Detecting Data Anomalies using Deep Learning Techniques with TensorFlow (Andrei Pruteanu, 2021)
File List
- 5. Detection Algorithms/3. Demo - Deep-Learning Approaches Part 1.mp4 28.3 MB
- 5. Detection Algorithms/4. Demo - Deep-Learning Approaches Part 2.mp4 25.2 MB
- 6. Mitigation Techniques/1. Techniques and Metrics.mp4 16.5 MB
- 5. Detection Algorithms/1. Demo - Statistical Approaches Part 1.mp4 16.1 MB
- 4. Definition and Anomaly Types/1. Taxonomy.mp4 14.1 MB
- 4. Definition and Anomaly Types/2. Real Data.mp4 12.9 MB
- 5. Detection Algorithms/2. Demo - Statistical Approaches Part 2.mp4 12.2 MB
- 3. Exploratory Data Analysis/3. Demo - EDA Part 2.mp4 11.1 MB
- 2. Introduction/2. Summary.mp4 8.5 MB
- 3. Exploratory Data Analysis/2. Demo - EDA Part 1.mp4 8.2 MB
- 2. Introduction/3. Statistical Methods.mp4 6.9 MB
- 3. Exploratory Data Analysis/1. Finding a Dataset.mp4 4.2 MB
- 1. Course Overview/1. Course Overview.mp4 3.8 MB
- 2. Introduction/4. Prerequisites.mp4 3.7 MB
- 2. Introduction/1. Introduction.mp4 3.3 MB
- exercise.7z 1.8 MB
- 5. Detection Algorithms/3. Demo - Deep-Learning Approaches Part 1.vtt 13.6 KB
- 5. Detection Algorithms/4. Demo - Deep-Learning Approaches Part 2.vtt 13.5 KB
- 6. Mitigation Techniques/1. Techniques and Metrics.vtt 11.0 KB
- 5. Detection Algorithms/1. Demo - Statistical Approaches Part 1.vtt 8.7 KB
- 4. Definition and Anomaly Types/1. Taxonomy.vtt 7.4 KB
- 5. Detection Algorithms/2. Demo - Statistical Approaches Part 2.vtt 7.2 KB
- 4. Definition and Anomaly Types/2. Real Data.vtt 7.0 KB
- 3. Exploratory Data Analysis/3. Demo - EDA Part 2.vtt 6.7 KB
- 2. Introduction/2. Summary.vtt 6.4 KB
- 2. Introduction/3. Statistical Methods.vtt 5.5 KB
- 3. Exploratory Data Analysis/2. Demo - EDA Part 1.vtt 4.4 KB
- 2. Introduction/4. Prerequisites.vtt 3.7 KB
- 3. Exploratory Data Analysis/1. Finding a Dataset.vtt 2.9 KB
- 2. Introduction/1. Introduction.vtt 2.7 KB
- 1. Course Overview/1. Course Overview.vtt 2.6 KB
- ~i.txt 1.0 KB
- playlist.m3u 778 bytes
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