When Should a Machine Learning Model Be Retrained?
A few years ago, it was extremely uncommon to retrain a machine learning model with new observations systematically. This was mostly because the model retraining tasks we...
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If Data Scientist is the Modern-Day Alchemist, Then Why are We Using Leeches to Monetize Data?
Okay, I’m as mad as hell, and I’m not going to take this anymore! If data scientists are the modern-day alchemist who turn data into gold, then why are so ma...
The Future of Work and Professions: CIO to COO to CEO
A recent Wall Street Journal article, entitled Coronavirus Pandemic Helps Speed More CIOs Toward Business Operations Accountability, observed: “Large businesses are sta...
RPG Playing Cards Come To Life In Augmented Reality
Augmented Reality is beginning to push the paradigms of previous expectations as the ability to recognize cards by appearance and orientation opens up the possibility of ...
Universities finally realize that Java is a bad introductory programming language
This article was written by Matthew Hughes. CS 106A is Stanford University’s introductory programming course. The module – which is also available to view on YouTub...
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 challenge...
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...
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 data privacy landscape, Privacy E...
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 to answer the question of whe...
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 recomm...