The gradient descent algorithm is one of the most popular optimization techniques in machine learning. It comes in three flavors: batch or “vanilla” gradient descent (GD), stochastic gradient… Read More »Machine Learning and Particle Motion in Liquids: An Elegant Link
Introduction It is a well-known fact that neural networks can approximate the output of any continuous mathematical function, no matter how complicated it might be. Take… Read More »The Approximation Power of Neural Networks (with Python codes)
Amazon continues to be one of the most popular marketplaces in the US as well as the world due, at least in part, to its… Read More »Exposing Potential Fraud in Amazon Reviews
Business markets and competition are moving much more quickly these days and predicting, planning and forecasting is more important than ever. It is also important… Read More »What Are the Necessary Components of an Advanced Analytics Solution?
“It’s much easier to double your business by doubling your conversion rate than by doubling your traffic.” —Jeff Eisenberg, CEO of BuyerLegends.com It is but… Read More »Retailers: Better Market Basket Analysis Will Keep You Ahead Of Competition
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python,… Read More »32 Statistical Concepts Explained in Simple English – Part 11
Summary: A new business model strategy based around intermediary platforms powered by AI/ML is promising the most direct path to fastest growth, profitability, and competitive… Read More »A Radical AI Strategy – Platformication
We investigate a large class of auto-correlated, stationary time series, proposing a new statistical test to measure departure from the base model, known as Brownian… Read More »Long-range Correlations in Time Series: Modeling, Testing, Case Study
This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary object recognition, driverless cars, semantic image segmentation,… Read More »[New] Handbook of Deep Learning Applications (Springer)
This blog will cover the following “Future of Smart” initiative topics: Create a common definition or description of what it means to become “smart” and… Read More »A Simple Approach for Pursuing the “Future of Smart” Vision
