Four AI Ethics Issues To Confront Right Now
Machine learning is not a new tech development, but the ethical issues artificial intelligence presents are at their most historically pressing moment. There are multiple...
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Machine Learning and Deep Learning Textbook – Cornell University
Another free book to learn Machine Learning. It also comes with a Youtube video series available here. Content Machine Learning Setup k-Nearest Neighbors / Curse of Dim...
Jupyter Notebooks: Fundamentals of Machine Learning and Deep Learning
Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2. Source: from the Su...
Fun Math: Infinite Nested Radicals of Random Variables – Connection with Fractals and Brownian Motions
Some original and very interesting material is presented here, with possible applications in Fintech. No need for a PhD in math to understand this article: I tried to mak...
Digital Transformation Horizon 1 to Horizon 3: When Is Innovation Really Innovation?
In the early 2000’s, IBM Deep Blue was on the lookout for its next Grand Challenge. It had achieved an exhilarating win over chess grand master Garry Kasparov in 1997...
5G Networks Security Risks
In a modern world of advanced technologies, our life is literally impossible without cellular telecommunications. Today, smartphones and wireless broadband Internet are c...
Semantic Image Segmentation with DeepLab in TensorFlow
This article was written by Liang-Chieh Chen and Yukun Zhu. Semantic image segmentation, the task of assigning a semantic label, such as “road”, “sky”, “person�...
Complete Hands-Off Automated Machine Learning
By Bill Vorhies. Summary: Here’ a proposal for real ‘zero touch’, ‘set-em-and-forget-em’ machine learning from the researchers at Amazon. If you have an e...
5 Algorithms to Train a Neural Network
This article was written by Alberto Quesada. The procedure used to carry out the learning process in a neural network is called the optimization algorithm (or optimize...
P-Value Explained in One Picture
P-values (“Probability values”) are one way to test if the result from an experiment is statistically significant. This picture is a visual aid to p-values, ...