The moral side of cloud-based data science

Applying devops in data science and machine learning

InfoWorld Daily July 19, 2019

The moral side of cloud-based data science Armed with big data, machine learning, predictive analytics, and unlimited data access, how do we limit the potential for harm? Read more ▶

Your Must-Read Stories • Applying devops in data science and machine learning • NativeScript 6.0 speeds up builds, app updates • 3 cost-cutting tips for Amazon DynamoDB • How to use .SD in the R data.table package • Kubernetes on AWS, Azure, and Google Cloud • How to deal with cloud complexity • The best machine learning and deep learning libraries

Miscellaneous: Cradlepoint Technology 2019 State of the WAN Report Based on a widespread industry survey, this IDG and Cradlepoint report reflects and explores the changing role of LTE in the enterprise. Read more ▶

Applying devops in data science and machine learning Having data scientists collaborate with devops and engineers leads to better business outcomes, but understanding their different requirements is key Read more ▶

DEALPOST Productivity Hack: Why You Should Ditch Your Stock PDF Reader for PDFpenPro Fill out forms, add signatures, and more with this innovative tool. Primary Site: Infoworld Read more ▶

NativeScript 6.0 speeds up builds, app updates Update to the JavaScript framework for building native iOS and Android apps also boasts smaller app binaries Read more ▶

3 cost-cutting tips for Amazon DynamoDB How to avoid costly mistakes with DynamoDB partition keys, read/write capacity modes, and global secondary indexes Read more ▶

How to use .SD in the R data.table package See how to use data.table's special .SD symbol to perform calculations and other tasks by group Read more ▶

Kubernetes on AWS, Azure, and Google Cloud How the managed Kubernetes services on the major clouds stack up—and how well they integrate with the clouds that host them Read more ▶

How to deal with cloud complexity Cloud complexity may be inevitable, but a few strategies can help keep the chaos contained Read more ▶

The best machine learning and deep learning libraries TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models Read more ▶

Miscellaneous: Cradlepoint Technology The Pathway to 5G This report investigates where 5G is today, the significant and revolutionizing components of 5G, and how it will shape the future of networking. Read more ▶

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