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This book excerpt from “R for Everyone” details the methods in the R programming language to prepare your data for analysis
Public clouds are the future of enterprise big data analytics, and their use is creating the unified platform needed to fully gain its value
Powering data-intensive and time-sensitive applications with in-memory data grids (IMDGs)
There is more to a successful application of machine learning than data science
Determine if your organization is combining the three principles of translytics to overcome the speed and scale challenges of today’s data-driven enterprise
The US could have as many as 250,000 open data science jobs by 2024, and the data science skills gap will find companies scrambling to train or hire talent in the coming years
Learn how to create a simple neural network, and a more accurate convolutional neural network, with the PyTorch deep learning library
The LTR technique can fix search results based on user preferences or implicit behavior
Putting data in the hands of a few experts is a powerful thing, but making it available throughout an organization can be a game-changer
If today data is king, then IaaS is fast emerging as the contractual chief adviser, helping to inform business decisions based on data-driven points of knowledge, predictions analytics, and insights