2019

08-06 Sequence to Sequence Models
08-02 Human vs Machine Transcription
07-31 Data Skeptic - Word Embeddings Lower Bound

2018

07-01 Index Funds and ETFs
06-28 Machine Learning With Boosting - Summary
06-21 Make Your Own Neural Network
06-21 A Brief Introduction to Cloud Computing
06-19 Neural Networks - A Visual Introduction For Beginners
06-18 Machine Learning with Random Forests and Decision Trees
06-17 Decision Trees and Random Forests : A Visual Introduction For Beginners

2017

12-30 The Power of Habit : Summary
12-30 The Idiot Brain: Summary
09-11 Incorporating Implied volatility in Portfolio Risk Estimation
09-07 Graph Databases : Book Summary
08-10 Learning Cypher : Summary

2016

05-02 Learn Git in a Month of Lunches : Review
05-01 The Cartoon Guide to Genetics : Book Review
05-01 Machine Learning for cracking DNA
04-26 Becoming Silent
02-01 Quote for the day
01-13 The Master Algorithm : Book Summary
01-13 Fail, Fail Again, Fail Better
01-06 Why Information Grows : Book Review
01-05 Silence : Book Review
01-05 Quote for the day
01-04 The Golden Ticket : Book Review

2015

12-24 What happens when a $1B valued start-up goes south
12-24 Pure vs. Applied Mathematician
12-24 Has the Chicago Professor cracked P=NP
12-21 Quote for the day
12-02 Quote for the day
10-11 Common sense approach to business
10-10 Statistical Modeling–The two cultures
10-04 The Pattern on the Stone : Book Review
10-03 Superforecasting: Book Review
10-03 How to Find Fulfilling Work
09-19 Quote for the day
09-17 Reproducible Research with R and RStudio : Summary
09-13 Dearth of literature
09-13 Compiling RR book
09-12 Minimum Resting Time – A terrible idea
09-11 Event History Analysis With R
09-10 Mindless Statistics
09-10 How Students Learn Statistics
09-09 Should vs. Must
09-09 Active Documents with Org-mode
09-09 A Multi-Language Computing Environment for Literate programming and Reproducible research
09-08 Martingales in Survival Analysis
09-06 Survival Analysis – A Self-Learning Text
08-11 No Shortcuts to Causality