Analytics

Analytics | News, how-tos, features, reviews, and videos

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Tech Spotlight   >   Analytics [InfoWorld]   >   An image of an IT leader processing data analytics.

How to excel with data analytics

Finding success with data analytics requires good tools, good data management, and good strategy. Turn to these best practices to turn your growing volumes of data into better business decision-making.

Tech Spotlight   >   Analytics [Overview]   >   Conceptual image of data analytics.

5 perspectives on modern data analytics

You can't navigate business challenges without the right instruments. Done right, analytics initiatives deliver the essential insights you need, as these five articles explore.

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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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How to email text and graphics right from R

See how the blastula package lets you send 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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BlazingSQL review: Fast ETL for GPU-based data science

BlazingSQL builds on RAPIDS to distribute SQL query execution across GPU clusters, delivering the ETL for an all-GPU data science workflow.

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8 great Python libraries for natural language processing

With so many NLP resources in Python, how to choose? Discover the best Python libraries for analyzing text and how to use them.

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Forget databases. You need a data platform

We need one platform to ‘process, store, secure, and analyze data in real-time, across all the relevant data sets,’ says MongoDB’s CTO. But not a data warehouse and not a data lake.

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Out-of-this-world monitoring with InfluxDB and React

Build a React application to track the orbit of the International Space Station using Telegraf, InfluxDB, ExpressJS, and Giraffe.

Data science

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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3 kinds of bias in AI models — and how we can address them

A biased AI model must have learned a biased relationship between its inputs and outputs. We can fix that.

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

“Do More with R” video tutorials

Search for R video tutorials by task, topic, or package. Most videos are shorter than 10 minutes

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How to set up Python in RStudio

Are you an R user confused by setting up Python? See how to install and configure Python – and run Python code within RStudio. Plus: Send data from Python to an R object. With InfoWorld Python expert Serdar Yegulalp who explains the...

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8 databases supporting in-database machine learning

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

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Boosting science and engineering in the cloud

Cloud computing was like rocket fuel for software developers, lifting dev teams to new heights of productivity and innovation. Scientists and engineers are the next in line.

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