Misuses of Statistics: Examples and Solutions
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, c...
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Open-source Logistic Regression FPGA core for accelerated Machine Learning
Machine learning algorithms are extremely computationally intensive and time consuming when they must be trained on large amounts of data. Typical processors are not opti...
Workload Optimized Compute Servers Are Creating the Need for Converged Clusters
Pooled, also referred to as “converged”, clusters in a unified data environment support disparate workload better than separate, siloed clusters. Vendors now provide ...
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...
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...
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...
31 Statistical Concepts Explained in Simple English – Part 8
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlati...