Data Science

Data Science | News, how-tos, features, reviews, and videos

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Data lineage: What it is and why it’s important

As your data evolves, you need a way to track the who, what, when, why, and how of those changes. You need a data lineage system.

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

How to send emails with graphics from R

See how to use the blastula package to send emails with text, graphs, and analysis right from R.

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Data wrangling and exploratory data analysis explained

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

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What we just learned about data science — and what’s next

The past 12 months have revealed how valuable data science can be while also exposing its limitations. Expect big advances in the year to come.

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NumPy 1.20 introduces type annotations

Major upgrade to the scientific package for Python also features expanded use of SIMD, increasing the execution speed of universal functions.

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Review: AWS AI and Machine Learning stacks up, and up

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

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7 data science predictions for 2021

After a trying 2020, signs point to data science becoming an enterprise-wide capability that impacts every line of business and functional department in the coming year.

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Patrick J. McGovern Foundation invests in AI for public good

Organization pledges $40 million for initiatives to help nonprofits and NGOs benefit from data science and to foster the responsible and inclusive use of data and AI.

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How to merge data in Python using Pandas merge

Use the popular Pandas library for data manipulation and analysis to read data from two files and join them into a single dataset.

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Reconciling political beliefs with career ambitions

Data professionals face personal dilemmas as AI contributes to ethical issues such as reduced privacy, algorithmic bias, and advanced military weapons.

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Today’s data science roles won’t exist in 10 years

AutoML is poised to turn developers into data scientists — and vice versa. Here’s how AutoML will radically change data science for the better.

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The cloud’s role in elections grows more significant

Most campaigns view polling data, logistics, and demographics as fundamental to winning an election. More likely, data science and cloud computing will win the day.

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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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