2020

07-02 BERT Mountain
06-19 Sequence to Sequence Learning with Neural Networks
06-11 BERT - Engineers SG presentation
01-04 My Learnings - Kafka as a Platform
01-02 Apache Beam - Learnings - APAC PyCon
01-01 Linux Command Line Deliberate practice
01-01 Apache Beam - Immersion
01-01 Apache Beam - Data Flow

2019

12-31 Apache Beam - Google Pub Sub Interaction
12-30 Apache Beam - Active Retrieval
12-29 From 0 to 1 Spark for Data Science with Python
12-27 Networking for Developers - Udacity Course
12-26 Networking for Developers
11-26 O’Reilly Datashow: Datalake and connecting dots

2016

05-01 Learning git in a month of lunches
05-01 Cartoon Guide to Genetics
01-28 Importance of counting in Vilambit Taans
01-25 Vilambit - Maseetkhani gat
01-12 Fail, Fail Again, Fail Better
01-06 Why Information Grows - Book Summary
01-05 Silence : Book Review
01-04 The Golden Ticket

2015

12-31 Books read in 2015
12-24 Raag Yaman Practice
10-10 Statistical Modeling - A Tale of two cultures
10-03 Superforecasting - Book Review
10-03 How to find fulfilling work
09-13 Reproducible Research with R and RStudio
09-12 Compiling a book
09-11 Minimum Resting Time
09-11 Event History Analysis With R
09-10 How Students Learn Statistics
09-09 A Multi-Language Computing Environment for Literate programming and Reproducible research
09-08 Mindless Statistics
09-08 Frustrating experience with Vilambit
09-08 Blogging from org mode
08-16 Malkauns–Vilambit
08-09 Guru Purnima
07-26 What did I learn today
07-25 Learning's : June-July 2015
06-07 Malkauns–Big Taan
05-27 Shiny–Part 2
05-24 Malkauns Taan
05-20 Learning Shiny Apps–Part I
05-17 Additional Taans
05-10 Taans
05-03 Malkauns Taan variants
04-25 New composition–Malkauns
04-21 Joint Practice Session
04-20 Malkauns