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01. Part 1 Introduction/01_01-Introduction to Scalable Machine Learning.mp4 50.32 MB
01. Part 1 Introduction/01_02-Some Machine Learning Background.mp4 55.9 MB
01. Part 1 Introduction/01_03-Algorithms for Large Scale Learning.mp4 90.49 MB
02. Part 2 Hadoop And Friends/02_01-Overview of Hadoop and Current Big Data Systems.mp4 62.08 MB
03. Part 3 Programming for Data Flow Systems/03_01-How Programming for Data Flow Differs.mp4 72.64 MB
03. Part 3 Programming for Data Flow Systems/03_02-Basic Spark.mp4 86.11 MB
03. Part 3 Programming for Data Flow Systems/03_03-Working with Vectors and Matrices in Spark.mp4 156.01 MB
03. Part 3 Programming for Data Flow Systems/03_04-A Brief Tour of Spark ML.mp4 131.72 MB
04. Part 4 Beyond Paralleization/04_01-Approximation is the Key.mp4 69.15 MB
05. Part 5 Practical Big Data/05_01-Practical Big Data.mp4 31 MB
05. Part 5 Practical Big Data/05_02-Size vs. Complexity.mp4 22.93 MB
05. Part 5 Practical Big Data/05_03-Summary.mp4 12.91 MB
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