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Top 14 Must-Read Data Science Books You Need On Your Desk

datapine

In 2013, less than 0.5% This interdisciplinary field of scientific methods, processes, and systems helps people extract knowledge or insights from data in a host of forms, either structured or unstructured, similar to data mining. Why You Need To Read Data Science Books. of all available data was analyzed, used, and understood.

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Why you should care about debugging machine learning models

O'Reilly on Data

Security vulnerabilities : adversarial actors can compromise the confidentiality, integrity, or availability of an ML model or the data associated with the model, creating a host of undesirable outcomes. 1] “All models are wrong, but some are useful.” — George Box, Statistician (1919 – 2013). [2] If so, have fun debugging! [1]

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Build a RAG data ingestion pipeline for large-scale ML workloads

AWS Big Data

Download the questions From your jump host, download the questions data and upload it to your S3 bucket: stack_name="RAGStack" output_key="S3bucket" export AWS_REGION=$(curl -s [link] | sed 's/(.*)[a-z]/1/') After you review the cluster configuration, select the jump host as the target for the run command.

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How to use Netezza Performance Server query data in Amazon Simple Storage Service (S3)

IBM Big Data Hub

To make it easy for clients to understand how to utilize this capability within NPS, a demonstration was created that uses flight delay data for all commercial flights from United States airports that was collected by the United States Department of Transportation (Bureau of Transportation Statistics). Prerequisites for the demo.

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Great Storytelling With Data: Visualize Simply And Focus Obsessively

Occam's Razor

Second, between 2012 and 2013. When I present it, I'll say something like "Our peak investment, in Aquantive in 2013, was 700k." You are comparing 2012 and 2013, add a row of data at the top that shows your computation of the size of the opportunity for 2014. Or, any host of issues? That's hard enough.

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Periscope Data Expands to Israel, Empowering Data Teams with Powerful Tools

Sisense

We hosted over 150 people from more than 100 companies, who gathered to learn why data can supercharge their companies and how harnessing the huge power of data can take business from startup to unicorn. It’s why Sisense, having merged with Periscope Data in May 2019, chose to host this event in Tel Aviv. What VCs want from startups.

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Data Science at The New York Times

Domino Data Lab

He advocated that an impactful ML solution does not end with Google Slides but becomes “a working API that is hosted or a GUI or some piece of working code that people can put to work” Wiggins also dove into examples of applying unsupervised, supervised, and reinforcement learning to address business problems.