From Software Telemetry by Jamie Riedesel
This article covers emitting and shipping telemetry to somewhere off the system, such as into a queue.
From Software Telemetry by Jamie Riedesel
From Succeeding with AI by Veljko Krunic
This article discusses how to get practical business results from AI and how this book will help you learn how to do it.
From Succeeding with AI by Veljko Krunic
When running an AI team or project there are important pitfalls to be avoided. This article discusses some of the most common ones.
From Succeeding with AI by Veljko Krunic
Focused human involvement and attention makes or breaks an AI project. This article discusses the first questions you should ask in the context of every AI project, as well as the most important ideas to keep in mind during any AI project.
From Machine Learning for Business by Doug Hudgeon and Richard Nichol
This article covers basic time-series forecasting: what it is and why it’s a tough problem.
From Machine Learning for Business by Doug Hudgeon and Richard Nichol
In this article, you’ll see how SageMaker and the Random Cut Forest algorithm can be used to create a model that will highlight the invoice lines that Brett should query with the law firm. The result will be a repeatable process that Brett can apply to every invoice that will keep the lawyers working for his bank on their toes and will save the bank hundreds of thousands of dollars per year. Off we go!
From Modern Fortran by Milan Curcic
In this part, we’ll conclude the article by using built-in functions and whole-array arithmetic to identify risky stocks, and find good times to buy and sell.
From Modern Fortran by Milan Curcic
Stock price analysis and prediction has been an increasingly popular topic since the early days of high-level programming, and Fortran has been used in the bowels of many financial trading and banking systems, mainly thanks to its robustness, reliability, and efficiency. In this article, we’ll work with a dataset that is freely available, small enough to be easily downloaded, and yet large enough to demonstrate the power of Fortran arrays.
From Machine Learning for Business by Doug Hudgeon, and Richard Nichol