machine-learning-engineer Blog Related Topics 
Cloudera
OCTOBER 14, 2020
To maximize safety for all passengers and crew members, while also delivering profits, airlines have heavily invested in predictive analytics to gain insight on the most cost-effective way to maintain real-time engine performance. Fig 1: Turbofan jet engine. The Process. Airlines design their aircraft to operate at 99.999% reliability.
CIO
SEPTEMBER 29, 2023
Most relevant roles for making use of NLP include data scientist , machine learning engineer, software engineer, data analyst , and software developer. TensorFlow Developed by Google as an open-source machine learning framework, TensorFlow is most used to build and train machine learning models and neural networks.
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CIO
OCTOBER 13, 2023
Machine learning engineer Machine learning engineers are tasked with transforming business needs into clearly scoped machine learning projects, along with guiding the design and implementation of machine learning solutions.
Dataiku
MAY 7, 2020
Last week, Luke Posey published an opinion piece called Machine Learning Engineers Will Not Exist In 10 Years. However, it’s hard to imagine a world where software and machine learning engineers merge, and I’ll unpack why in this blog post.
Xebia
NOVEMBER 30, 2023
In the last few years, the discipline of Machine Learning Operations (MLOps) has been received a lot of traction to get more Machine Learning (ML) solutions into productions, reduce iteration cycles, and reduce costs for engineering and maintenance. How can you assess the maturity of your organization in MLOps?
Cloudera
SEPTEMBER 13, 2018
Machine learning. It’s a bit surprising to note, then, that perhaps the most limiting factor in data science and machine learning today is people. This is where the promises of machine learning come in. DFS brainstorms, calculates, and recommends the most predictive features for any machine learning problem.
Cloudera
APRIL 23, 2024
The Hackathon was intended to provide data science experts with access to Cloudera machine learning to develop their own Accelerated Machine Learning Project (AMP) focused on solving one of the many environmental challenges facing the world today.
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