A Guide to Spark Programming with DataFramesThis blog covers the exploration of the ML-100k dataset using Spark DataFrames and Spark SQL.Dec 16, 2023Dec 16, 2023
Spark Programming with RDDs: Exploring the ML-100K DatasetThis post covers the implemetation of Spark Programs using RDDs to perform data analysis on the ML-100k dataset.Dec 14, 2023Dec 14, 2023
Beyond MapReduce: Navigating Hadoop with HiveThis tutorial takes a look at Hive queries and how we can implement them to solve problem statements based on the ML-100K dataset.Dec 8, 2023Dec 8, 2023
5. Learning Hadoop with ML-100k — Multiple JoinsA MapReduce program in Java that implements multiple joinsDec 2, 2023Dec 2, 2023
Learning Hadoop with ML-100k — Part 4A MapReduce program that shows how to implement joins in Hadoop using Distributed Cache.Dec 2, 2023Dec 2, 2023
Learning Hadoop with ML-100k — Part 3This tutorial takes a look at computing average through a MapReduce program using the ML-100k dataset.Nov 27, 2023Nov 27, 2023
Learning Hadoop with ML-100k — Part 2A Hadoop MapReduce tutorial in Java to count and sort values.Nov 26, 2023Nov 26, 2023
Learning Hadoop with ML-100k — Part 1The first part in a tutorial series that explores the Hadoop ecosystem.Nov 22, 2023Nov 22, 2023
Published inThe StartupLearning Rates and the Convergence of Gradient Descent — Understanding Efficient BackProp Part 3IntroductionJul 27, 2020Jul 27, 2020
Standard backpropagation and practical optimization — Understanding Efficient BackProp Part 2IntroductionJul 19, 2020Jul 19, 2020
