"What you do today can improve all your tomorrows." The new omnichannel world has not only affected how retailers engage with their customers, but also how retailers plan their inventory. For many retailers, inventory has become quite undisciplined, coming and going from new and different channels at all hours. And that creates a lot of challenges, because if you remember from our previous articles, retailers generally measure omnichannel demand two ways. Either they count everything as retail demand for whatever location fulfills an order or sells directly to a customer, or they look at in-store sales as one demand stream and e-commerce as another.

Walkthrough of the dummyVars function from the {caret} package: Machine Learning with R MORE: Signup for my newsletter and more: http://www.viralml.com My books on Amazon: The Little Book of Fundamental Indicators: Hands-On Market Analysis with Python: Find Your Market Bearings with Python, Jupyter Notebooks, and Freely Available Data: https://amzn.to/2DERG3d Create Income Streams with Online Classes: Design Classes That Generate Long-Term Revenue: https://amzn.to/2VToEHK

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This article is part of #25DaysOfServerless. New challenges will be published every day from Microsoft Cloud Advocates throughout the month of December. Find out more about how Microsoft Azure enables your Serverless functions. Have an idea or a solution? It's freezing cold up here on the North Pole, which normally makes it the ideal place to host a server farm.

Artificial Intelligence (AI) is by far one of the most praised trends in Silicon Valley. Yet, in the "real world", opinions tend to be split into two camps: those who desire AI-driven personal assistants on the one hand, and those who fear that such AI solutions will steal their jobs in the future, on the other. Nevermind that Hollywood-like scenario though – the truth is that AI is already here, reading our emails, listening to our conversations, recognizing our faces, and even smelling our breath! AI is not a shiny addition. It is a must-have for any business innovations, and e-commerce seems to be in the avant-garde.

A mere four years ago AI was not even able to pass a Grade eight science test. Seven hundred computer scientists competed in a contest with a significant amount of money as prize. They had to build artificial intelligence that could pass a Grade eight science test. The computer scientists did their best, but not even the most advanced AI system could score better than 60percent in the test. It seems that the AI was just not advanced enough to fully reach the language and logic skills expected of students in the eighth grade.

Traditionally MATLAB has been the most popular matrix manipulation tool. NumPy gives python users the same super power and with that it makes it easy for them to perform neural network calculations and numerous other AI tasks. Machine learning is built on top of mathematics. The most commonly used data structure in machine learning is a matrix. Go here if you want a quick introduction to matrices.

Today concludes Amazon's re:Invent 2019 conference in Las Vegas, where the Seattle company's Amazon Web Services (AWS) division unveiled enhancements heading down its public cloud pipeline. Just Tuesday, Amazon announced the general availability of AWS Outposts, a fully managed service that extends AWS' infrastructure and services to customer datacenters, co-location spaces, and on-premises facilities. And it debuted in preview Amazon Detective, which helps to analyze, investigate, and identify the root cause of potential security issues and suspicious activities. That's not to mention AI-powered fraud detection and code review products and an expanded machine learning experimentation and development studio, as well as a dedicated instance for AI inferencing workloads. But perhaps the most intriguing launch this week was that of Amazon Transcribe Medical, a service that's designed to transcribe medical speech for clinical staff in primary care settings.