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...
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...
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...
In a modern world of advanced technologies, our life is literally impossible without cellular telecommunications. Today, smartphones and wireless broadband Internet are c...
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�...
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...
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-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, ...
Here is a piece of content on Xpaths which is the follow up of How Xpath Plays Vital Role In Web Scraping Let’s dive into a real-world example of scraping amazon web...
I wrote earlier in 2019 an article entitled New Stock Trading and Lottery Game Rooted in Deep Math, see here. It features a number guessing game that — depending on...