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15 best data science bootcamps for boosting your career

CIO Business Intelligence

An education in data science can help you land a job as a data analyst , data engineer , data architect , or data scientist. It’s a fast growing and lucrative career path, with data scientists reporting an average salary of $122,550 per year , according to Glassdoor. Data Science Dojo.

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SAP Industry Insights Podcast Highlights of 2021 with Host Tom Raftery

Timo Elliott

I recently had the opportunity to sit down with Tom Raftery , host of the SAP Industry Insights Podcast (among others!) Let me ask you another question: what did you enjoy most about hosting these episodes? to discuss some of the highlights and common themes in last year’s episodes. Episode 42: The Future of Sustainable Shopping.

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Production Data Science: Delivering Models with R Markdown

Domino Data Lab

R Markdown is one of those indispensable tools in a data scientist’s toolbox that provides speed and flexibility with the last-mile problem of getting your work into production. Speed comes from how easy it is to host and schedule R Markdown reports. Flexibility comes from the wide array of options for production output.

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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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7 steps for turning shadow IT into a competitive edge

CIO Business Intelligence

There are ample reasons why 77% of IT professionals are concerned about shadow IT, according to a report from Entrust. Still, there is a steep divide between rogue and shadow IT, which came under discussion at a recent Coffee with Digital Trailblazers event I hosted.

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What to Do When AI Fails

O'Reilly on Data

The most common types of AI systems are still only as good as their training data. If there’s no historical data that mirrors our current situation, we can expect our AI systems to falter , if not fail. To date, at least 1,200 reports of AI incidents have been recorded in various public and research databases. and the U.S.

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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly on Data

In practice this means developing a coherent strategy for integrating artificial intelligence (AI), big data, and cloud components, and specifically investing in foundational technologies needed to sustain the sensible use of data, analytics, and machine learning. Temporal data and time-series. Deep Learning.