Coursera web intelligence and big data lecture videos unit7A predict Web Intelligence and Big Data Linear Prediction 1100 mp4 | F871965E36EC21677D44375930D6CBB0DAB7BFB3

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Coursera web intelligence and big data
Lecture videos unit7A predict Web Intelligence and Big Data Linear Prediction 1100 mp4

Name	coursera-web-intelligence-and-big-data	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	1.5 GB
Total Files	123
Last Seen	2025-05-12 23:39
Hash	F871965E36EC21677D44375930D6CBB0DAB7BFB3

/lecture-videos/unit7A-predict/Web Intelligence and Big Data 9.1 7-2 Linear Prediction (1100).mp4	14.3 MB
/lecture-videos/unit7A-predict/Web Intelligence and Big Data 9.2 7-3 Least Squares (1208).mp4	16.1 MB
/lecture-videos/unit7A-predict/Web Intelligence and Big Data 9.3 7-4 Nonlinear Models (926).mp4	12.1 MB
/lecture-videos/unit7A-predict/Web Intelligence and Big Data 9.4 7-5 Learning Parameters (1235).mp4	16.9 MB
/lecture-videos/unit7A-predict/Web Intelligence and Big Data 9.0 7-1 Preamble (234).mp4	3.2 MB
/lecture-videos/unit7A-predict/Web Intelligence and Big Data 9.5 7-6 Prediction Applications (830).mp4	11.5 MB
/lecture-videos/unit7A-predict/Web Intelligence and Big Data 9.6 7-7 Which Technique (613).mp4	8.4 MB
/lecture-videos/unit7A-predict/Web Intelligence and Big Data 9.9 7-10 Blackboard Architecture (906).mp4	12.7 MB
/lecture-videos/unit1-look/Web Intelligence and Big Data 1.1 1-2 Index Creation (540).mp4	7.5 MB
/lecture-videos/unit1-look/Web Intelligence and Big Data 1.13 1-7-5 LSH Intuition (408).mp4	5.3 MB
/lecture-videos/unit2-listen/Web Intelligence and Big Data 2.1 2-2 Shannon Information (618).mp4	8.6 MB
/lecture-videos/unit3-load-I/Web Intelligence and Big Data 3.2 3-3 Map-Reduce (1149).mp4	15.6 MB
/lecture-videos/unit5-learn/Web Intelligence and Big Data 7.3 5-4 Learning Rules (1011).mp4	13.8 MB
/lecture-videos/unit6-connect/Web Intelligence and Big Data 8.0 6-1 Preamble (907).mp4	12.2 MB
/lecture-videos/unit6-connect/Web Intelligence and Big Data 8.1 6-2 Logical Inference (956).mp4	13.3 MB
Showing first 15 files of 123 total files

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