Machine Learning Times
Machine Learning Times
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The Rise Of Large Database Models
 Originally published in Forbes Even as large language models have...
3 Predictions For Predictive AI In 2025
 Originally published in Forbes GenAI’s complementary sibling, predictive AI, makes...
The Quant’s Dilemma: Subjectivity In Predictive AI’s Value
 Originally published in Forbes This is the third of a...
To Deploy Predictive AI, You Must Navigate These Tradeoffs
 Originally published in Forbes This is the second of a...
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7 years ago
Explaining Deep Learning by Making AI Transparent

 For today’s leading deep learning methods and technology, attend the conference and training workshops at Deep Learning World Las Vegas, June 3-7, 2018.   Before discussing this above topic, it is important to describe my definition of AI within the context of this article. AI is the use of neural net technology with its more recent developments occurring in the area of deep learning. Now let’s begin the discussion. Experienced data scientists with many years of applying various solutions for specific business problems do not merely rely   on the “performance” of the solution itself as the final deliverable. An equal

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