- How to be a 10x data scientist - Oct 12, 2020.
If you are a Data Scientist looking to make it to the next level, then there are many opportunities to up your game and your efficiency to stand out from the others. Some of these recommendations that you can follow are straightforward, and others are rarely followed, but they will all pay back in dividends of time and effectiveness for your career.
Advice, Data Scientist, IDE, Jupyter, Uncertainty, Workflow
- Using Uncertainty to Interpret your Model - Nov 16, 2018.
We outline why you should care about uncertainty and discuss the different types, including model, data and measurement uncertainty and what different purposes these all serve.
Explainable AI, Interpretability, Taboola, Uncertainty
- How I Learned to Stop Worrying and Love Uncertainty - Oct 24, 2018.
This is a written version of Data Scientist Adolfo MartÃnez’s talk at Software Guru’s DataDay 2017. There is a link to the original slides (in Spanish) at the top of this post.
Pages: 1 2
Bayesian, Statistics, Uncertainty
- Deep Learning, Pachinko, and James Watt: Efficiency is the Driver of Uncertainty - Jun 8, 2016.
A reasoned discussion of why the next generation of data efficient learning approaches rely on us developing new algorithms that can propagate stochasticity or uncertainty right through the model, and which are mathematically more involved than the standard approaches.
Pages: 1 2
AI, Algorithms, Deep Learning, Probability, Uncertainty
