A curated list of awesome machine learning frameworks, libraries and software (by language). Inspired by awesome-php.If you want to contribute to this list (please do), send me a pull request or contact me @josephmisiti. Also, a listed repository should be deprecated if:...
Robust machine learning typically refers to the robustness of machine learning algorithms. For a machine learning algorithm to be considered robust, either the testing error has to be consistent with the training error, or the performance is stable after adding some noise to the dataset. This repo...
Additionally, the AIBOM tool would miss important AI/ML-specific downstream system dependencies and supply chain paradigms like machine-learning-as-a-service prediction APIs (common with LLMs). For instance, an AI model provider may be subject to attack vectors that would be difficult or impossibl...
Explore advancements in state of the art machine learning research in speech and natural language, privacy, computer vision, health, and more.
(2016). Machine learning approaches for improving condition-based maintenance of naval propulsion plants. Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment, 230(1), 136–153. https://doi.org/10.1177/1475090214540874 Article Google ...
Here Are the Construction Robots Coming to a City Near You AI (Artificial Intelligence) Another brick in the wall no matter the weather. By Sydney Butler Jan 21, 2025 This Tiny Inconvenience Made Me Turn Off Apple Intelligence Apple iPhone It doesn't take much to make Apple Intelligen...
14. Ensemble Learning In the following sections, we will take a closer look at each in turn. Did I miss an important type of learning? Let me know in the comments below. Learning Problems First, we will take a closer look at three main types of learning problems in machine learning: su...
2.2. The Need for Online Machine Learning The volume of data generated from various sources has increased enormously in recent years (“Big Data”). Technological advances have enabled the continuous collection of data. Sensor data, web data, social media data, share prices, search queries, click...
The explanations reveal the representation of AQ-Bench in the machine learning models. With our analysis, we flag untrustworthy data samples, identify training data samples irrelevant for prediction, and recommend where to build new near-surface ozone measurement stations based on underrepresented test ...
Stack Overflowalso has some discussion, for example, checkoutWhat is machine learning? I’ve thought hard about all of this, and my definition is coloured by the books I’ve read and the experiences I’ve had. Let me know if it’s useful. ...