The SAS Data Science Blog

Machine Learning

Get the latest machine learning algorithms and techniques

Patricia NeriNovember 11, 2019 0

Analyze tweets about global warming using Fact Autogeneration

Analyzing tweets is challenging because of their succinctness (max 280 characters). However, that task is facilitated by the powerful features of SAS Visual Text Analytics (VTA), which includes embedded machine learning algorithms.

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Advanced Analytics | Analytics | Machine Learning

Sophia RowlandNovember 6, 2019 0

Everything But the Kitchen Sink Feature Generation

Are you looking for a Data Science easy button? The dataSciencePilot action set comes pretty close.

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Advanced Analytics | Analytics | Machine Learning

Sophia RowlandOctober 23, 2019 2

An Easy Button for Data Science

Are you looking for a Data Science easy button? The Data Science Pilot Action Set comes pretty close.

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Machine Learning

Beth EbersoleOctober 14, 2019 0

Training, validation and testing for supervised machine learning models

Validating and testing our supervised machine learning models is essential to ensuring that they generalize well. SAS Viya makes it easy to train, validate, and test our machine learning models.

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Artificial Intelligence | Machine Learning

Beth EbersoleJuly 3, 2019 1

Convolutional Neural Networks: Briefly

Neural networks, particularly convolutional neural networks, have become more and more popular in the field of computer vision. What are convolutional neural networks and what are they used for?

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Advanced Analytics | Machine Learning

Emily GaoMay 23, 2019 0

Bayesian optimization in SAS

Learn how Bayesian optimization works through a simple demo.

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Advanced Analytics | Artificial Intelligence | Machine Learning

Xindian LongNovember 19, 2018 0

Understanding object detection in deep learning

What is object detection? Object detection, a subset of computer vision, is an automated method for locating interesting objects in an image with respect to the background. For example, Figure 1 shows two images with objects in the foreground. There is a bird in the left image, while there is a dog

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Artificial Intelligence | Machine Learning

Pei-Yi TanOctober 31, 2018 0

Improving model interpretability with LIME

We have updated our software for improved interpretability since this post was written. For the latest on this topic, read our new series on model-agnostic interpretability. While some machine learning models – like decision trees – are transparent, the majority of models used today – like deep neural networks, random forests, gradient boosting

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Advanced Analytics | Machine Learning

Susan KahlerOctober 17, 2018 1

Four machine learning strategies for solving real-world problems

There are four widely recognized styles of machine learning: supervised, unsupervised, semi-supervised and reinforcement learning. These styles have been discussed in great depth in the literature and are included in most introductory lectures on machine learning algorithms. As a recap, the table below summarizes these styles. For a comprehensive mapping

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Advanced Analytics | Machine Learning

Wayne ThompsonOctober 16, 2018 0

Why you need GPUs for your deep learning platform

Deep learning has taken off because organizations of all sizes are capturing a greater variety of data and can mine bigger data, including unstructured data. It’s not just large companies like Amazon, SAS and Google that have access to big data. It’s everywhere. Deep learning needs big data, and now

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