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Neural Networks: What are they and why do they matter? | SAS
Neural networks are computing systems with interconnected nodes that work much like neurons in the human brain. Using algorithms, they can recognize hidden patterns and correlations in raw data, cluster and classify it, and – over time – continuously learn and improve.

Analyze with a Neural Network Model - SAS Help Center
Neural networks are a class of parametric models that can accommodate a wider variety of nonlinear relationships between a set of predictors and a target variable than can logistic regression.

Neural Networks: What are they and why do they matter?
Neural networks are computing systems with interconnected nodes that work much like neurons in the human brain. Using algorithms, they can recognise hidden patterns and correlations in raw data, cluster and classify it, and – over time – continuously learn and improve.

Building a Neural Network Model in SAS Visual Data Mining and Machine ...
In this video, you learn how to use SAS Visual Data Mining and Machine Learning in the context of neural networks. The use case examines the drivers of website visitors and what causes them to download a paper from an IT company’s site.

Artificial intelligence, machine learning, deep learning and more
It uses methods from neural networks, statistics, operations research and physics to find hidden insights in data without being explicitly programmed where to look or what to conclude.

Recurrent Neural Networks in SAS Viya
The deepLearn action set is highly flexible and lets you build many types of neural networks. With respect to RNNS, the deepLearn action set supports both long short-term memory (LSTM) and gated recurrent unit (GRU) RNNs.

SAS Training | Browse Course Catalog
Course ModelOps: Governing AI and Machine Learning Models That Drive Your Business with SAS® Course Neural Networks: Essentials Cert Prep Practice Exam: Applied Statistics for Machine Learning Cert Prep

SAS Viya Workbench: Machine Learning using the New SAS Viya Workbench ...
The purpose of this post is to learn how to use the new machine learning procedures in SAS Viya Workbench to build and evaluate machine learning models. SAS Viya Workbench is a new SAS programming environment that supports the use of both the SAS and Python languages. A key goal in SAS Viya Workbenc...

Global search - learn.sas.com
Build models using deep learning techniques and use neural networks to solve problems that include traditional classification, image classification, and sequence-dependent outcomes. Incorporate network analysis and network optimization solutions using the NETWORK and OPTNETWORK procedures in SAS Viya. Analyze streaming data for IoT.

Recurrent neural networks for payment fraud detection
More recent approaches in AI/ML, such as recurrent neural networks (RNNs)/transformers for natural language processing, have had great success in dealing with sequence data.

 

 

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