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noc19-cs33 Lec 23 Big Data Machine Learning (Part-I)
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Classroom Contents
Big Data Computing
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- 1 noc19-cs33-Introduction-Big Data Computing
- 2 noc19-cs33 Lecture 1-Introduction to Big Data
- 3 noc19-cs33 Lecture 2-Big Data Enabling Technologies
- 4 noc19-cs33 Lecture 3-Hadoop Stack For Big Data
- 5 noc19-cs33 Lec 04-Hadoop Distributed File System (HDFS)
- 6 noc19-cs33 Lec 05-Hadoop MapReduce 1.0
- 7 noc19-cs33 Lec 06-Hadoop MapReduce 2.0 (Part-I)
- 8 noc19-cs33 Lec 07-Hadoop MapReduce 2.0 (Part-II)
- 9 noc19-cs33 Lec 08-MapReduce Examples
- 10 noc19-cs33 Lec 09-Parallel Programming with Spark
- 11 noc19-cs33 Lec 10-Introduction to Spark
- 12 noc19-cs33 Lec 11-Spark Built-in Libraries
- 13 noc19-cs33 Lec 12-Design of Key-Value Stores
- 14 noc19-cs33 Lec 13 Data Placement Strategies
- 15 noc19-cs33 Lec 14 CAP Theorem
- 16 noc19-cs33 Lec 15 Consistency Solutions
- 17 noc19-cs33 Lec 16 Design of Zookeeper
- 18 noc19-cs33 Lec 17 CQL (Cassandra Query Language)
- 19 noc19-cs33 Lec 18 Design of HBase
- 20 noc19-cs33 Lec 19 Spark Streaming and Sliding Window Analytics (Part-I)
- 21 noc19-cs33 Lec 20 Spark Streaming and Sliding Window Analytics (Part-II)
- 22 noc19-cs33 Lec 21 Sliding Window Analytics
- 23 noc19-cs33 Lec 22 Introduction to Kafka
- 24 noc19-cs33 Lec 23 Big Data Machine Learning (Part-I)
- 25 noc19-cs33 Lec 24 Big Data Machine Learning (Part-II)
- 26 noc19-cs33 Lec 25 Machine Learning Algorithm K-means using Map Reduce for Big Data Analytics
- 27 noc19-cs33 Lec 26 Parallel K-means using Map Reduce on Big Data Cluster Analysis
- 28 noc19-cs33 Lec 27 Decision Trees for Big Data Analytics
- 29 noc19-cs33 Lec 28 Big Data Predictive Analytics (Part-I)
- 30 noc19-cs33 Lec 29 Big Data Predictive Analytics (Part-II)
- 31 noc19-cs33 Lec 30 Parameter Servers
- 32 noc19-cs33 Lec 31 PageRank Algorithm in Big Data
- 33 noc19-cs33 Lec 32 Spark GraphX & Graph Analytics (Part-I)
- 34 noc19-cs33 Lec 33 Spark GraphX & Graph Analytics (Part-II)
- 35 noc19-cs33 Lec 34 Case Study: Flight Data Analysis using Spark GraphX
