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NOC:Algorithms for Big Data

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NOC:Algorithms for Big Data

Validity Unlimited NOC:Algorithms for Big Data All Level NOC:Algorithms for Big Data English

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About This Course

"Big data is data so large that it does not fit in the main memory of a single machine, and the need to process big data by efficient algorithms arises in Internet search, network traffic monitoring, machine learning, scientific computing, signal processing, and several other areas. This course will cover mathematically rigorous models for developing such algorithms, as well as some provable limitations of algorithms operating in those models.

  • NOC:Algorithms for Big Data Total 8 Modules
  • NOC:Algorithms for Big Data 48 Videos
  • NOC:Algorithms for Big Data Downloadable on mobile
  • NOC:Algorithms for Big Data Published on 01 July, 2019

Course Curriculum

Week 1

NOC:Algorithms for Big Data
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    Lesson 1 - Basic definitions

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    Lesson 2 - Conditional probability

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    Lesson 3 - Example problems

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    Lesson 4 - Karger's mincut algorithm

    10m <?php echo  $alt; ?>
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    Lesson 5 - Analysis of Karger's mincut algorithm

    15m <?php echo  $alt; ?>
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    Lesson 6 - Random variables

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    Lesson 7 - Randomized quicksort

    42m <?php echo  $alt; ?>
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    Problem solving video - The rich get richer

    13m <?php echo  $alt; ?>
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    Problem solving video - Monty Hall problem

    10m <?php echo  $alt; ?>

Week 2

NOC:Algorithms for Big Data
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    Lesson 1 - Bernoulli, Binomial, and Geometric distributions

    17m <?php echo  $alt; ?>
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    Lesson 2 - Tail Bounds

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    Lesson 3 - Application of Chernoff bound

    14m <?php echo  $alt; ?>
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    Lesson 4 - Application of Chebyshev's inequality

    24m <?php echo  $alt; ?>

Week 3

NOC:Algorithms for Big Data
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    Lesson 1 - Intro to Big Data Algorithms

    39m <?php echo  $alt; ?>
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    Lesson 2 - SAT Problem

    39m <?php echo  $alt; ?>
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    Lesson 3 - Classification of States

    18m <?php echo  $alt; ?>
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    Lesson 4 - Stationary Distribution of a Markov Chain

    18m <?php echo  $alt; ?>
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    Lesson 5 - Celebrities Case Study

    17m <?php echo  $alt; ?>
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    Lesson 6 - Random Walks on Undirected Graphs

    22m <?php echo  $alt; ?>
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    Lesson 8 - Reservoir Sampling

    12m <?php echo  $alt; ?>
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    Lesson 7 - Intro to Streaming, Morris Algorithm

    12m <?php echo  $alt; ?>
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    Lesson 9 - Approximate Median

    10m <?php echo  $alt; ?>

Week 4

NOC:Algorithms for Big Data
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    Lesson 2 : Balls, bins, hashing

    9m <?php echo  $alt; ?>
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    Lesson 1 : Overview

    9m <?php echo  $alt; ?>
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    Lesson 3 : Chain hashing, SUHA, Power of Two choices

    19m <?php echo  $alt; ?>
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    Lesson 4 : Bloom filter

    32m <?php echo  $alt; ?>
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    Lesson 5 : Pairwise independence

    23m <?php echo  $alt; ?>
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    Lesson 6 : Estimating expectation of continuous function

    23m <?php echo  $alt; ?>

Week 5

NOC:Algorithms for Big Data
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    Lesson 2 - Perfect hashing

    16m <?php echo  $alt; ?>
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    Lesson 1 - Universal hash functions

    16m <?php echo  $alt; ?>
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    Lesson 3 - Count-min filter for heavy hitters in data streams

    5m <?php echo  $alt; ?>
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    Problem solving video - Doubly Stochastic Transition Matrix

    5m <?php echo  $alt; ?>
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    Problem solving video - Random Walks on Linear Structures

    5m <?php echo  $alt; ?>
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    Problem solving video - Cat And Mouse

    6m <?php echo  $alt; ?>
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    Problem solving video - Lollipop Graph

    6m <?php echo  $alt; ?>

Week 6

NOC:Algorithms for Big Data
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    Lesson 1 - Estimating frequency moments

    36m <?php echo  $alt; ?>
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    Lesson 2 - Property testing framework

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    Lesson 3 - Testing Connectivity

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    Lesson 4 - Enforce & Test Introduction

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    Lesson 5 - Testing if a graph is a biclique

    15m <?php echo  $alt; ?>
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    Lesson 6 - Testing bipartiteness

    23m <?php echo  $alt; ?>

Week 7

NOC:Algorithms for Big Data
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    Lesson 1 - Property testing and random walk algorithms

    26m <?php echo  $alt; ?>
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    Lesson 2 - Testing if a graph is bipartite (using random walks)

    40m <?php echo  $alt; ?>
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    Lesson 3 - Graph streaming algorithms: Introduction

    23m <?php echo  $alt; ?>
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    Lesson 4 - Graph streaming algorithms: Matching

    29m <?php echo  $alt; ?>
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    Lesson 5 - Graph streaming algorithms: Graph sparsification

    29m <?php echo  $alt; ?>

Week 8

NOC:Algorithms for Big Data
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    Lesson 1 - MapReduce

    1h 65 min <?php echo  $alt; ?>
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    Lesson 2 - K-Machine Model (aka Pregel Model)

    1h 63 min <?php echo  $alt; ?>

Review & Ratings

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https://study247.s3-accelerate.amazonaws.com/studyx

Neesha Choudhary

01 Jul 2022 12:51 PM

Excellent

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