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Cloud IDE review: AWS Cloud9 vs. Eclipse Che vs. Eclipse Theia

You don’t have to develop locally to get full IDE support. We compare three great tools that let you edit and debug code from a browser

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What is Deno? A ‘better’ Node.js

From the creator of Node.js, Deno is a secure runtime for JavaScript and TypeScript that addresses Node’s shortcomings.

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How to choose a cloud IoT platform

IoT is currently one of the most hyped concepts in the computing world. Cloud IoT platforms may even exceed IoT on the hype scale.

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Kaggle: Where data scientists learn and compete

By hosting datasets, notebooks, and competitions, Kaggle helps data scientists discover how to build better machine learning models.

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How to choose a cloud machine learning platform

12 capabilities every cloud machine learning platform should provide to support the complete machine learning lifecycle.

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What is face recognition? AI for Big Brother

Facial recognition is becoming more accurate, but some systems exhibit racial bias and some uses of the technology are controversial.

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Amazon Braket: Get started with quantum computing

Amazon’s quantum computing service is currently good for learning about quantum computing and developing NISQ-regime quantum algorithms.

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The question of quantum computing, solutions to impossible problems

Quantum computing has great promise to solve problems that are too hard for classical computers to solve but they are not yet practical.

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10 MLops platforms to manage the machine learning lifecycle

Machine learning lifecycle management systems rank and track your experiments over time, and sometimes integrate with deployment and monitoring

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What are deepfakes? AI that deceives

Deepfakes extend the idea of video compositing with deep learning to make someone appear to say or do something they didn’t really say or do.

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Review: Google Cloud AI lights up machine learning

Google Cloud AI and Machine Learning Platform is missing some pieces, and much is still in beta, but its scope and quality are second to none.

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Review: Microsoft Azure AI and Machine Learning aims for the enterprise

Microsoft Azure combines a wide range of cognitive services and a solid platform for machine learning that supports automated ML, no-code/low-code ML, and Python-based notebooks.

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8 databases supporting in-database machine learning

While approaches and capabilities differ, all of these databases allow users to build machine learning models right where data resides.

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8 ways to jump-start machine learning projects

From exploratory data analysis to automated machine learning, look to these techniques to get data science projects moving and to build better models.

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Review: AWS AI and Machine Learning stacks up

Amazon Web Services provides an impressively broad and deep set of machine learning and AI services, rivalling Google Cloud and Microsoft Azure.

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How to choose a cloud serverless platform

From AWS Lambda and Azure Functions to Knative and OpenFaaS, we have at least a dozen functions-as-a-service platforms to choose from. Here’s how to navigate the options.

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Interpreting data wrangling and exploratory data

Data wrangling and exploratory data analysis are the difference between a good data science model and garbage in, garbage out.

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Oracle Database 21c review: The old RDBMS is new again

Major upgrade to the ever-evolving Oracle Database brings JavaScript support, graph optimisations, in-memory enhancements, and dramatic improvements to JSON operations and in-database machine learning.

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How customers choose a cloud-based CI/CD platform

Hosting CI/CD in the cloud can both speed up interactions between development pipelines and source code repositories and make life easier for developers.

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How customers select RPA software, and the vendors leading the market

Menial tasks rob workers of time they could spend on more productive activities. Done right, RPA can banish bucketfuls of mindless chores.

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