Move beyond spreadsheets to data mining, forecasting, optimization – and more
Analytics makes it possible to uncover complex or organized fraud that rules-based systems would miss.
Diversas urgencias laborales y personales hicieron que dejara de escribir este blog con mis humildes opiniones y aportes técnicos. Superadas las mismas, aquí estoy de regreso. No les diré que muuuuuuchos seguidores al estilo de Wos pidieron a gritos mi regreso, pero he de decirles que ante mi sorpresa varias
Todos los negocios enfrentan desafíos de muy diferentes índoles, pero cuando nos referimos a aquellos que basan parte significativa de sus ingresos en el crédito - como los sectores financiero, telecomunicaciones y departamental o minorista-, éstos son los primeros en enfocar su atención y esfuerzo en alternativas creativas y hasta
SAS가 최근 글로벌 시장조사기관 가트너에서 발표한 ‘2020 가트너 매직 쿼드런트: 데이터 사이언스 및 머신러닝 플랫폼(2020 Gartner Magic Quadrant for Data Science and Machine Learning Platforms)’ 보고서에서 비전 완성도 및 실행력을 인정받아 리더로 선정됐습니다. SAS는 해당 부문에서 유일하게 7년 연속 리더로 선정됐는데요! 작년 대비 괄목할 만한 성장을 보이며 최상위 리더 제품으로
Mathematical optimization can help business leaders make better decisions in every aspect of their business. After a model has been built, end users are usually interested in doing some sort of scenario analysis to test its robustness and visualizing key performance metrics. SAS has various products that can work with
In a previous article, I discussed the binormal model for a binary classification problem. This model assumes a set of scores that are normally distributed for each population, and the mean of the scores for the Negative population is less than the mean of scores for the Positive population. I
I caught up with Jaimy van Dijk, one of our youngest female SAS Data Scientists who has proven herself to be a true Rockstar.
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
Did you know that you can use SAS Enterprise Miner 15.1 to easily create an ASTORE? You can create an ASTORE from an HP SVM node, an HP FOREST node, and also from some SAS Viya Code Nodes! This blog will show you how.
Jim Harris explains the relevance of DevOps, DataOps and ModelOps for data analytics practitioners.
Is it getting harder and harder to find empty Excel spreadsheets cells, as you run out of columns and rows? Do your spreadsheet cell labels have more letters than the license plate on your car? Do you find yourself waking up in the middle of the night in cold
Most model assessment metrics, such as Lift, AUC, KS, ASE, require the presence of the target/label to be in the data. This is always the case at the time of model training. But how can I ensure that the developed model can be applied to new data for prediction?
This post describes a fully automated validation pipeline for analytical models as part of an analytical platform, which has been set up recently as part of a customer project.
Let us now take a look at a well-known metaphor for test case development in the software industry. We are referring to the idea of the “test pyramid."
In total, there are four posts in this blog series, this is the first post describing some basic principles of the DevOps (or ModelOps) approach.
This blog is a part of a series on the Data Science Pilot Action Set. In this blog we review all nine actions in Python. Have you noticed the button bar in the upper right-hand corner of the SAS Visual Data Mining and Machine Learning Programming Guide? This button bar
Starting your data scientist journey? Want to build your own predictive models? SAS' Xavier Bizoux shows you how to use SAS Visual Analytics to identify which model likely to perform the best.
This blog is a part of a series on the Data Science Pilot Action Set. In this blog, we discuss updates to Visual Data Mining and Machine Learning with the release of Viya 3.5. In the middle of my blog series, SAS released Viya 3.5. Included in Viya 3.5 was the
Almost everyone enjoys a good glass of wine after a long day, but did you ever stop to wonder how the exact bottle you're looking for makes its way to the grocery store shelf? Analytics has a lot to do with it, as SAS demonstrated to attendees at the National
Everyone is talking about artificial intelligence (AI) and how it affects our lives -- there are even AI toothbrushes! But how do businesses use AI to help them compete in the market? According to Gartner research, only half of all AI projects are deployed and 90% take more than three
올해 1월 IDC에서 발표한 ‘IDC 마켓스케이프: 2019-2020년 전 세계 범용 인공지능 소프트웨어 플랫폼 벤더 평가(IDC MarketScape: Worldwide General-Purpose Artificial Intelligence Software Platforms 2019–2020 Vendor Assessment)’ 보고서에서 SAS가 리더로 선정되었습니다🙌🙌 IDC에서 인공지능(AI) 플랫폼 공급업체들을 평가한 것은 이번이 처음이었는데요. IDC 마켓스케이프 보고서는 수익 및 시장성을 비롯해 기업별 AI 전략 및 기능에 대한
How do you convince busy IT integration partners to take a deep dive into new technology without asking them to also first sell a solution to a client? After all, time is money for implementation partners. At SAS, we are keen to introduce our partners and, through them, more clients
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
In my book Simulating Data with SAS, I show how to use a graphical tool, called the moment-ratio diagram, to characterize and compare continuous probability distributions based on their skewness and kurtosis (Wicklin, 2013, Chapter 16). The idea behind the moment-ratio diagram is that skewness and kurtosis are essential for
The new method tackles the challenge of missing features under the multi-task learning framework. The proposed method is effective for prediction and model estimation when missing data is present.
El mundo ha estado escuchando de Inteligencia Artificial desde 1956 y si cree que el 2019 ya estuvo suficientemente saturado este tema, prepárese: todo lo que ha pasado hasta ahora no es más que el comienzo. El 2019 fue un año en el que IA brilló con intensidad impulsando la
SAS Model Studio lets modelers use SAS alongside open source to create and compare models in a pipeline and project. Debugging, model comparison, and visual pipelines are included.
Computer vision can augment radiologists and make the image interpretation process cheaper, faster and more accurate. The ultimate goal is to achieve a better patient outcome facilitated by the use of computer vision.
This blog focuses on using SASPy for modeling and machine learning.
Data scientists naturally use a lot of machine learning algorithms, which work well for detecting patterns, automating simple tasks, generalizing responses and other data heavy tasks. As a subfield of computer science, machine learning evolved from the study of pattern recognition and computational learning theory in artificial intelligence. Over time, machine learning has borrowed from many
