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[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/029. Chapter 6. Streaming data Bringing everything together.mp4 46.8 MB[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/035. Chapter 7. Sampling from data streams.mp4 44.9 MB[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/047. Chapter 8. Quantile queries with q-digests.mp4 42.4 MB[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/038. Chapter 7. Sampling from a sliding window.mp4 40.7 MB[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/037. Chapter 7. Biased reservoir sampling.mp4 39.5 MB[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/008. Chapter 2. Usage scenarios in modern systems.mp4 38.4 MB[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/049. Chapter 9. Introducing the external memory model.mp4 38.4 MB[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/007. Chapter 2. Review of hash tables and modern hashing.mp4 37.4 MB[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/022. Chapter 4. Range queries with count-min sketch.mp4 37.0 MB[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/020. Chapter 4. Update.mp4 36.1 MB[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/034. Chapter 6. Biased sampling strategy.mp4 34.0 MB[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/019. Chapter 4. Frequency estimation and count-min sketch.mp4 33.0 MB[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/060. Chapter 10. Lookups.mp4 32.8 MB[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/009. Chapter 2. Collision resolution Theory vs. practice.mp4 32.6 MB[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/036. Chapter 7. Reservoir sampling.mp4 32.3 MB[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/061. Chapter 10. Log-structured merge-trees (LSM-trees).mp4 32.1 MB[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/012. Chapter 3. Approximate membership Bloom and quotient filters.mp4 32.0 MB[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/046. Chapter 8. Q-digest.mp4 31.9 MB[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/052. Chapter 9. Optimal searching.mp4 31.9 MB[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/041. Chapter 8. Approximate quantiles on data streams.mp4 31.6 MB [ FreeCourseWeb.com ] Strata Data Superstream Series -... 4.0 GB [FreeTutorials.Us]... 133.7 MB 365 Data Science - Intro to Data and Data Science [CoursesGhar] 1.1 GB [ CourseMega.com ] Udemy - Tableau Data Analyst - Data... 527.7 MB [ DevCourseWeb.com ] Udemy - Big Data Programming... 260.5 MB [ TutGee.com ] Udemy - Data Exploration Data Analysis ... 541.2 MB [ CourseMega.com ] Excel Essentials for Entering Data,... 1.4 GB
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