Job Skills & Automation: Partnerships & Policy Efforts
A review of government and public efforts to close the 'skills gap.'
A review of government and public efforts to close the 'skills gap.'
Steps towards productive lifelong learning.
Quick notes for easy setup if you have Windows 10.
Folks will need new skills more than they'll need new jobs.
A potential impact of unequal adoption of ICT.
Exploring the last several years of research on productivity.
Never say you're 'done'!
Or, 'how to manage expectations under uncertainty.'
Topics: data engineering, role definition, project management, experimentation, et al.
Practical recommendations for any level of sophistication.
Case studies from high performing transformations.
Knowing what to do with it is what matters most.
First steps in a data strategy.
What's changed in our personal lives also needs to change in our 9-5s.
Demographic and structural barriers to progress exist.
In aggregate, things aren't changing as much as times past.
Creating a general framework for current opportunities and challenges.
Figuring out what is different about Jeff Skilling.
Taming the Whale.
Figuring out what Redis is all about.
Gaining intuition with theory and Java.
Figuring out what HBase is all about.
Figuring out what MongoDB's all about.
A challenging crash course in actionable DS concepts.
Identifying underlying trends in blight conditions.
Getting very good at R, in 3-4 week increments.
..model. (Get it?).
Talking babies and technology.
Seeing what things were like when I was teaching.
Calculating histograms of the Semantic Web.
Figuring out where not to go, and when.
A few high-level considerations when updating an architecture.
A few book recommendations for understanding new developments in software.
Alternate title: 16 hours of Francesco.
TL;DR: How to spend more time than is necessary on plumbing.
A brief explanation of what I'm trying to do.
With so many things tying data science together... where to start?
The CEO of Databricks discusses evolutions in distributed computing.
Its aim was sturdy and true, 8 out of 15 times.
The Chief Data Scientist of Infosys discusses the importance of learning and listening.
Hortonworks' Chief Architect and Head of PM share their philosophy on open source and changing paradigms around data.
The Foundation: Getting started on the right foot.
Google's Chief Economist talks about how data has shaped his life.
Google's Head of Structured Data on visualization and making information accessible.
Company fit precedes product-market fit.
The cofounder of Skybox on the difference between a 'space' business and a 'data' business.
Not all PM roles (and not all PMs) are created equal.
Yet another way Andrea's eating habits drive my life.