Arbash Hussaincckeh.hashnode.dev·Jul 6, 2024A Step-by-Step Guide to SVM in Machine LearningIntroduction Welcome to the 5th blog post in our machine learning series! Today, we will explore Support Vector Machines (SVM), a powerful and versatile algorithm used for both classification and regression tasks. As usual, we will also implement thi...Discuss·51 readsMachine Learningsupport vector machines
Suraj Karkisavvysuraj.hashnode.dev·Jun 28, 2024Anomaly Detection Using Linear ModelBefore I start, let's have some motivation: "Cry. Forgive. Learn. Move on. Let your tears water the seeds of your future happiness." Steve Maraboli This is the third lesson of the Anomaly Detection lecture series. In this lesson, we will see how ...DiscussAnomaly DetectionMachine Learning
Lakshay Dhoundiyallakshaydhoundiyal.hashnode.dev·Jun 11, 2024Exploring the Best 5 AI Algorithms and Their ApplicationsArtificial Intelligence (AI) is revolutionizing how we interact with technology, making it smarter and more intuitive. This transformation is occurring due to these powerful algorithms that enable machines to learn from data and make informed decisio...Discuss·2 likes·37 readsHandwritten Digit Recognition
Retzam Tarleretzam.hashnode.dev·May 13, 2024Support Vector Machines (SVM) - Supervised Learning Classificationprint("Support Vector Machines (SVM)") Support Vector Machines(SVM) is a supervised learning classification model used in classification tasks. This uses support vectors and a hyperplane which is simply a line to differentiate classes. The support ve...DiscussSVM
Python GUIpythongui.hashnode.dev·May 10, 2024Guide on Support Vector Machines By PythonGUISupport Vector Machines (SVM) is a decisive machine learning algorithm used for classification and regression tasks. This guide covers SVM's principles, optimization techniques, and practical applications with clear explanations and examples. It's co...Discusssupport vector machines
Learn CPlusPluslearncplusplus.hashnode.dev·May 6, 2024Guide on Support Vector Machines By Learn CPlusPlusSupport Vector Machines (SVM) is a decisive machine learning algorithm used for classification and regression tasks. This guide covers SVM's principles, optimization techniques, and practical applications with clear explanations and examples. It's co...Discusssupport vector machines
Md Shahriyar Al Mustakim Mitulmitul-shahriyar.hashnode.dev·May 3, 2024Machine Learning - Kernel SVM (Part 13)Until now, we had data which we could separate with a line. But what if we get data like this? Now we can't use any linear lines to separate them. There are few ways to separate them.Ways: We can go to higher dimension: Assume that we have some...Discuss·3 likesKernel svm
Md Shahriyar Al Mustakim Mitulmitul-shahriyar.hashnode.dev·May 2, 2024Machine Learning : SVM (Part 12)Here we can see 2 Categories. Category 1 has red cross and Category 2 has green cross. Now we can create a line and and using 2 support vectors, we can create 2 more dotted lines (decision boundary) alongside the previous blue line. Here, we can see ...Discusssupport vector machines
Md Shahriyar Al Mustakim Mitulmitul-shahriyar.hashnode.dev·Apr 29, 2024Machine Learning - Support Vector Regression (SVR) - Part 5So far in Linear regression we have seen linear lines . We could calculate the minimum error by summation of (y-y(hat))^2 You can remind it from this image So, our target is always to minimize the error. In SVR, we came up with a concept that, we a...Discusssupport vector machines
Kunal Kumar Sahookunalkumarsahooai.hashnode.dev·Mar 13, 2024Support Vector Machines: A Mathematician's PerspectiveIntroduction Support Vector Machines (SVMs) represent a class of supervised learning models widely used for classification and regression tasks. Formulated within the framework of statistical learning theory, SVMs offer a robust approach to delineate...Discuss·1 likeMachine Learning
