26 Statistical Concepts Explained in Simple English – Part 6
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlati...
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How to Detect Objects with Deep Learning on Raspberry Pi
This article was written by Sarthak Jain. The real world poses challenges like having limited data and having tiny hardware like Mobile Phones and Raspberry Pis which c...
Unsupervised Learning Algorithms in One Picture
Unsupervised learning algorithms are “unsupervised” because you let them run without direct supervision. You feed the data into the algorithm, and the algorit...
Bridging the Digital Divide
Why is data so important? Despite being about as prevalent as electricity, it can be difficult to adequately explain how critical data is to the modern world. From busine...
The Many Ways in Which SharePoint Helps Automate Business Processes
Running a business is no easy task, for there are far too many that need to be done and managed every single day. And the thing is that a significant chunk of these daily...
Understanding the applications of Probability in Machine Learning
This post is part of my forthcoming book The Mathematical Foundations of Data Science. Probability is one of the foundations of machine learning (along with linear algebr...
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...