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The Internet of Things in 2020: More vital than ever

Just when we needed it most, the internet of things is delivering gobs of data and remote device control across almost every industry, from healthcare to agriculture.

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Spell machine learning platform goes on-prem

An end-to-end machine learning platform designed for ease of use, Spell now offers incarnations for both public cloud and data center deployment

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IBM’s new CEO lays out his roadmap

At the virtual Think 2020 conference, CEO Arvind Krishna describes IBM's hybrid cloud ‘imperatives’

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Splunk Cloud comes to Google Cloud

Splunk’s cloud-based platform will provide natively integrated log analysis and metrics for Google Cloud Platform users

Do More With R [video teaser/video series] - R Programming Guide - Tips & Tricks

How to run R 4.0 in Docker — and 3 cool new R 4.0 features

See how to test drive R 4.0 in a Docker container, plus a look at three new R 4.0 features for color palettes and strings

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How to move data science into production

With new Integrated Deployment extensions, data scientists can capture entire KNIME workflows for automatic deployment to production or reuse

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How AIOps improves application monitoring

Devops and site reliability engineers are vital to keep applications functioning. AIOps boosts effectiveness another notch

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Major R language update brings big changes

R 4.0.0 brings numerous and significant changes to syntax, strings, reference counting, grid units, and more

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The best free data science courses during quarantine

6 excellent online courses and one book to learn statistics, machine learning, and deep learning while you’re locked in the house

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AWS unveils open source model server for PyTorch

Intended to ease production deployments of PyTorch models, TorchServe supports multi-model serving and model versioning for A/B testing

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GPipe and PipeDream: Scaling AI training in every direction

New frameworks Google GPipe and Microsoft PipeDream join Uber Horovod in distributed training for deep learning

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PyTorch 1.5 adds C++ power, distributed training

The powerful deep learning system for Python now makes it easier to integrate high performance C++ code and train models on multiple machines at once

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Cython tutorial: How to speed up Python

How to use Cython and its Python-to-C compiler to give your Python applications a rocket boost

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Checking AI bias is a job for the humans

By pre-processing or post-processing data, or even setting datasets to expire, humans can step in to correct machine learning models

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Google unveils TensorFlow tool for making mobile-ready models

TensorFlow Lite Model Maker shrinks TensorFlow models to more efficiently serve predictions on mobile devices

Do More With R [video teaser/video series] - R Programming Guide - Tips & Tricks

Dplyr across: First look at a new Tidyverse function

See how to use dplyr to run functions across multiple columns at once. You can even run more than one function in the same line of code

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AWS makes COVID-19 datasets freely available

AWS COVID-19 data lake makes regularly updated and curated COVID-19 datasets available to anyone with access to an AWS account

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AWS makes COVID-19 datasets freely available

AWS COVID-19 data lake makes regularly updated and curated COVID-19 datasets available to anyone with access to an AWS account

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Is your data lake open enough? What to watch out for

Like yesterday’s data warehouses, today’s data lakes threaten to lock us into proprietary formats and systems that restrict innovation and raise costs

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Review: Amazon SageMaker plays catch-up

With Studio, Autopilot, and other additions, Amazon SageMaker is now competitive with the machine learning environments available in other clouds

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