Contents tagged with artificial intelligence
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Evolution of Machine Learning, from Server to the Edge App Development
Traditionally, Machine Learning (ML) and Deep Learning (DL) models were implemented within an application in a server-client fashion way. The server provided training and inference capabilities by exposing web APIs of any sort (REST, web-socket, PUB/SUB, etc…) while the client was used mainly to exchange data with the server and present the inference result to the user. Whilst this approach has been proven to work well in many cases, it involves a lot of Input/Output (I/O) and a subsequent slowdown of the application.
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10 Platforms for Getting Started with Machine Learning
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Tester Spotlight: AI’s Future, Automation, Testing Virtual Reality Apps and More – Francisco Castillo
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Ever Smarter Software: The Ultimate Introduction to Machine Learning
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Discover how to use machine learning for software estimation
In this work, we will present some ideas on how to build a smart component that is able to predict the complexity of a software development task. In particular, we will try to automate the process of sizing a task based on the information that is provided as part of its title and description and also leveraging the historical data of previous estimations.
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Soccer and Machine Learning: 2 hot topics for 2018
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The next generation in software development: Introduction to Machine Learning
