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Move beyond spreadsheets to data mining, forecasting, optimization – and more

Earl ZarombJune 29, 2020 0

How to improve recommendation engines with real-time context and business rules

Nowadays, recommendation engines can be found just about everywhere from news websites to e-commerce sites to online streaming services. However, customers frequently encounter recommendations that are inappropriate or repetitive.

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Advanced Analytics | Data Visualization | Programming Tips

Xavier BizouxApril 28, 2020 10

Continuous Integration/Continuous Delivery – Using Python and REST APIs for SAS Visual Analytics reports

With increasing interest in Continuous Integration/Continuous Delivery (CI/CD), many SAS Users want to know what can be done for Visual Analytics reports. In this article, I will explain how to use Python and SAS Viya REST APIs to extract a report from a SAS Viya environment and import it into another environment.

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Advanced Analytics | Learn SAS | Machine Learning | Programming Tips

Suzanne MorgenMarch 5, 2020 0

Learn about new data mining and machine learning procedures in SAS Viya

Have you heard that SAS offers a collection of new, high-performance CAS procedures that are compatible with a multi-threaded approach? The free e-book Exploring SAS® Viya®: Data Mining and Machine Learning is a great resource to learn more about these procedures and the features of SAS® Visual Data Mining and

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Advanced Analytics | Artificial Intelligence | Machine Learning

Christa CodyJanuary 16, 2020 1

Missing data? Quickly impute values using SAS Viya

This blog is part of a series on SAS Visual Data Mining and Machine Learning (VDMML). If you're new to SAS VDMML and you want a brief overview of the features available, check out my last blog post! This blog will discuss types of missing data and how to use imputation

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Advanced Analytics | Analytics | Machine Learning | Programming Tips

Nelson GrajalesDecember 11, 2019 0

Machine Learning with SASPy: Exploring and Preparing your data - Part 3

Parts 1 and 2 of this blog post discussed exploring and preparing your data using SASPy. To recap, Part 1 discussed how to explore data using the SASPy interface with Python. Part 2 continued with an explanation of how to prepare your data to use it with a machine-learning model.

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Advanced Analytics

Chevell ParkerOctober 16, 2019 2

Creating a word cloud using Python and SAS® software

Generating a word cloud (also known as a tag cloud) is a good way to mine internet text. Word (or tag) clouds visually represent the occurrence of keywords found in internet data such as Twitter feeds.

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Advanced Analytics | Analytics | Learn SAS | Machine Learning | Programming Tips

Nelson GrajalesSeptember 27, 2019 1

Machine learning with SASPy: Exploring and preparing your data (part 2)

This article continues a series that began with Machine learning with SASPy: Exploring and preparing your data (part 1). Part 1 showed you how to explore data using SASPy with Python. Here, in part 2, you will learn how to begin to prepare your data to use it within a

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Advanced Analytics | Data Visualization

Dr. Biljana Belamaric WilseySeptember 25, 2019 0

A data fairy tale: Which speakers are the best received at conferences?

Importing about 4,400 messages worth of data into SAS Visual Text Analytics to exploring it and create an information extraction model.

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Advanced Analytics | Analytics | Learn SAS | Machine Learning | Programming Tips

Nelson GrajalesSeptember 9, 2019 4

Machine learning with SASPy: Exploring and preparing your data (part 1)

SASPy is a powerful Python library that interfaces with SAS and can help with your machine-learning solutions. SASPy was created for Python programmers to leverage the power of SAS within their Python scripts. If you are not familiar with SASPy, see the following resources: Introducing SASPy: Use Python code to

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Advanced Analytics | Machine Learning

Sian RobertsSeptember 7, 2019 0

Why we need to learn how to "speak data" in a data-driven future

By 2020, 50% of organizations will lack sufficient AI and data literacy skills to achieve business value. – Gartner What is data literacy? Data literacy is the ability to read, work with, analyze, and argue with data. – Wikipedia Data literacy is the ability to derive meaningful information from data,

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