Anomaly/Outlier/Novelty Detection Methods | Explained with Example

RoboSathi · Beginner ·📐 ML Fundamentals ·5mo ago

Skills: Unsupervised Learning61%

About this lesson

📘Notes:- https://robosathi.com/docs/machine_learning/unsupervised/anomaly_detection/anomaly-detection/ 🎥 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: Elliptic Envelope :- https://youtu.be/XItazQ0xZUs 🎥 Related Video: 1) DBSCAN :- https://youtu.be/5ngz0Q_7fyo 2) Z-Score :- https://youtu.be/ArsUOjkfERQ 3) K-Means Clustering :- https://youtu.be/s2-eu_hjepQ 4) KNN Optimizations :- https://youtu.be/wakeyfDucBQ 👉 In this video, we explore Anomaly Detection from first principles and build a clear intuition behind how machines identify unusual or abnormal data points. 🎯 Learning Objectives ✅ Understand what is an anomaly? ✅ Differentiate between outliers and anomalies ✅ Decide what to do with outliers ✅ Learn different anomaly detection methods ✅ Understand known vs unsupervised anomaly detection approaches 👉 Maths for ML Playlist: https://www.youtube.com/playlist?list=PLnpa6KP2ZQxePOg6k6vAkcg5Y50EAZds9 🕔 Time Stamp 🕘 00:00:00 - 00:00:18 Introduction 00:00:19 - 00:01:29 What is an Anomaly? 00:01:30 - 00:01:58 What is Anomaly Detection? 00:01:59 - 00:04:11 What to do with Outliers? 00:04:12 - 00:05:17 Anomaly Detection Methods 00:05:18 - 00:07:45 Known Methods 00:07:46 - 00:10:00 Unsupervised Methods 00:10:00 - 00:10:31 What's Next? 🤔 #ai #ml #anomaly #anomalydetection #unsupervised #outliers

Original Description

📘Notes:- https://robosathi.com/docs/machine_learning/unsupervised/anomaly_detection/anomaly-detection/ 🎥 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: Elliptic Envelope :- https://youtu.be/XItazQ0xZUs 🎥 Related Video: 1) DBSCAN :- https://youtu.be/5ngz0Q_7fyo 2) Z-Score :- https://youtu.be/ArsUOjkfERQ 3) K-Means Clustering :- https://youtu.be/s2-eu_hjepQ 4) KNN Optimizations :- https://youtu.be/wakeyfDucBQ 👉 In this video, we explore Anomaly Detection from first principles and build a clear intuition behind how machines identify unusual or abnormal data points. 🎯 Learning Objectives ✅ Understand what is an anomaly? ✅ Differentiate between outliers and anomalies ✅ Decide what to do with outliers ✅ Learn different anomaly detection methods ✅ Understand known vs unsupervised anomaly detection approaches 👉 Maths for ML Playlist: https://www.youtube.com/playlist?list=PLnpa6KP2ZQxePOg6k6vAkcg5Y50EAZds9 🕔 Time Stamp 🕘 00:00:00 - 00:00:18 Introduction 00:00:19 - 00:01:29 What is an Anomaly? 00:01:30 - 00:01:58 What is Anomaly Detection? 00:01:59 - 00:04:11 What to do with Outliers? 00:04:12 - 00:05:17 Anomaly Detection Methods 00:05:18 - 00:07:45 Known Methods 00:07:46 - 00:10:00 Unsupervised Methods 00:10:00 - 00:10:31 What's Next? 🤔 #ai #ml #anomaly #anomalydetection #unsupervised #outliers

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Chapters (8)

00:00:18 Introduction

0:19 00:01:29 What is an Anomaly?

1:30 00:01:58 What is Anomaly Detection?

1:59 00:04:11 What to do with Outliers?

4:12 00:05:17 Anomaly Detection Methods

5:18 00:07:45 Known Methods

7:46 00:10:00 Unsupervised Methods

10:00 00:10:31 What's Next? 🤔

AI & Machine Learning Course Review by Tandeep Sandhu, Solutions Directior