100 Best Support Vector Machine Videos

Notes:

Support Vector Machines (SVMs) are a type of machine learning algorithm that is used for classification and regression tasks. In classification tasks, the goal is to predict the class or category of an input data point based on its features. In regression tasks, the goal is to predict a continuous value based on the input data.

An SVM works by finding the hyperplane in a high-dimensional space that best separates the data points into different classes or categories. The hyperplane is chosen in a way that maximizes the distance between the nearest data points from different classes, known as the “margin.” Once the hyperplane is determined, it can be used to classify new data points by assigning them to the class on the appropriate side of the hyperplane.

SVMs can be used in dialog systems in a variety of ways. For example, an SVM could be trained to classify user input into different categories, such as questions, requests, or statements. This could allow the dialog system to better understand the intent behind a user’s input and provide a more appropriate response. SVMs could also be used to classify user input based on the type of information it contains, such as personal information, location, or topic, which could be used to tailor the dialog system’s responses to the user’s specific needs or interests.

See also:

SVM (Support Vector Machine) & Chatbots 2018

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[100x Nov 2020]

• 16. Learning: Support Vector Machines
• How SVM (Support Vector Machine) algorithm works
• Support Vector Machine (SVM) – Fun and Easy Machine Learning
• SVM with polynomial kernel visualization
• Support Vector Machines, Clearly Explained!!!
• Scikit Learn Machine Learning SVM Tutorial with Python p. 2 – Example
• Support Vector Machines: A Visual Explanation with Sample Python Code
• Lecture 14 – Support Vector Machines
• Support Vector Machines – The Math of Intelligence (Week 1)
• Support Vector Machine – Georgia Tech – Machine Learning
• Lecture 12.1 — Support Vector Machines | Optimization Objective — [ Machine Learning | Andrew Ng]
• Support Vector Machine (SVM) Part-1 ll Machine Learning Course Explained in Hindi
• Support Vector Machine Intro and Application – Practical Machine Learning Tutorial with Python p.20
• Support Vector Machine – How Support Vector Machine Works | SVM In Machine Learning | Simplilearn
• Machine Learning Tutorial Python – 10 Support Vector Machine (SVM)
• Lecture 12.4 — Support Vector Machines | (Kernels-I) — [ Machine Learning | Andrew Ng]
• Support Vector Machines (SVM) – Part 1 – Linear Support Vector Machines
• Support Vector Machines (1): Linear SVMs, primal form
• Support Vector Machines (3): Kernels
• Support Vector Machines (SVM) Overview and Demo using R
• Non-Linear Support Vector Machine (SVM) And Kernel Function ll Machine Learning Course in Hindi
• Support Vector Machines (SVM) by Example
• Support Vector Machine (SVM) with R – Classification and Prediction Example
• Support Vector Machine in Hindi | Machine learning tutorials
• How Support Vector Machines work / How to open a black box
• The Kernel Trick – THE MATH YOU SHOULD KNOW!
• Support Vector Machines Part 3: The Radial (RBF) Kernel
• Machine Learning: Support Vector Machine – Kernel Trick
• Introduction to Support Vector Machine (SVM) and Kernel Trick (How does SVM and Kernel work?)
• Support Vector Machines – THE MATH YOU SHOULD KNOW
• SVM Gamma Parameter
• Support Vector Machine (SVM) Basic Intuition- Part 1| Machine Learning
• Classifciation App (Classification learner) in Matlab. Trees, SVMS KNN ADA boost .
• R-Session 9 – Statistical Learning – Support Vector Machines
• The Kernel Trick
