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Make Your Models Matter: What It Takes to Maximize Business Value from Your Machine Learning Initiatives

Cloudera

We are excited by the endless possibilities of machine learning (ML). We recognise that experimentation is an important component of any enterprise machine learning practice. Continuous Operations for Production Machine Learning (COPML) helps companies think about the entire life cycle of an ML model.

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10 Steps to Achieve Enterprise Machine Learning Success

Cloudera

You’ve probably heard it more than once: Machine learning (ML) can take your digital transformation to another level. 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. Optimize later.

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10 Platforms for Getting Started with Machine Learning

UruIT

Most recommended development and deployment platforms for machine learning projects. Are you getting started with Machine Learning? There’s a forecasted demand for Machine Learning among all kinds of industries. Innovative machine learning products and services on a trusted platform.

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Introducing CDP Data Engineering: Purpose Built Tooling For Accelerating Data Pipelines

Cloudera

With growing disparate data across everything from edge devices to individual lines of business needing to be consolidated, curated, and delivered for downstream consumption, it’s no wonder that data engineering has become the most in-demand role across businesses — growing at an estimated rate of 50% year over year.

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

UruIT

And whether you’re a novice or an expert, in the field of technology or finance, medicine or retail, machine learning is revolutionizing your industry and doing it at a rapid pace. You may recognize the ways that Machine Learning can improve your life and work but may not know how to implement it in your own company.

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Modernizing Data Pipelines using Cloudera Data Platform – Part 1

Cloudera

As critical elements in supplying trusted, curated, and usable data for end-to-end analytic and machine learning workflows, the role of data pipelines is becoming indispensable. To keep up, data pipelines are being vigorously reshaped with modern tools and techniques.

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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. Download Now.