The future of the automotive industry will be digital. In order to support new devices and other innovative products on vehicles, various...

Executives today find themselves facing new data challenges where complex forecasts and machine learning are no longer considered luxury...

I’d like to take a moment of your time and tell you my life journey, and some of the crossroads in my life which shaped who I am today....

The dawn of machine learning is upon us and we already find ourselves walking among humanoid robots. The exponential advancement in...

Candlestick charts pack data into time increments called bars to view what the trends were over that time frame. The candlestick itself...

MLOPs: Architecting Machine Learning Systems to Detect Model Degradation Big Data processes and models often experience issues such as...

As cryptocurrency is reaching more adoption and utilization as a method of payment, some people are left wondering how to invest or...

In the world of finance, there are different types of investment vehicles including equities, futures, options, forwards and others. Most...

I. FOUNDATIONS The ideas for what would become Muxing Trading started bubbling in our minds around 2012. Having worked in Finance and...

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The trading execution is based on portfolio risk minimization using principal components analysis on the existing asset classes in the...

Historically, retirement planning is rooted in rational expectations theory.  Assuming complete economic rationality, planners typically...

An outline on how you can build a relevance model to target records of interest for NLP classification. I will describe some relevance...

A short description on various different outlier detection methods for times-series data and their implementations. Z-Score Outlier...

Introduction We examine the techniques used for LSTM, i.e., long short term memory neural net models, and their applications to spread...

Thanks for joining me! Good company in a journey makes the way seem shorter. — Izaak Walton