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10 machine learning APIs developers will love

Tap the readymade machine learning models behind these cloud-based APIs to add a stroke of genius to your app

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Machine learning: When to use each method and technique

What exactly can you do with machine learning? We explain the various methods and techniques available to you

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Review: MongoDB takes on the world

MongoDB 4.0 beefs up with global cloud clusters, multi-document ACID transactions, and HIPAA compliance

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15 great alternatives to React, Angular, and Vue

The popular frameworks are popular for good reason, but one of these other options could be a better choice for your app

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Go tutorial: Get started with Google Go

Go is a concise, simple, safe, and fast compiled language that trades features for speed. Isn’t it time you gave it a try?

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Machine learning: How to create a recommendation engine

In this excerpt from the book “Pragmatic AI,” learn how to code recommendation engines based on machine learning in AWS, Azure, and Google Cloud

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Why there are no shortcuts to machine learning

As long as companies understand that good data science takes time in an enterprise, and give these people room to learn and grow, they won’t need shortcuts

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15 APIs every developer should know

From AI and AR to transportation and telephony, these web APIs open up all kinds of intriguing possibilities to developers

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Julia tutorial: Get started with the Julia language

Want the convenience of a dynamic language and the performance of a compiled statically typed language? Try Julia

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When it comes to databases, why ‘I can’t quit you, baby’

Leaving legacy RDMSs is hard, but eventually enterprises will break free of Oracle’s and others’ last grip on their data infrastructure

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Get started with Rust, the language for safer code

Here’s how to get your feet wet with using Rust’s tool chain, creating projects, working with third-party code, and managing libraries

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Guido van Rossum resigns: What’s next for Python

Python’s designer explains why he stepped down as “benevolent dictator for life”—and how he’ll stay involved with the language

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GKE tutorial: Get started with Google Kubernetes Engine

Discover how easy it is to create a Kubernetes cluster, add a service, configure autoscaling, and tap other great features of GKE

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3 big data platforms look beyond Hadoop

Learn how the Cloudera, Hortonworks, and MapR data platforms are evolving to meet the demands for real-time analytics and machine learning

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How to align test automation with agile and devops

Along with CI/CD’s continuous integration and continuous development, you need continuous testing

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GitHub vs. Bitbucket vs. GitLab: An epic battle for developer mindshare

GitHub, Bitbucket, and GitLab pile lots of poshy extras on top of Git. Which should you choose?

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YugaByte review: Planet-scale Cassandra and Redis

YugaByte DB combines distributed ACID transactions, multi-region deployment, and support for Cassandra and Redis APIs, with PostgreSQL on the way

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Database shift: Start with open source but finish with AWS

AWS seems to be building natural bridges between on-premises databases like MySQL and cloud services like Amazon Aurora

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