when your laptop doesnt cut it... provision a g3s.xlarge for its NVIDIA Telsa M60 of course

why philosophy needs a new purpose (and an oversimplification of the great philosopher's teachings

for when you want simple *and* elegant

configuring a python environment on ec2 with a windows machine

alternate sclablable application architectures with automated deployment workflows, model lineage and versioning; my preferred stack

sclablable application architectures with automated deployment workflows, model lineage and version control

sclable application architectures for building, deploying and maintaining ml models

a quick & easy application architectures for building, deploying and maintaining ml models

collection of items to review when assessing data quality of a RDBMS

books i have read, am reading and will read

setting up a [mostly] persistent cost effective and scalable storage option

ds & ml guides, best-practices, statistics fundamentals, ensemble bible and other useful study tools to maximize your value when delivering data science applications

resources I use frequently, shout out to instrumental developers in the community and projects I am currently interested in.

analysis of mood and associated factors

meta analysis on economic viability of commercial aquaponic, aeroponic and hydroponic farming methods

suggested improvements on the current player projected point scoring mechanism.

my [brief] journey though finance.

how i distill and manage tasks, requests and projects requirements from multiple sources / inputs.

framework for building an innovation lab and measuring relative value of skills

Frameworks for defining intelligence and randomness

sample of how to pull data, categorize and score customers based on their purchasing behavior.