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Predictive analytics vs. AI: Why the difference matters in 2023?

Data Science Dojo

Artificial Intelligence (AI) and Predictive Analytics are revolutionizing the way engineers approach their work. This article explores the fascinating applications of AI and Predictive Analytics in the field of engineering. Descriptive analytics involves summarizing historical data to extract insights into past events.

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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

Cloud analytics is one example of a new technology that has changed the game. Let’s delve into what cloud analytics is, how it differs from on-premises solutions, and, most importantly, the eight remarkable ways it can propel your business forward – while keeping a keen eye on the potential pitfalls. What is cloud analytics?

Analytics 203
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Machine Learning Interview Questions to Land the Perfect Data Science Job

Smart Data Collective

The Bureau of Labor Statistics reports that there were over 31,000 people working in this field back in 2018. You can help gaming companies by doing sophisticated data analytics to better understand player engagement. Are you looking to get a job in big data? That could be a wise career move. The median annual wage is $118,370.

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5 Powerful Networking Technologies That Are Disrupted By AI

Smart Data Collective

Internet of Things. In this digital age, people rely more on the internet to find and share information. Internet of Things is a critical tool for businesses. The number of IoT devices is projected to skyrocket from 10 billion to 64 billion between 2018 and 2025. AI has made it even more viable than ever.

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3 Takeaways from Gartner’s 2018 Data and Analytics Summit

DataRobot Blog

Paxata was a Silver Sponsor at the recent Gartner Data and Analytics Summit in Grapevine Texas. Today’s data management and analytics products have infused artificial intelligence (AI) and machine learning (ML) algorithms into their core capabilities. From all the sessions and conversations, we took away three important themes.

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10 edge computing innovators to keep an eye on in 2023

Dataconomy

The realm of edge computing has witnessed a substantial surge in recent years, propelled by the proliferation of remote work, the Internet of Things (IoT), and augmented/virtual reality (AR/VR) technologies, which have necessitated connectivity at the network’s periphery and novel applications.

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Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2

AWS Machine Learning Blog

FedML supports several out-of-the-box deep learning algorithms for various data types, such as tabular, text, image, graphs, and Internet of Things (IoT) data. 2018): 1-13. [2] She has a background in genomics, healthcare analytics, federated learning, and privacy-preserving machine learning. Define the model.

AWS 101