Prokarsha GhoshComparision between Bayesian Logistic Regression and Applied Logistic RegressionApplied logistic regression:Jun 29Jun 29
Prokarsha GhoshPoisson Distribution (Continuous Frorm)When we hear Poisson distribution, everyone talks about it is a discrete Probability distribution, but another form is also exists…Jun 25Jun 25
Prokarsha GhoshApplied Machine LearningApplied machine learning refers to the use of machine learning techniques and algorithms to solve real-world problems and make predictions…Jun 24Jun 24
Prokarsha GhoshBayesian Machine LearningBayesian machine learning is a branch of machine learning that incorporates Bayesian statistics to make predictions and decisions. Unlike…May 14May 14
Prokarsha GhoshUse of SVM in QMLSupport Vector Machines (SVMs) are not inherently quantum algorithms, but there has been growing interest in leveraging quantum computing…May 11May 11
Prokarsha GhoshQuantum Machine LearningQuantum machine learning (QML) is a field at the intersection of quantum computing and classical machine learning, where quantum properties…May 11May 11
Prokarsha GhoshMachine Learning with Quantum ApplicationsQuantum Machine Learning employs the principles of quantum mechanics to enhance different aspects of machine learning algorithms as well as…May 11May 11
Prokarsha GhoshMachine Learning ConceptMachine learning refers to artificial intelligence (AI) where it’s concerned with the development of algorithms and models that allows…May 11May 11
Prokarsha GhoshClustering Algorithm ComparisonClustering algorithms play a crucial role in exploratory data analysis and pattern recognition by grouping similar data points together…May 5May 5