How DevOps Drives Analytics Operationalization and Monetization
I recently wrote a blog “Interweaving Design Thinking and Data Science to Unleash Economic V…” that discussed the power of interweaving Design Thinkin...
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Machine Learning and Particle Motion in Liquids: An Elegant Link
The gradient descent algorithm is one of the most popular optimization techniques in machine learning. It comes in three flavors: batch or “vanilla” gradient desce...
The Approximation Power of Neural Networks (with Python codes)
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...
Exposing Potential Fraud in Amazon Reviews
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 variety of product categories and product reviews...
What Are the Necessary Components of an Advanced Analytics Solution?
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 to ens...
Retailers: Better Market Basket Analysis Will Keep You Ahead Of Competition
“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 only...
32 Statistical Concepts Explained in Simple English – Part 11
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlati...
A Radical AI Strategy – Platformication
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 comp...
Long-range Correlations in Time Series: Modeling, Testing, Case Study
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 moti...
[New] Handbook of Deep Learning Applications (Springer)
This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary object recognition, driverless c...