[ FreeCourseWeb ] Udemy - Anomaly Detection

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[ FreeCourseWeb.com ] Udemy - Anomaly Detection
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction
    • 1. Introduction-en_US.srt (1.6 KB)
    • 1. Introduction.mp4 (12.1 MB)
    10. Anomaly Detection - Supervised
    • 1. Anomaly Detection - Supervised-en_US.srt (4.5 KB)
    • 1. Anomaly Detection - Supervised.mp4 (24.9 MB)
    11. Anomaly Detection - Images
    • 1. Anomaly Detection - Images-en_US.srt (4.2 KB)
    • 1. Anomaly Detection - Images.mp4 (25.1 MB)
    12. Python Programming
    • 1. Introduction to Colab Google Cloud Development Environment-en_US.srt (8.3 KB)
    • 1. Introduction to Colab Google Cloud Development Environment.mp4 (25.9 MB)
    • 10. Tuple-en_US.srt (5.3 KB)
    • 10. Tuple.mp4 (19.8 MB)
    • 11. Set-en_US.srt (4.8 KB)
    • 11. Set.mp4 (19.7 MB)
    • 12. Dictionary-en_US.srt (2.8 KB)
    • 12. Dictionary.mp4 (13.0 MB)
    • 13. Getting Started with NumPy-en_US.srt (8.7 KB)
    • 13. Getting Started with NumPy.mp4 (28.5 MB)
    • 14. NumPy Shape in Arrays-en_US.srt (4.0 KB)
    • 14. NumPy Shape in Arrays.mp4 (12.7 MB)
    • 15. NumPy Joining Arrays-en_US.srt (2.8 KB)
    • 15. NumPy Joining Arrays.mp4 (13.4 MB)
    • 16. NumPy Splitting Arrays-en_US.srt (1.7 KB)
    • 16. NumPy Splitting Arrays.mp4 (6.1 MB)
    • 17. NumPy Searching and Sorting Arrays-en_US.srt (2.7 KB)
    • 17. NumPy Searching and Sorting Arrays.mp4 (10.3 MB)
    • 18. Getting Started with Pandas-en_US.srt (7.3 KB)
    • 18. Getting Started with Pandas.mp4 (34.2 MB)
    • 19. Pandas Dataframe-en_US.srt (6.4 KB)
    • 19. Pandas Dataframe.mp4 (28.1 MB)
    • 2. Getting Started with Python-en_US.srt (4.6 KB)
    • 2. Getting Started with Python.mp4 (13.7 MB)
    • 20. Pandas Descriptive Statistics-en_US.srt (3.5 KB)
    • 20. Pandas Descriptive Statistics.mp4 (10.8 MB)
    • 21. Pandas Sorting, Slicing, Flipping, Grouping Data-en_US.srt (7.2 KB)
    • 21. Pandas Sorting, Slicing, Flipping, Grouping Data.mp4 (22.7 MB)
    • 22. Data Visualization using Matplotlib-en_US.srt (8.4 KB)
    • 22. Data Visualization using Matplotlib.mp4 (33.0 MB)
    • 3. Variables-en_US.srt (7.4 KB)
    • 3. Variables.mp4 (24.6 MB)
    • 4. Operators-en_US.srt (5.4 KB)
    • 4. Operators.mp4 (18.8 MB)
    • 5. Conditions-en_US.srt (6.3 KB)
    • 5. Conditions.mp4 (18.3 MB)
    • 6. Loops-en_US.srt (7.3 KB)
    • 6. Loops.mp4 (19.9 MB)
    • 7. Functions-en_US.srt (5.3 KB)
    • 7. Functions.mp4 (15.3 MB)
    • 8. Arrays-en_US.srt (4.0 KB)
    • 8. Arrays.mp4 (20.1 MB)
    • 9. List-en_US.srt (4.5 KB)
    • 9. List.mp4 (15.4 MB)
    2. Understanding Anomalies
    • 1. Understanding Anomalies-en_US.srt (5.3 KB)
    • 1. Understanding Anomalies.mp4 (22.3 MB)
    • 2. Application Scenarios-en_US.srt (3.5 KB)
    • 2. Application Scenarios.mp4 (12.4 MB)
    3. Machine Learning Concepts
    • 1. Machine Learning Concepts-en_US.srt (34.5 KB)
    • 1. Machine Learning Concepts.mp4 (149.0 MB)
    4. Introduction to Colab Google Cloud Development Environment
    • 1. Introduction to Colab Google Cloud Development Environment-en_US.srt (8.3 KB)
    • 1. Introduction to Colab Google Cloud Development Environment.mp4 (25.9 MB)
    5. Logistic Regression and Introduction to Deep Learning
    • 1. Logistic Regression and Introduction to Deep Learning-en_US.srt (45.3 KB)
    • 1. Logistic Regression and Introduction to Deep Learning.mp4 (219.2 MB)
    6. Unsupervised Learning
    • 1. Unsupervised Learning-en_US.srt (47.4 KB)
    • 1. Unsupervised Learning.mp4 (230.2 MB)
    7. Anomaly Detection - Time Series
    • 1. Anomaly Detection - Time Series-en_US.srt (8.6 KB)
    • 1. Anomaly Detection - Time Series.mp4 (40.1 MB)
    8. Anomaly Detection - Unsupervised DBSCAN
    • 1. Anomaly Detection - Unsupervised DBSCAN-en_US.srt (4.3 KB)
    • 1. Anomaly Detection - Unsupervised DBSCAN.mp4 (23.4 MB)
    9. Anomaly Detection - Unsupervised Isolation Forest
    • 1. Anomaly Detection - Unsupervised Isolation Forest-en_US.srt (5.6 KB)
    • 1. Anomaly Detection - Unsupervised Isolation Forest.mp4 (28.1 MB)
    • Bonus Resources.txt (0.3 KB)

Description

Anomaly Detection

MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 1.20 GB | Duration: 4h 29m
What you'll learn
What is an anomaly?
What are the areas where anomaly detection can be applied?
What are the three types of anomaly detection techniques?
How to analyze time based data for anomalies?
How to use supervised learning to identify anomalies?
How to apply unsupervised learning algorithms like DBSCAN and Isolation Forest to detect anomalies?
How to analyze images and identify anomalies among them?
Requirements
None.
Description
An anomaly is a data point that doesn’t fit or gel with other data points. Detecting this anomaly point or a set of anomaly points in a process area can be highly beneficial as it can point to potential issues affecting the organization. In fact, anomaly detection has been the most widely adopted area with in the artificial intelligence - machine learning space in the world of business. As a practitioner of AI, I always ask my clients to start off with anomaly detection in their AI journey because anomaly detection can be applied even when data availability is limited.

Anomaly detection can be applied in the following areas:

· Predictive maintenance in the manufacturing industry

· Fraud detection across industries

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[ FreeCourseWeb ] Udemy - Anomaly Detection

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1.2 GB
seeders:8
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[ FreeCourseWeb ] Udemy - Anomaly Detection

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