How to Develop a Random Subspace Ensemble With Python

0

Random Subspace Ensemble is a machine learning algorithm that combines the predictions from multiple decision trees trained on different subsets of columns in the training dataset. Randomly varying the columns used to train each contributing member of the ensemble has the effect of introducing diversity into the ensemble and, in turn, can lift performance over […]

The post How to Develop a Random Subspace Ensemble With Python appeared first on Machine Learning Mastery.

Artificial intelligence model detects asymptomatic Covid-19 infections through cellphone-recorded coughs

0
Results might provide a convenient screening tool for people who may not suspect they are infected.

Testing sewage to home in on Covid-19

0
Letting an algorithm decide which maintenance holes to test for evidence of coronavirus could improve pandemic containment efforts.

Error-Correcting Output Codes (ECOC) for Machine Learning

0

Machine learning algorithms, like logistic regression and support vector machines, are designed for two-class (binary) classification problems. As such, these algorithms must either be modified for multi-class (more than two) classification problems or not used at all. The Error-Correcting Output Codes method is a technique that allows a multi-class classification problem to be reframed as […]

The post Error-Correcting Output Codes (ECOC) for Machine Learning appeared first on Machine Learning Mastery.

AI Cures: data-driven clinical solutions for Covid-19

0
MIT conference illustrates technologies developed in response to the pandemic and new opportunities for AI solutions for clinical management.

Stressed on the job? An AI teammate may know how to help

0
Researchers are working toward intelligent machines that can sense cognitive fatigue and suggest interventions to help a human improve performance.

Why Use Ensemble Learning?

0

What are the Benefits of Ensemble Methods for Machine Learning? Ensembles are predictive models that combine predictions from two or more other models. Ensemble learning methods are popular and the go-to technique when the best performance on a predictive modeling project is the most important outcome. Nevertheless, they are not always the most appropriate technique […]

The post Why Use Ensemble Learning? appeared first on Machine Learning Mastery.

A Gentle Introduction to Ensemble Learning

0

Many decisions we make in life are based on the opinions of multiple other people. This includes choosing a book to read based on reviews, choosing a course of action based on the advice of multiple medical doctors, and determining guilt. Often, decision making by a group of individuals results in a better outcome than […]

The post A Gentle Introduction to Ensemble Learning appeared first on Machine Learning Mastery.

“What to Expect When You’re Expecting Robots”

0
Book co-authored by Associate Professor Julie Shah and Laura Major SM ’05 explores a future populated with robot helpers.

If the Future of Skincare Is AI-Generated Serums, I’ll Pass

0

On Instagram, I am besieged with ads for personalized skincare and hair care. Curology, Skintelli, Proven, Skinsei, Prose, Function of Beauty—you name it, and I have been targeted by it. The general gist is that either via a selfie, quiz, or sometimes even a form of DNA testing, I can get a direct order beauty product…

Read more...

20,832FansLike
0FollowersFollow
0SubscribersSubscribe

Recent Posts