Remove category Machine Learning
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Machine Learning vs. AI

Pure Storage

Artificial intelligence (AI) and machine learning (ML) are increasingly popular subjects, but what’s the difference between the two? In simple terms, AI is a wide field of technology that’s used to create intelligent machines, while ML is a subset of AI that uses algorithms to learn from data independently of human intervention. .

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Deep Learning vs. Machine Learning

Pure Storage

Both machine learning and deep learning have become critical for solving new challenges across several industries. We’ll take a closer look in this article, but generally speaking, machine learning is a type of artificial intelligence (AI) that uses algorithms to learn from data. What Is Machine Learning?

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How Automation Can Evolve (and Improve) the Role of DBA

Pure Storage

How Automation Can Evolve (and Improve) the Role of DBA by Pure Storage Blog Automation is no longer novel—it’s practical. Optimists say that machines will free human workers to do higher-value, more creative work. In other words, people want to learn and grow.” What’s the Perceived Threat?

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Get Started with Clustering: The Easy Way

Advancing Analytics

Clustering, or cluster analysis, is an unsupervised machine learning method. As the name implies, unsupervised machine learning refers to how the model 'learns' the data. It is a learning process opposite to supervised learning. In machine learning tasks, clustering is often used in one of two ways.

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What is MLOps and Why Do You Need It?

Advancing Analytics

MLOps (Machine Learning Operations) is the set of processes for the production ML lifecycle, basically a way to efficiently and reliably deploy and maintain ML models in production. If you want to know more about what deployment options there are in Azure, you can check out the following blog. Package Phase. Monitor Phase.

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How Formula 1 Car Sensors Create Data at Every Turn

Pure Storage

Modern F1 race cars are networked, connected, intelligent machines that can include hundreds of sensors and nearly a mile of wiring. Sensors come in three distinct categories: Instrumentation sensors, such as pressure and fuel flow sensors. Download the Guide to Breakthroughs to learn how to win with data in your business.

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5 Ways Data Reveals Next-level Insights

Pure Storage

If you can cross-reference it with unstructured data, such as social media data and website heatmaps, you can learn more. AI and machine learning can churn through huge volumes of data: media, imaging, audio, sensor data, text data, and much more. . What Else Can We Learn from Modern Data?

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