CIO Business Intelligence
JANUARY 19, 2024
The certification consists of several exams that cover topics such as machine learning, natural language processing, computer vision, and model forecasting and optimization. You need experience in machine learning and predictive modeling techniques, including their use with big, distributed, and in-memory data sets.
CIO Business Intelligence
JUNE 14, 2023
SAS Certified Advanced Analytics Professional The SAS Certified Advanced Analytics Professional credential validates the ability to analyze big data with a variety of statistical analysis and predictive modeling techniques.
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CIO Business Intelligence
OCTOBER 5, 2023
Sandeep Davé knows the value of experimentation as well as anyone. CBRE has also used AI to optimize portfolios for several clients, and recently launched a self-service generative AI product that enables employees to interact with CBRE and external data in a conversational manner. And those experiments have paid off.
DataRobot
JANUARY 13, 2022
To move from experimental AI to production-level, trustworthy, and ROI-driven AI, it’s vital to align data scientists, business analysts, domain experts, and business leaders to leverage overlapping expertise from these groups. It’s easy to deploy, monitor, and manage models in production and react to changing conditions.
DataRobot Blog
JANUARY 10, 2023
ML model builders spend a ton of time running multiple experiments in a data science notebook environment before moving the well-tested and robust models from those experiments to a secure, production-grade environment for general consumption. Capabilities Beyond Classic Jupyter for End-to-end Experimentation.
DataRobot Blog
JULY 28, 2022
Companies are emphasizing the accuracy of machine learning models while at the same time focusing on cost reduction, both of which are important. The Kalman filter is a method for efficiently estimating the invisible internal “state” in a mathematical model called a state-space model.
Cloudera
FEBRUARY 16, 2022
Each time a project is successfully deployed, the trained model is recorded within the Models section of the Projects page. The AMPs framework also supports the promotion of models from the lab into production, a common MLOps task. This might require making batch and individual predictions.
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