Capability of several advanced machine learning techniques such as deep learning in a number of software engineering tasks such as code completion, defect prediction, bug localization, clone detection, code search and learning API sequences. A lot of approaches have been proposed by the researchers ...
Azure Machine Learning studiois a collaborative, drag-and-drop tool for building, testing, and deploying predictive analytics solutions on your data. It's designed for data scientists, data engineers, and business analysts. Machine Learning studio supports a wide range of machine learning algorithms ...
Here, we can combine the two. How is machine learning reshaping the world of software development and testing for the better? The simple answer is that ML is already being used by software testers to automate and improve the testing process. It’s typically used in combination withthe agil...
www.nature.com/scientificreports OPEN Machine learning and ontology in eCoaching for personalized activity level monitoring and recommendation generation Ayan Chatterjee 1,2*, Nibedita Pahari 3, Andreas Prinz 1 & Michael Riegler 2 Leading a sedentary lifestyle may cause ...
machine learning methods. Mortgage and credit card proliferation are the results of being able to successfully predict if a person is likely to default on a loan Widely deployed in many countries 20 20 e-commerce A person buys a book (product) at Amazon ...
machine learning techniques, namely those based on decision trees, can uncover the vast majority of those channels while incurring in comparatively lower false positive rates. We also explore the application of semi-supervised and unsupervised machine learning techniques. Our findings suggest that the ...
On the contrary, in stochastic models (including machine learning), each simulation may give a different result, due to the randomization of the initial conditions, and this way reflects better the reality of complex geo-environmental phenomena. This allows one, in turn, to estimate how sure ...
software defect prediction; machine learning; k-means clustering; support vector machine; naïve Bayes; random forest; ensemble approach; particle swarm optimization1. Introduction Software defect prediction (SDP) is a technique for improving software quality and reducing software testing costs through ...
The traditional approach to getting started in machine learning has a gap on the path to practitioner. Perhaps you somehow make it to the other side. Looking back, you realize you were not taught one thing about modern software development practices, languages, tooling, or anything that you can...
Yalantis experts provide a wide array of machine learning services starting with domain-specific consulting and finishing with complete model deployment.