Support Vector Machines (SVM): Support Vector Machines (SVM) are a powerful machine learning algorithm used for classification and regression tasks. SVMs excel at finding the optimal boundary, called the hyperplane, that best separates data points of different classes. Naive Bayes: Naive Bayes is ...
Support Vector Machine (SVM) algorithm in python & machine learning is a simple yet powerful Supervised ML algorithm that can be used for both regression & classification models.
json_data.txt Repository files navigation README Code of conduct Security Awesome-Robust-Machine-Learning 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 ...
Overall, preprocessing steps in machine learning is a critical phase in the data analysis pipeline. It goes beyond mere data cleaning by ensuring that data is refined, standardized, and prepared for analysis, contributing to the reliability and accuracy of subsequent modeling and decision-making proce...
I regularly update my blog in Toward Data Science. Monocular BEV Perception with Transformers in Autonomous Driving (related paper notes) Illustrated Differences between MLP and Transformers for Tensor Reshaping in Deep Learning Monocular 3D Lane Line Detection in Autonomous Driving (related paper notes)...
The central goal of any machine learning (ML) model is to get the best model, and its performance depends on training data. More diverse the training data, one can expect a better model. We have collected a significantly large number of complex structures for this dataset preparation. Our da...
Regression is a fundamental concept in most statistics. Machine learning kicks things up a notch by using algorithms to distill these fundamental relationships through an automated process, said Harshad Khadilkar, senior scientist at TCS Research and visiting associate professor at IIT Bombay. ...
EasyJailbreak: A Unified Machine Learning Framework for Enhancing LLM Security by Simplifying Jailbreak Attack Creation and Assessment Against Emerging Threats
In Machine Learning, an epoch is a complete iteration through a dataset during the training of a model. During each epoch, the model is presented with the entire training dataset, and the model’s weights and biases are updated in order to minimize error in the training data. ...
Machine learning models mostly used to model wastewater treatments are ANN. ANN has been widely used in environmental disciplines. This technique is an effective data drive tool that helps in modeling different environmental processes [22,23]. ANN is trained to be capable of simulating nonlinear rel...