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Streaming Big Data Files from Cloud Storage

Towards Data Science

This continues a series of posts on the topic of efficient ingestion of data from the cloud (e.g., Before we get started, let’s be clear…when using cloud storage, it is usually not recommended to work with files that are particularly large. Be sure to check out the documentation to learn more. here , here , and here ).

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Boosting Media & Entertainment Production Efficiency with AI and Cloud

RandomTrees

Deep learning algorithms are able to scan materials and recreate artifacts, such as textures, movements, or even lighting, in a realistic fashion. Building up realistic imagery from a source such as CGI can potentially be very manual intensive, consisting of things such as 3D construction work as well as motion capture.

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Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

Uber expanded Michelangelo “to serve any kind of Python model from any source to support other Machine Learning and Deep Learning frameworks like PyTorch and TensorFlow [instead of just using Spark for everything].”. Therefore, the majority of machine learning/deep learning frameworks focus on Python APIs.

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Educating Data Analysts at Scale: Cloudera Launches Modern Big Data Analysis with SQL on Coursera

Cloudera

At a time when machine learning, deep learning, and artificial intelligence capture an outsize share of media attention, jobs requiring SQL skills continue to vastly outnumber jobs requiring those more advanced skills.

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Top 10 Data Science Websites to learn More

Knowledge Hut

Learning inferential statistics website: wallstreetmojo.com, kdnuggets.com Learning Hypothesis testing website: stattrek.com Start learning database design and SQL. File systems can store small datasets, while computer clusters or cloud storage keeps larger datasets.

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Best Computer Courses to Get a High Paying Job

Knowledge Hut

While artificial intelligence is a broad domain, various subdomains like deep learning and artificial neural networks have abundant opportunities shortly. And what better solution than cloud storage?

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Of Muffins and Machine Learning Models

Cloudera

In the case of CDP Public Cloud, this includes virtual networking constructs and the data lake as provided by a combination of a Cloudera Shared Data Experience (SDX) and the underlying cloud storage. Each workspace typically contains one or more projects. Each user associated with a project performs work via a session.