Random Sampling Consensus (RANSAC) | Anomaly Detection | Explained with Example

RoboSathi · Beginner ·📐 ML Fundamentals ·5mo ago

Skills: Unsupervised Learning53%

About this lesson

📘 Notes:- https://robosathi.com/docs/machine_learning/unsupervised/anomaly_detection/ransac/ 🎥 NLP Course: https://www.youtube.com/playlist?list=PLnpa6KP2ZQxcDlHCeNiKbRhLWKVunQaxn 🎥 Deep Learning Course: https://www.youtube.com/playlist?list=PLnpa6KP2ZQxe749nPGDV2cd6SR6zIZIJl 🎥 Machine Learning Course: https://www.youtube.com/playlist?list=PLnpa6KP2ZQxeydAqz2lsSMFYinbrJy9mu 🎥 Full Maths Course: https://www.youtube.com/playlist?list=PLnpa6KP2ZQxen-R6NytSMigAri7piPhFp 🎥 Next Video: Principal Component Analysis (PCA) :- https://youtu.be/xJ2I0Rsu9i8 👉 In this video, we explain Random Sampling Consensus (RANSAC) — a beautiful algorithm used for robust model fitting in the presence of outliers. 🎯 Learning Objectives ✅ Understand where and why RANSAC is used ✅ Identify the problem RANSAC solves (outliers in data) ✅ Learn the step-by-step RANSAC algorithm ✅ Walk through a clear RANSAC example ✅ Understand how to choose the number of iterations (k) 👉 Maths for ML Playlist: https://www.youtube.com/playlist?list=PLnpa6KP2ZQxePOg6k6vAkcg5Y50EAZds9 🕔 Time Stamp 🕘 00:00:00 - 00:00:22 Introduction 00:00:23 - 00:03:03 Uses of Random Sampling Consensus (RANSAC) 00:03:04 - 00:04:41 Problem Solving 00:04:42 - 00:09:30 RANSAC Algorithm 00:09:31 - 00:10:50 RANSAC Example 00:10:51 - 00:12:43 How many iterations 'k'? 00:12:44 - 00:13:45 What's Next? 🤔 #ai #ml #ransac

Original Description

📘 Notes:- https://robosathi.com/docs/machine_learning/unsupervised/anomaly_detection/ransac/ 🎥 NLP Course: https://www.youtube.com/playlist?list=PLnpa6KP2ZQxcDlHCeNiKbRhLWKVunQaxn 🎥 Deep Learning Course: https://www.youtube.com/playlist?list=PLnpa6KP2ZQxe749nPGDV2cd6SR6zIZIJl 🎥 Machine Learning Course: https://www.youtube.com/playlist?list=PLnpa6KP2ZQxeydAqz2lsSMFYinbrJy9mu 🎥 Full Maths Course: https://www.youtube.com/playlist?list=PLnpa6KP2ZQxen-R6NytSMigAri7piPhFp 🎥 Next Video: Principal Component Analysis (PCA) :- https://youtu.be/xJ2I0Rsu9i8 👉 In this video, we explain Random Sampling Consensus (RANSAC) — a beautiful algorithm used for robust model fitting in the presence of outliers. 🎯 Learning Objectives ✅ Understand where and why RANSAC is used ✅ Identify the problem RANSAC solves (outliers in data) ✅ Learn the step-by-step RANSAC algorithm ✅ Walk through a clear RANSAC example ✅ Understand how to choose the number of iterations (k) 👉 Maths for ML Playlist: https://www.youtube.com/playlist?list=PLnpa6KP2ZQxePOg6k6vAkcg5Y50EAZds9 🕔 Time Stamp 🕘 00:00:00 - 00:00:22 Introduction 00:00:23 - 00:03:03 Uses of Random Sampling Consensus (RANSAC) 00:03:04 - 00:04:41 Problem Solving 00:04:42 - 00:09:30 RANSAC Algorithm 00:09:31 - 00:10:50 RANSAC Example 00:10:51 - 00:12:43 How many iterations 'k'? 00:12:44 - 00:13:45 What's Next? 🤔 #ai #ml #ransac

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Chapters (7)

00:00:22 Introduction

0:23 00:03:03 Uses of Random Sampling Consensus (RANSAC)

3:04 00:04:41 Problem Solving

4:42 00:09:30 RANSAC Algorithm

9:31 00:10:50 RANSAC Example

10:51 00:12:43 How many iterations 'k'?

12:44 00:13:45 What's Next? 🤔

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