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Space-Based AI Shows the Promise of Big Data

Cloudera

At a distance of a million miles from Earth, the James Webb Space Telescope is pushing the edge of data transfer capabilities. 25 2021 on a mission to look at the early universe, at exoplanets, and at other objects of celestial interest. This e-learning allows lots of folks to assist with the AI. The observatory launched Dec.

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Data Labeling for Machine Learning: Market Overview, Approaches, and Tools

KDnuggets

So much of data science and machine learning is founded on having clean and well-understood data sources that it is unsurprising that the data labeling market is growing faster than ever.

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The Pipeline Academy Awards 2021

Pipeline Data Engineering

2021 was about the Cambrian explosion of data engineering tooling, yet you don't have to be a data scientist to be certain that 90% of the data tools will be gone in about two years or so, and for a good reason. The 2021 Pipeline Academy Awards (The Pipies) are brought to you by Pipeline Academy.

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What are the Prerequisites to Learn Machine Learning?

ProjectPro

In this blog, we have mentioned all the topics that are considered as prerequisites for learning machine learning. We have covered all the subjects and the best resources that will help you learn them thoroughly. Machine learning is no exception to that. Why should you learn Machine learning?

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Brief History of Data Engineering

Jesse Anderson

They were the first companies to commercialize open source big data technologies and pushed the marketing and commercialization of Hadoop. It was the place where the brightest big data minds came and spoke. Big data projects were given to data scientists and data warehouse teams, where the projects subsequently failed.

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The Ultimate Guide to Statistics for Machine Learning Beginners

ProjectPro

Probability and Statistics are two intertwined topics that smoothen one’s path to becoming a Machine Learning pro. In this blog, you will find a detailed description of all you need to learn about probability and statistics for machine learning. How to choose the Best Probability Course for Machine Learning?

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Data Labeling for Machine Learning: Market Overview, Approaches, and Tools

KDnuggets

So much of data science and machine learning is founded on having clean and well-understood data sources that it is unsurprising that the data labeling market is growing faster than ever.