Detecting Data Anomalies using Deep Learning Techniques with TensorFlow (Andrei Pruteanu, 2021) - TorrentBank

File Name:Detecting Data Anomalies using Deep Learning Techniques with TensorFlow (Andrei Pruteanu, 2021)

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5. Detection Algorithms/3. Demo - Deep-Learning Approaches Part 1.mp4 28.97 MB
5. Detection Algorithms/4. Demo - Deep-Learning Approaches Part 2.mp4 25.77 MB
6. Mitigation Techniques/1. Techniques and Metrics.mp4 16.86 MB
5. Detection Algorithms/1. Demo - Statistical Approaches Part 1.mp4 16.44 MB
4. Definition and Anomaly Types/1. Taxonomy.mp4 14.44 MB
4. Definition and Anomaly Types/2. Real Data.mp4 13.20 MB
5. Detection Algorithms/2. Demo - Statistical Approaches Part 2.mp4 12.49 MB
3. Exploratory Data Analysis/3. Demo - EDA Part 2.mp4 11.33 MB
2. Introduction/2. Summary.mp4 8.73 MB
3. Exploratory Data Analysis/2. Demo - EDA Part 1.mp4 8.41 MB
2. Introduction/3. Statistical Methods.mp4 7.09 MB
3. Exploratory Data Analysis/1. Finding a Dataset.mp4 4.29 MB
1. Course Overview/1. Course Overview.mp4 3.94 MB
2. Introduction/4. Prerequisites.mp4 3.79 MB
2. Introduction/1. Introduction.mp4 3.36 MB
exercise.7z 1.89 MB
5. Detection Algorithms/3. Demo - Deep-Learning Approaches Part 1.vtt 13 KB
5. Detection Algorithms/4. Demo - Deep-Learning Approaches Part 2.vtt 13 KB
6. Mitigation Techniques/1. Techniques and Metrics.vtt 11 KB
5. Detection Algorithms/1. Demo - Statistical Approaches Part 1.vtt 8 KB
4. Definition and Anomaly Types/1. Taxonomy.vtt 7 KB
5. Detection Algorithms/2. Demo - Statistical Approaches Part 2.vtt 7 KB
4. Definition and Anomaly Types/2. Real Data.vtt 7 KB
3. Exploratory Data Analysis/3. Demo - EDA Part 2.vtt 6 KB
2. Introduction/2. Summary.vtt 6 KB
2. Introduction/3. Statistical Methods.vtt 5 KB
3. Exploratory Data Analysis/2. Demo - EDA Part 1.vtt 4 KB
2. Introduction/4. Prerequisites.vtt 3 KB
3. Exploratory Data Analysis/1. Finding a Dataset.vtt 2 KB
2. Introduction/1. Introduction.vtt 2 KB
1. Course Overview/1. Course Overview.vtt 2 KB
~i.txt 1 KB
playlist.m3u 0 KB
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