Robust Adversarial Inputs
This article was written on OpenAI. We’ve created images that reliably fool neural network classifiers when viewed from varied scales and perspectives. This challenges a… Read More »Robust Adversarial Inputs
Home
Articles
Where synthetic data brings value
If you team is evaluating privacy-preserving synthetic data, three factors will usually come into consideration: Does synthetic data solve my problem? Does the technology fit… Read More »Where synthetic data brings value
PETs: the technologies organization should consider adopting
As I learn about data privacy, I’m starting to realize how large the ecosystem is. I focused here on a category that spans across the… Read More »PETs: the technologies organization should consider adopting
Will DNNs Ever Really be Explainable?
Summary: As we have become ever more enamored with DNNs, and their accuracy and utility has been paced only by their complexity we will need… Read More »Will DNNs Ever Really be Explainable?
Statistical Machine Learning in Python
A summary of the book “Introduction to Statistical Learning” in jupyter notebooks Whenever someone asks me “How to get started in data science?”, I usually… Read More »Statistical Machine Learning in Python
Approaches to Time Series Data with Weak Seasonality
In the previous article, we have tried to model the gold price in Turkey per gram. We will continue to do that to find the… Read More »Approaches to Time Series Data with Weak Seasonality
So You Want to Write for Data Science Central
You’re a writer on AI, ML, or various and sundry other data-oriented TLAs, and you’d like to write an article for Data Science Central. Great!… Read More »So You Want to Write for Data Science Central
The implications of Huang’s law for the Artificial Intelligence stack
Nvidia CEO Jensen Huang proposed an idea which the media has labelled ‘Huang’s law’ along the lines of Moore’s law. Moore’s predicts that the number… Read More »The implications of Huang’s law for the Artificial Intelligence stack
Digital Dreams – Analog Processes
Your in-house data science team is not the exclusive source of AI/ML based improvements. Process Re-engineering is gaining new life as a way to optimize… Read More »Digital Dreams – Analog Processes
Odds vs Probability vs Chance
Data Points There are a number of different terms used for probability in statistics. Each has a distinct (and usually precise) meaning. This article examines… Read More »Odds vs Probability vs Chance