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 ...
Visual Testing Benefits of Using Machine Learning in Software Testing Predictive analytics Self-healing tests Faster feedback Enhanced accuracy Smart test automation Understanding Machine Learning Machine learning uses computational methods to learn information from data directly without requiring an existing equ...
The PhD thesis will be done in collaboration with an Industrial partner and will involve the use of agile methodologies, machine learning and automation of software engineering tasks. The successful PhD candidate will extensively explore the DevOps practice and will develop techniques that include the...
RMSE (Root Mean Squared Error): Measures prediction errors in regression models. 6. Hyperparameter Tuning & Optimization Hyperparameters govern the learning process, and improving them boosts performance. Tuning Techniques Grid Search: Testing all possible hyperparameter combinations. Random Search: Samplin...
Testing is an essential aspect of the development of any software system, including Machine Learning (ML) systems.
This program offers you the convenience of online learning as well as the immediacy of real-time interaction. Skills Required:If you are a software engineer, software developer, or another type of engineer, you will need some programming experience in C/C++, Java, or Python. Equivalent personal...
Understand basic software testing and how to apply it to Artificial Intelligence Models Understand how Machine Learning Models are tested compared to traditional software Understand the Ethics behind Artificial Intelligence (AI) and how to validate biases in Large Language Models ( LLMs) Understand how...
Machine learning Linear prediction 1. Introduction Recently, software-defined networking (SDN) has been considered as a popular paradigm that separates the control logic from underlying forwarding switches in a centralized manner, to enable fine-grained flow management (Mckeown et al., 2008). Meanwhil...
Manufacturing is taking a leap forward, using machine learning in robotics for predictive maintenance, and for making factories leaner and more agile.
By leveraging the power of accelerated machine learning, businesses can empower data scientists with the tools they need to get the most out of their data.