Summary: This may be the golden age of deep learning but a lot can be learned by looking at where deep neural nets aren’t working yet. This can be a guide to calmi...
Steve has 40 years experience in consulting services surrounding BI, statistics, analytics, and data science. His most recent position was President of Inquidia Consulti...
I started a series on causal inference for data science a few weeks back. I think CI methodologies offer great potential for the DS discipline, given that much of our d...
Two former CAOs Make a Compelling Case for the CAO to Report to the CEO to build out an AI and Data Science Accountability COE. Anthony Branda, MBA, Ph.D., Kevin Kramer...
Summary: This may be the golden age of deep learning but a lot can be learned by looking at where deep neural nets aren’t working yet. This can be a guide to calmin...
We are in the process of writing and adding new material (compact eBooks) exclusively available to our members, and written in simple English, by world leading experts in...
Deep Learning has shown tremendous success, but what makes it so special? What are neural networks, and how do they work? What are the differences between popular Deep Le...
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlati...
This was posted as a question on StackExchange. The state of the art of non-linearity is to use rectified linear units (ReLU) instead of sigmoid function in deep neural n...
Will I ever get this digital transformation thing right? The more work I do with clients on their digital transformation initiatives, the more I realize how much I don’...