Automatic Adjoint Differentiation (AAD) and back-propagation are key technologies in modern machine learning and finance. It is back-prop that enables deep neural networks to learn… Read More »Recorded workshop from Kings College London: AAD, Backpropagation and Machine Learning in Finance
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… Read More »The Many Ways in Which SharePoint Helps Automate Business Processes
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… Read More »Four AI Ethics Issues To Confront Right Now
Businesses generate data from different sources such as text files, multimedia forms, Internet of Things (IoT) devices, social media, and, mobile. Data is being used… Read More »Top Three Online Data Science Courses for 2020
by Hudson Hollister Detecting which of the federal government’s millions of contracts most likely involve fraud used to require insider access to agencies’ IT systems. Data… Read More »Detecting Hidden Fraud Risk from Public Data
Summary: Contextually intelligent, NLP-based interactive assistants are one of the next big things for AI/ML. The tech is already here from recommendation engines. The need… Read More »Contextually Intelligent NLP Assistants – AI’s Next Big Technical Challenge
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… Read More »Understanding the applications of Probability in Machine Learning
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… Read More »Machine Learning and Deep Learning Textbook – Cornell University
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… Read More »Jupyter Notebooks: Fundamentals of Machine Learning and Deep Learning
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:… Read More »Fun Math: Infinite Nested Radicals of Random Variables – Connection with Fractals and Brownian Motions
