Business Analytics Data Engineering How To Training 
O'Reilly Media - Ideas
JUNE 4, 2019
Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. How to Be a Better Mentor , August 5.
The Accidental Successful CIO
MAY 12, 2021
CIOs need to understand how to make use of new business intelligence tools Image Credit: deepak pal. Modern CIOs need to understand that Business intelligence (BI) leverages software and services to transform data into actionable insights that inform an company’s strategic and tactical business decisions.
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O'Reilly Media - Ideas
JUNE 5, 2019
Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. How to Be a Better Mentor , August 5.
Cloudera
OCTOBER 4, 2023
On top of these core critical capabilities, we also need the following: Petabyte and larger scalability — particularly valuable in predictive analytics use cases where high granularity and deep histories are essential to training AI models to greater precision. Ready to stop blinking and never miss a beat?
Cloudera
FEBRUARY 25, 2021
AMPs enable data scientists to go from an idea to a fully working ML use case in a fraction of the time, with an end-to-end framework for building, deploying, and monitoring business-ready ML applications instantly. . This AMP shows you how to get started with MLflow in CML. . MLflow for Experiment Tracking. Active Learning.
Cloudera
DECEMBER 21, 2020
Data Catalog profilers have been run on existing databases in the Data Lake. A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. A Cloudera Data Engineering service exists. The Data Scientist. Model training . The Data Engineer.
Cloudera
MAY 27, 2021
It’s important to be conscious of this reality when creating algorithms and training models. Big data algorithms are smart, but not smart enough to solve inherently human problems. If you have bad intentions, you can make it very bad,” said Michael Stiefel, a principal at Reliable Software Inc.
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