Support Vector Machine in Machine Learning | SVM Algorithm | Tutorialspoint

preview_player
Показать описание
What is a Support Vector Machine in a Machine Learning Algorithm? In this tutorial, you will learn about Support Vector Machine, Hyperplane, Support Vector, Margin, and more.
Use coupon ""YOUTUBE12"" to get “FLAT 12%’’ OFF at Checkout.
Quality Learning to UPSKILL yourself only at TutorialsPoint.

Timestamps
0:30 Why Support Vector Machine?
1:08 What is Support Vector Machine?
1:55 Technical Terms
3:16 Understanding SVM
4:27 Advantages
5:06 Applications

Support Vector Machine (SVM) is a powerful and versatile supervised learning algorithm that looks at data and sorts it into one of the two categories.
In this series you will learn all types of Machine Learning Algorithms, Supervised Learning, Unsupervised Learning, Reinforcement Learning, KNN, Decision Tree, Linear Regression, Support Vector Machine, Random Forest, Naive Bayes, Logistic regression, K means clustering, Hierarchical clustering, Anomaly detection, Q learning, Deep Q Networks, and more.

Tutorialspoint, a leading ed-tech platform, offers Simply Easy Learning at affordable prices.
Subscribe to our Channel to get more related updates and turn on the notification:


#tutorialspoint #machinelearningalgorithm #supportvectormachines #AI #ML #machinelearning #supportvectormachine #supervisedlearning #unsupervisedlearning #reinforcementlearning #typesofmachinelearning
Рекомендации по теме
Комментарии
Автор

Thank you so much. I was looking for simplified explanation for SVM, the way of explanation was very simplified where even a NON - IT guy like was able to understand in this short.🙂

harshithc
Автор

Thank you so much for this amazing playlist! It helped me understand the topics so well, and I got great marks in my semester exam because of it. Grateful for the clear explanations and the effort you put in. Keep up the great work!❤❤❤☺️😊☺️👍

KrishKumar-lyik
Автор

Thanks it is the simplest method I have ever seen... 🎉

yogi_hariyani
welcome to shbcf.ru