Can Artificial Intelligence Really be “Explainable”?
I myself do epidemiologic research, which rarely calls for developing machine learning models. Instead, I spend my time developing logistic regression models that I have ...
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The Different Ways in Which Machine Learning Makes Healthcare Better
The continued evolution of technology has empowered humanity quite unlike anything else, offering tools and technologies to assist us in our daily endeavors. Take machine...
Common Statistical Errors
Data analysis is fraught with pitfalls, including too-small sample sizes. Bias can creep into the most well-intentioned of studies, Tips to avoid bias and choose the best...
Are Food Distributors Missing Out on the Advantages of AI? Part 2
Blog Series on Foodservice Distribution Part 2: Transform Your Order Takers into Sales Consultants Part 1 of this series presented our view on what foodservice distributo...
Cybersecurity and Remote Work
Some years ago, freelancers comprised a separate category of workers. Nowadays, the situation has changed, and remote employees have grown in number considerably. The ...
Machine Learning: How it is Transforming the Education Sector
The continued evolution of technology has changed our lives in more profound ways than we’d ever been able to imagine. Think about it — we no longer have to wait in q...
GPT-3: The Next Revolution in Artificial Intelligence (AI)
Generative Pre-trained Transformer 3 also referred to as GPT-3 is the next big revolution in artificial intelligence (AI). In 2018, a startup, OpenAI was the first to cre...
3 Tips For Applying Machine Learning to Business Problems
In recent years, we have seen the Artificial Intelligence field of study appear on several news programs on TV, Radio and Internet. Words like Big Data, Data Science, Mac...
Bootstrapping Time Series for Gold Rush
Bootstrap aggregating (bagging), is a very useful averaging method to improve accuracy and avoids overfitting, in modeling the time series. It also helps stability so tha...
Horowitz Index Day-Ahead Change Prediction in Real Time
Rationalizing the effort of our intensive care staff by predicting patient condition indicators in real time is a challenge because of an impressive number of externally ...