented Generation (RAG) system is like a…

[ad_1] I’ve recently been tinkering with deep learning models in Tensorflow, and have accordingly been introduced to managing data as tensors.As a Data Engineer that works all day in tables…

[ad_1] Over the coming months, ChatGPT users will be able to interact with relevant news content from these publishers through select summaries with attribution and enhanced links to the original…

[ad_1] Learn critical knowledge for building AI apps, in plain englishRetrieval Augmented Generation, or RAG, is all the rage these days because it introduces some serious capabilities to large language…

[ad_1] or how to manage your data science education when you know nothing about data science14 min read·11 hours agoI spent so much money because I came from a business…

[ad_1] DATA STRATEGYSome practical advice on where to start from someone who’s been there beforeMost resources I come across when looking for advice and best practices on how to build…