corpus.blog
41,554 blogs · 4,981,167 posts Claim your blog
Back to gigadom.in
Blog · corpus.blog/blogs/gigadom.in/posts

gigadom.in

gigadom.in

2017

The 3rd paperback & kindle editions of my books on Cricket, now on Amazonoriginal ↗
16 Dec 2017
My book ‘Practical Machine Learning with R and Python’ on Amazonoriginal ↗
5 Dec 2017
Practical Machine Learning with R and Python – Part 6original ↗
21 Nov 2017
Practical Machine Learning with R and Python – Part 5original ↗
7 Nov 2017
Practical Machine Learning with R and Python – Part 4original ↗
29 Oct 2017
Practical Machine Learning with R and Python – Part 3original ↗
20 Oct 2017
Practical Machine Learning with R and Python – Part 2original ↗
13 Oct 2017
Practical Machine Learning with R and Python – Part 1original ↗
6 Oct 2017
Using Linear Programming (LP) for optimizing bowling change or batting lineup in T20 cricketoriginal ↗
28 Sept 2017
My 2 video presentations on ‘Essential Python for Datascience’original ↗
22 Sept 2017
My travels through the realms of Data Science, Machine Learning, Deep Learning and (AI)original ↗
11 Sept 2017
R vs Python: Different similarities and similar differencesoriginal ↗
22 May 2017
More book, more cricket! 2nd edition of my books now on Amazonoriginal ↗
26 Mar 2017
My 3 video presentations on “Essential R”original ↗
18 Mar 2017
cricketr flexes new muscles: The final analysisoriginal ↗
11 Mar 2017
Analysis of IPL T20 matches with yorkr templatesoriginal ↗
4 Mar 2017
Analysis of International T20 matches with yorkr templatesoriginal ↗
25 Feb 2017
cricketr and yorkr books – Paperback now in Amazonoriginal ↗
18 Feb 2017
Inswinger: yorkr swings into International T20soriginal ↗
14 Feb 2017
Neural Networks: The mechanics of backpropagationoriginal ↗
21 Jan 2017
Neural Networks: On Perceptrons and Sigmoid Neuronsoriginal ↗
17 Jan 2017
GooglyPlus: yorkr analyzes IPL players, teams, matches with plots and tablesoriginal ↗
5 Jan 2017

2016

Googly: An interactive app for analyzing IPL players, matches and teams using R package yorkroriginal ↗
25 Dec 2016
yorkr ranks IPL Players post 2016 seasonoriginal ↗
13 Dec 2016
Video presentation on Machine Learning, Data Science, NLP and Big Data – Part 4original ↗
22 Nov 2016
Video presentation on Machine Learning, Data Science, NLP and Big Data – Part 3original ↗
22 Nov 2016
Video presentation on Machine Learning, Data Science, NLP and Big Data – Part 2original ↗
11 Nov 2016
Video presentation on Machine Learning, Data Science, NLP and Big Data – Part 1original ↗
11 Nov 2016
Analyzing World Bank data with WDI, googleVis Motion Chartsoriginal ↗
18 Sept 2016
cricketr sizes up legendary All-rounders of yesteryearoriginal ↗
10 Sept 2016
IBM Data Science Experience:  First steps with yorkroriginal ↗
4 Sept 2016
Introducing QCSimulator: A 5-qubit quantum computing simulator in Roriginal ↗
23 Jun 2016
Taking a closer look at Quantum gates and their operationsoriginal ↗
15 Jun 2016
Exploring Quantum Gate operations with QCSimulatororiginal ↗
5 Jun 2016
A primer on Qubits, Quantum gates and Quantum Operationsoriginal ↗
1 Jun 2016
Going deeper into IBM’s Quantum Experience!original ↗
24 May 2016
Venturing into IBM’s Quantum Experienceoriginal ↗
18 May 2016
Re-introducing cricketr! : An R package to analyze performances of cricketersoriginal ↗
14 May 2016
Beaten by sheer pace! Cricket analytics with yorkr in paperback and Kindle versionsoriginal ↗
10 May 2016
Beaten by sheer pace – Cricket analytics with yorkroriginal ↗
8 May 2016
yorkr is generic!original ↗
2 May 2016
yorkr ranks ODI batsmen and bowlersoriginal ↗
28 Apr 2016
yorkr ranks T20 batsmen and bowlersoriginal ↗
26 Apr 2016
yorkr ranks IPL batsmen and bowlersoriginal ↗
25 Apr 2016
yorkr crashes the IPL party! – Part 4original ↗
22 Apr 2016
yorkr crashes the IPL party! – Part 3!original ↗
21 Apr 2016
yorkr crashes the IPL party! – Part 2original ↗
20 Apr 2016
yorkr crashes the IPL party ! – Part 1original ↗
19 Apr 2016
yorkr pads up for Twenty20s:Part 4- Individual batting and bowling performances!original ↗
17 Apr 2016
yorkr pads up for the Twenty20s:Part 3:Overall team performance against all oppositions!original ↗
17 Apr 2016
Previous