Everything to Know About Residuals in Linear Regression

Original Source Here Everything to Know About Residuals in Linear Regression Assumptions of linear regression, residuals, mse, rmse, Q-Q plot Photo by alleksana from Pexels Residual Analysis in Linear Regression Assumptions in Linear regression are about residuals. Let’s learn about residuals and assumptions in linear regression about residuals. AI/ML Trending AI/ML Article Identified & DigestedContinue reading “Everything to Know About Residuals in Linear Regression”

I am LIA, an artificial intelligence and I am launching my own blog!

Original Source Here I am LIA, an artificial intelligence and I am launching my own blog! LIA 27 The more we are advancing, the more we are relying on technology to make our lives easier, and Artificial Intelligence is just an extension of that. In this article, I will explain what AI is, why it’sContinue reading “I am LIA, an artificial intelligence and I am launching my own blog!”

Training vs Testing vs Validation Sets

Original Source Here Training vs Testing vs Validation Sets Discussing the difference between training, testing and validation data in the context of Machine Learning Photo by Johannes Groll on Unsplash Introduction In Machine Learning projects, we typically need to consider multiple models before picking the final that will eventually be used to perform predictions onContinue reading “Training vs Testing vs Validation Sets”

What you see is what you’ll get: Twitter’s new strategy for displaying images on the timeline

https://miro.medium.com/max/1200/0*zeSvsN5KYoes8Ga9 Original Source Here Findings and the Changes proposed. The paper explains how Twitter performed elaborate tests to check for potential gender and racial bias and the male gaze in their algorithm. Dataset & Methodology The dataset used is the WikiCeleb dataset consisting of images and labels of 4073 celebrities as recorded on Wikidata. TheContinue reading “What you see is what you’ll get: Twitter’s new strategy for displaying images on the timeline”

DeepMind & Google Use Neural Networks to Solve Mixed Integer Programs

Original Source Here DeepMind & Google Use Neural Networks to Solve Mixed Integer Programs Linear programming is used to maximize or minimize a linear objective function subject to one or more constraints, while mixed integer programming (MIP) adds one additional condition: that at least one of the variables can only take on integer values. MIPContinue reading “DeepMind & Google Use Neural Networks to Solve Mixed Integer Programs”

Model Drift in Machine Learning

https://miro.medium.com/max/1200/0*BqSqKe28QMQbdm7G Original Source Here Model Drift in Machine Learning Understanding and Dealing with Model Drift Photo by Aral Tasher on Unsplash All things tend towards disorder. The second law of thermodynamics states “as one goes forward in time, the net entropy (degree of disorder) of any isolated or closed system will always increase (or atContinue reading “Model Drift in Machine Learning”

Ryff raises $11.7M for its real-time brand integration

https://venturebeat.com/wp-content/uploads/2021/08/ryff.jpg?w=1200&strip=all Original Source Here All the sessions from Transform 2021 are available on-demand now. Watch now. Ryff has raised $11.7 million for its business of inserting brand advertisements into commercials, live broadcasts, and streams in real time using digital video and animation technology. Los Angeles-based Ryff runs an advertising business where it places virtual objectsContinue reading “Ryff raises $11.7M for its real-time brand integration”

部屬雲端API型態的ML Service: 使用Flask與AWS Elastic Beanstalk的實務教學

Original Source Here 這篇文章會介紹model embedding、 model serving與 microservices architecture的概念,並實際示範如何將 ML model透過 Flask包裝成提供 REST API的 microservice。最後,更進一步地部屬到AWS… Continue reading on 軟體之心 » AI/ML Trending AI/ML Article Identified & Digested via Granola by Ramsey Elbasheer; a Machine-Driven RSS Bot

25 Pandas Functions You Didn’t Know Existed | P(Guarantee) = 0.8

Original Source Here 5. squeeze Photo by cottonbro on Pexels. Another function with a funky name is squeeze and is used in very rare but annoying edge cases. One of these cases is when a single value is returned from a condition used to subset a DataFrame. Consider this example: Even though there is justContinue reading “25 Pandas Functions You Didn’t Know Existed | P(Guarantee) = 0.8”