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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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Kaggle calls data scientists to action on COVID-19

In newest challenge, Kaggle asks AI researchers to apply machine learning tools and techniques to answering questions about COVID-19

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Review: Nvidia’s Rapids brings Python analytics to the GPU

An end-to-end data science ecosystem, open source Rapids gives you Python dataframes, graphs, and machine learning on Nvidia GPU hardware

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Interested in machine learning? Better learn PyTorch

Don’t look now, but easy, straightforward PyTorch has become the hottest product in data science

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Interested in machine learning? Better learn PyTorch

Don’t look now, but easy, straightforward PyTorch has become the hottest product in data science

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How to keep bias out of your AI models

AI models are empty, neutral machines. They will acquire a bias when trained with biased data

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2 cloud and AI myths you shouldn’t believe

If you think the cloud will drive data centers to extinction and that AI projects are doomed to fail, think again

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Pandas 1.0 brings big breaking changes

The first major point release of the powerful Python data analysis package removes many features and deprecates many others

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Netflix open sources data science management tool

Metaflow manages Python data science projects end-to-end, works with any machine learning library, and integrates with AWS cloud services

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Simplifying data management in the cloud

Enterprises are bogged down in a sea of data complexity as they expand the use of cloud-native databases. Could self-identifying data be the answer?

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6 best programming languages for AI development

Which programming language should you pick for your machine learning or deep learning project? These are your best options

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Handicapping the AI modeling horse race

AI has become a core focus for application developers everywhere. It’s as hot in the consumer space as it is in business, industry, research, and government

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Data science and cloud computing win most political campaigns

With the 2020 elections a year away, technology will play a bigger role than policy. Enterprises should learn something

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Why retailers can’t get enough data scientists

As the retail apocalypse continues – with an estimated 8,600 closing their doors in 2019 – other retail survivors are upping their game with hard-to-find data scientists

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Google previews site for sharing machine learning experiments

TensorBoard.dev allows you to upload and share TensorBoards and visualize model graphs and metrics

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Data integration platforms every developer should understand

Knowing the new data practices and machine learning technologies is vital for software developers to create business value

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Artificial intelligence today: What’s hype and what’s real?

Two decades into the AI revolution, deep learning is becoming a standard part of the analytics toolkit. Here’s what it means

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Semi-supervised learning explained

Using a machine learning model’s own predictions on unlabeled data to add to the labeled data set sometimes improves accuracy, but not always

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Deep learning frameworks: PyTorch vs. TensorFlow

If you actually need a deep learning model, PyTorch and TensorFlow are both good choices

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PyTorch vs. TensorFlow: How to choose

If you actually need a deep learning model, PyTorch and TensorFlow are the two leading options

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