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10 Steps to Achieve Enterprise Machine Learning Success

Cloudera

We recently published a Cloudera Special Edition of Production Machine Learning For Dummies eBook. Chapter six of the eBook focuses on the 10 steps for making ML operational. Your data scientists will want a platform and tools that give them practical access to data, compute resources, and libraries. Optimize later.

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Once Upon a Time in the Land of Data

Cloudera

There is a clear consensus that data teams should express their goals and results in business value terms and not in technical, tactical descriptions, such as “improving data engineering” and “better master data management.” . Cloudera has written an ebook together with Corinium on the success factors for CDAOs.

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Cloudera DataFlow’s key milestones and wins in 2020

Cloudera

The pandemic has ushered in new ways of how we conduct businesses, remote work cultures, telehealth, grocery/food deliveries, etc. Click here for a quick overview video or download our eBook to get more details. Needless to say, 2020 was an unforgettable year in a lot of ways and we were all happy to say goodbye to it.

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Machine Learning basics: 10 Platforms to start learning and get awesome at it

UruIT

You can easily access our free eBook here: . MathWork focused on the development of these tools to become experts in high-end financial use and data engineering contexts. Now, let’s dig a little deeper into development and deployment platforms, what’s out there and what differentiates one from another. Algorithmia .

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10 Platforms for Getting Started with Machine Learning

UruIT

MathWork focused on the development of these tools in order to become experts on high-end financial use and data engineering contexts. Also, its solid presence in data science and machine learning software marketplace has allowed it to build a strong user base and customer relations. Algorithmia.

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Remove the Barriers from AI Adoption

DataRobot

Of the organizations surveyed, 52 percent were seeking machine learning modelers and data scientists, 49 percent needed employees with a better understanding of business use cases, and 42 percent lacked people with data engineering skills. Process Deficiencies. “AI Your company can do that, too. How AI Benefits Business Leaders.