Data Science

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Where to find free and open data sets on the web

From government, health, and finance data to weather, baseball, and Star Trek, countless collections of free data are available to scratch almost your analytical itch

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What is computer vision? AI for images and video

Computer vision systems are not only good enough to be useful, but in some cases more accurate than human vision

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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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How to run Anaconda side by side with other Pythons

Want to use Anaconda alongside other Python distributions? Here’s how to keep those Python installs from stepping on each other’s toes

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How to choose a data analytics platform

A brief guide to the analytics lifecycle, the expanding array of tools and technologies, and selecting the right data platform for your needs

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15 hot tech skills getting hotter -- no certification required

Employers are apt to invest more often in cash premiums for noncertified tech skills compared to certifications. Here are a few they’re coveting the most now and going forward.

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For data scientists, drudgery is still job #1

Data cleaning and preparation still eats up nearly half the workload of data scientists, according to Anaconda’s new survey

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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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3 ways to apply agile to data science and dataops

Take an agile approach to dashboards, machine learning models, cleansing data sources, and data governance

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Data science during COVID-19: Some reassembly required

Most likely, the assumptions behind your data science model or the patterns in your data did not survive the coronavirus pandemic. Here’s how to address the challenges of model drift

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Julia vs. Python: Which is best for data science?

Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job

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How data analysis, AI, and IoT will shape the post-pandemic ‘new normal’

Only a common public health infrastructure of AI, cloud computing, streaming, and the Internet of Things can marshal our data against pandemics

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6 Python libraries for parallel processing

Want to distribute that heavy Python workload across multiple CPUs or a compute cluster? These frameworks can make it happen

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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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The best free data science courses during lockdown

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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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

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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