• Support Vector Machines (SVMs): A friendly introduction
• Support Vector Machine Tutorial Using R | SVM Algorithm Explained | Data Science Training | Edureka
• Support Vector Machine – SVM – Classification Implementation for Beginners (using python) – Detailed
• Nonlinear SVM and Kernel Function
• IAML2.21: Binary vs. multiclass classifiers
• 13 Support Vector Machine(SVM) Radial Basis Function(RBF) Kernel 1
• The C Parameter for Support Vector Machines – GCB 535
• MLcb: Ví d? v? Kernel Support Vector Machine
• Logistic Vs SVM Vs Decision Tree
• Support Vector Machines (SVMs)
• 15 Support Vector Machine(SVM) Radial Basis? Function(RBF) Kernel 3
• IEEE 2012 MATLAB Speech Emotion Recognition based on Optimized Support Vector Machine
• Support Vector Machine – Machine Learning
• Kernel Trick in Support Vector Machine (SVM)
• Q-Metric Based Support Vector Machine
• Machine Learning: What is a Support Vector Machine?
• ENVI Support Vector Machine Classification
• Non-linear Support Vector Machine demo using RBF kernel 04
• Fruits Classification Using Support Vector Machine|SVM| in matlab|ieee projects at bangalore
• 12 Support Vector Machine(SVM) Polynomial Kernel Detail Explanation
• SUPPORT VECTOR MACHINE CLASSIFICATION BY ENVI 4.7
• 14 Support Vector Machine(SVM) Radial Basis Function Kernel 2
• APPLICATION OF SUPPORT VECTOR MACHINE AND GENETIC ALGORITHM FOR IMPROVED BLOOD CELL RECOGNITION
• Non-linear Support Vector Machine demo using RBF kernel 01
• Support vector machine: XOR example
• Azure Machine Learning Studio: Two-Class Support Vector Machine
• Android Support Vector Machine Demo – Classifying Movement
• 01 What is Support Vector Machine and How SVM Works?
• Support Vector Machine in ENVI: Supervised Classification
• 11 Polynomial Kernel in Support Vector Machine(SVM) detail Explanation
• 09 The C(Classification) Parameter in Support Vector Machine(SVM)
• 10 Support Vector Machine(SVM) Polynomial Kernel With an Example
• Machine Learning: Support Vector Machine
• Training 7 – Remote sensing using R: Support Vector Machine
• Non-linear Support Vector Machine demo using RBF kernel 02
• Non-linear Support Vector Machine demo using RBF kernel 03
• 05 Support Vector Machine(SVM) Perceptron Algorithm with Example
• Support vector machine in telugu
• 02 Support Vector Machine(SVM) Ques: Which Line Is Better?
• 04 Error Function in Support Vector Machine(SVM)
• 07 Support Vector Machine(SVM) Margin Error Detail Explanation
• Digit recognition with machine learning (Support Vector Machine + HOG)
• 03 Minimizing Distances in Support Vector Machine(SVM) Detail Explanation
• Linear Support Vector Machine demo
• [Machine Learning] SVM (Support Vector Machine)
• Alteryx Designer Support Vector Machine How To
• Watch a machine learn (Support vector machine + online + multiclass 1-vs-rest + negative mining)
• Sistem Klasifikasi Aritmia Pada Elektrokardiogram Menggunakan Metode Fuzzy Support Vector Machine
• ENVI Support Vector Machine Classification
• Support Vector Machine Classification ENVI
• Support Vector Machine in 60s (Trailer)
• Support Vector Machine Algorithm
• Image denoising using least squares support vector machine
• Support Vector Machine Classification in Python #coursera #courseraquizanswers
• Support Vector Machine Matlab Code 3D Projects
• Support Vector Machine Indicator – indicator for MetaTrader 5
• Real-time Speech Emotion Recognition Using Support Vector Machine |ieee 2020 projects at bangalore
• Image Processing: Setup SVM (Support vector machine)
• [Simple] Support Vector Machine
• Using a Support Vector Machine to Analyze RSI’s Predictive Power
• Algoritma Support Vector Machine (SVM)
• Fast Flood Simulation Using Support Vector Machine
• Non-Parametric Human Segmentation Using Support Vector Machine