When you were a child, how many times did you use the argument with your parents “but everyone else is doing it” to rip holes in the knees of your jeans or dye your hair blonde or steal beer out of the…
New ethical and moral questions continue to emerge as we expand how we use artificial intelligence in business and government. This is undoubtedly a good thing. Developing new technologies without incorporating ethics, morals or values would be careless at best, catastrophic at…
For my readers’ convenience, I have segregated the best cheat sheets (comprehensive yet concise) separately for each of the below topics. . . Python (Basic python as well as ML libraries : Numpy /Pandas/Matplotlib/Seaborn) R SQL Data Visualization Tools ( Tableau, Power BI) Maths and…
A research collaboration between UC San Diego and Adobe Research has proposed an innovative and proactive solution to the lack of racial and gender diversity in image search results for traditionally WASP-dominated occupations: the use of Generative Adversarial Networks (GANs) to create…
Aberrations in machine vision can affect the quality of input data. It can also derail the AI-based operations of businesses. Identifying an aberration and preventing it—or correcting it—are needed to avoid major operational problems related to machine vision optics. Machine vision uses…
Creating a Machine Learning model is a difficult task because we need to write a lot of code to try different models and find out the performing model for that particular problem. There are different libraries that can automate this process to…
Book Description ‘The advent of machine learning-based AI systems demands that our industry does not just share toys, but builds a new sandbox in which to play with them.’ – Phil Bernstein The profession is changing. A new era is rapidly approaching…
What Are the Best Processors for Machine Learning? Choosing one out of the many options of processors for machine learning can be tricky. Not because of the crazy amount of options available, but because there is always the debate between whether or…
The Covid-19 crisis has placed the spotlight on the healthcare systems around the world. It placed an additional strain on systems that in many cases were already under stress to meet demand and led to a growth in digital medicine. A video from…
Clinical and operational machine learning models are gaining ground at hospitals and health systems throughout the country, and new ones are evolving rapidly. But at this point, the challenge is not so much development of new models, as effectively evaluating their use,…
