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noc19-cs33 Lec 32 Spark GraphX & Graph Analyti...
Introduction This tutorial provides a comprehensive guide to understanding Spark GraphX and graph analytics, foc...
noc19-cs33 Lec 31 PageRank Algorithm in Big Data
Introduction This tutorial provides a comprehensive overview of the PageRank algorithm as discussed in the lectu...
noc19-cs33 Lec 30 Parameter Servers
Introduction This tutorial provides a structured overview of parameter servers, a crucial concept in distributed...
noc19-cs33 Lec 29 Big Data Predictive Analytic...
Introduction This tutorial provides a comprehensive guide to Big Data Predictive Analytics, based on the content...
noc19-cs33 Lec 28 Big Data Predictive Analytic...
Introduction This tutorial provides an overview of Big Data Predictive Analytics based on a lecture from IIT Kan...
noc19-cs33 Lec 27 Decision Trees for Big Data...
Introduction This tutorial provides a comprehensive guide to understanding and implementing decision trees withi...
noc19-cs33 Lec 26 Parallel K-means using Map R...
Introduction This tutorial provides a comprehensive guide to performing parallel K-means clustering using MapRed...
noc19-cs33 Lec 25 Machine Learning Algorithm ...
Introduction This tutorial will guide you through the implementation of the K-means machine learning algorithm u...
noc19-cs33 Lec 24 Big Data Machine Learning (Part-II)
Introduction This tutorial provides a comprehensive overview of key concepts and techniques discussed in the vid...
noc19-cs33 Lec 23 Big Data Machine Learning (Part-I)
Introduction This tutorial provides a comprehensive guide based on the lecture "Big Data Machine Learning (Part-...
noc19-cs33 Lec 22 Introduction to Kafka
Introduction This tutorial provides a comprehensive overview of Apache Kafka, as introduced in the lecture from ...
noc19-cs33 Lec 21 Sliding Window Analytics
Introduction This tutorial covers sliding window analytics, a key concept in data analysis that helps manage and...