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

datapine

By gaining the ability to understand, quantify, and leverage the power of online data analysis to your advantage, you will gain a wealth of invaluable insights that will help your business flourish. The ever-evolving, ever-expanding discipline of data science is relevant to almost every sector or industry imaginable – on a global scale.

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Cindy Howson: Best Practices for AI and the Joy of Hosting a Podcast

DataRobot

When I offered recent podcast guest Cindi Howson the opinion that data science has become much simpler, she had a ready response: “Are you telling me it’s not hard anymore?”. But Howson knows her data science. One challenge, Cindi says, is convincing HR to apply the right metrics to hiring. I had to laugh.

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

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Bringing More AI to Snowflake, the Data Cloud

DataRobot Blog

This includes: Supporting Snowflake External OAuth configuration Leveraging Snowpark for exploratory data analysis with DataRobot-hosted Notebooks and model scoring. Exploratory Data Analysis After we connect to Snowflake, we can start our ML experiment. We recently announced DataRobot’s new Hosted Notebooks capability.

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One Big Cluster Stuck: The Right Tool for the Right Job

Cloudera

Here are some tips and tricks of the trade to prevent well-intended yet inappropriate data engineering and data science activities from cluttering or crashing the cluster. For data engineering and data science teams, CDSW is highly effective as a comprehensive platform that trains, develops, and deploys machine learning models.

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How data literacy allows gen AI to drive productivity at Dow

CIO Business Intelligence

As an integrated manufacturing capability, Dow is a complex puzzle, and these AI models help us incorporate historical data, market trends, and customer behaviors, all of which allow us to produce a more precise demand plan. Also, last August, we ran an AI immersion day, which the CEO Jim Fitterling and I co-hosted for our top 200 leaders.

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7 steps for turning shadow IT into a competitive edge

CIO Business Intelligence

After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years.

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