Blog Archives

Big Data-4: Webserver log analysis with RDDs, Pyspark, SparkR and SparklyR

May 11, 2019
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Big Data-4: Webserver log analysis with RDDs, Pyspark, SparkR and SparklyR

“There’s something so paradoxical about pi. On the one hand, it represents order, as embodied by the shape of a circle, long held to be a symbol of perfection and eternity. On the other hand, pi is unruly, disheveled in appearance, its digits obeying no obvious rule, or at least none that we can perceive. … Continue reading Big...

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My book ‘Cricket analytics with cricketr and cricpy’ is now on Amazon

April 29, 2019
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My book ‘Cricket analytics with cricketr and cricpy’ is now on Amazon

‘Cricket analytics with cricketr and cricpy – Analytics harmony with R and Python’ is now available on Amazon in both paperback ($21.99) and kindle ($9.99/Rs 449) versions. The book includes analysis of cricketers using both my R package ‘cricketr’ and my python package ‘cricpy’ for all formats of the game namely Test, ODI and T20. … Continue reading My...

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Revisiting World Bank data analysis with WDI and gVisMotionChart

April 14, 2019
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Revisiting World Bank data analysis with WDI and gVisMotionChart

Note: I had written a post about 3 years back on World Bank Data Analysis using World Development Indicators (WDI) & gVisMotionCharts. But the motion charts stopped working  some time ago. I have always been wanting to fix this and I now got to actually doing it. The issue was 2 of the WDI indicators … Continue reading Revisiting...

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Big Data: On RDDs, Dataframes,Hive QL with Pyspark and SparkR-Part 3

April 12, 2019
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Big Data: On RDDs, Dataframes,Hive QL with Pyspark and SparkR-Part 3

Some people, when confronted with a problem, think “I know, I’ll use regular expressions.” Now they have two problems. – Jamie Zawinski Some programmers, when confronted with a problem, think “I know, I’ll use floating point arithmetic.” Now they have 1.999999999997 problems. – @tomscott Some people, when confronted with a problem, think “I know, I’ll … Continue reading Big...

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Analyzing performances of cricketers using cricketr template

March 30, 2019
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This post includes a template which you can use for analyzing the performances of cricketers, both batsmen and bowlers in Test, ODI and Twenty 20 cricket using my R package cricketr. To see actual usage of functions in the R package cricketr see Introducing cricketr! : An R package to analyze performances of cricketers. This template can … Continue reading Analyzing...

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The Clash of the Titans in Test and ODI cricket

March 15, 2019
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The Clash of the Titans in Test and ODI cricket

Who looks outside, dreams; who looks inside, awakes. Show me a sane man and I will cure him for you. Carl Jung   We’re made of star stuff. We are a way for the cosmos to know itself. If you want to make an apple pie from scratch, you must first create the universe. Carl … Continue reading The...

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Take 4+: Presentations on ‘Elements of Neural Networks and Deep Learning’ – Parts 1-8

February 16, 2019
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Take 4+: Presentations on ‘Elements of Neural Networks and Deep Learning’ – Parts 1-8

“Lights, camera and … action – Take 4+!” This post includes  a rework of all presentation of ‘Elements of Neural Networks and Deep  Learning Parts 1-8 ‘ since my earlier presentations had some missing parts, omissions and some occasional errors. So I have re-recorded all the presentations. This series of presentation will do a deep-dive  into … Continue reading Take...

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My presentations on ‘Elements of Neural Networks & Deep Learning’ -Parts 6,7,8

January 20, 2019
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My presentations on ‘Elements of Neural Networks & Deep Learning’ -Parts 6,7,8

This is the final set of presentations in my series ‘Elements of Neural Networks and Deep Learning’. This set follows the earlier 2 sets of presentations namely 1. My presentations on ‘Elements of Neural Networks & Deep Learning’ -Part1,2,3 2. My presentations on ‘Elements of Neural Networks & Deep Learning’ -Parts 4,5 In this final … Continue reading My...

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My presentations on ‘Elements of Neural Networks & Deep Learning’ -Parts 4,5

January 14, 2019
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My presentations on ‘Elements of Neural Networks & Deep Learning’ -Parts 4,5

This is the next set of presentations on “Elements of Neural Networks and Deep Learning”.  In the 4th presentation I discuss and derive the generalized equations for a multi-unit, multi-layer Deep Learning network.  The 5th presentation derives the equations for a Deep Learning network when performing multi-class classification along with the derivations for cross-entropy loss. The corresponding … Continue reading My...

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My presentations on ‘Elements of Neural Networks & Deep Learning’ -Part1,2,3

January 9, 2019
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My presentations on ‘Elements of Neural Networks & Deep Learning’ -Part1,2,3

I will be uploading a series of presentations on ‘Elements of Neural Networks and Deep Learning’. In these video presentations I discuss the derivations of L -Layer Deep Learning Networks, starting from the basics. The corresponding implementations are available in vectorized R, Python and Octave are available in my book ‘Deep Learning from first principles:Second … Continue reading My...

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