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Advanced Analytics

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

Wayne ThompsonAugust 25, 2017 0

Machine learning best practices: Manage the temporal effect

This is the sixth post in my series of machine learning best practices. If you've come across the series for the first time, you can go back to the beginning or read the whole series. Aristotle was likely one of the first data scientists who studied empiricism by learning through

English

Advanced Analytics | Analytics

Thomas Bodenmüller-DodekAugust 23, 2017 0

SAS Visual Analytics: Hallo Emilia – Goodbye Daniel

Die Geburtenrate in Deutschland befindet sich derzeit auf dem höchsten Niveau seit 33 Jahren. Eine erfreuliche Entwicklung, und zugleich stellt es Eltern vor die schwere Entscheidung, welchen Namen der Nachwuchs tragen soll. Zahlreiche Webseiten und Bücher bieten Hitlisten und Namensbeschreibungen an, um die Auswahl zu erleichtern. Oder sollte man das

German

Advanced Analytics | Machine Learning

SAS KoreaAugust 22, 2017 0

최적의 ‘머신러닝 알고리즘’을 고르기 위한 치트키

“어떤 알고리즘을 사용해야 할까요?” 수많은 종류의 머신러닝 알고리즘을 맞닥뜨린 초급자 분들이 가장 많이 물어보는 전형적인 질문인데요. 사실 이 질문에 대한 답변은 하단 내용을 비롯한 수많은 요인에 따라 달라집니다. 데이터의 크기, 품질, 특성 가용 연산(계산) 시간 작업의 긴급성 데이터를 이용해 하고 싶은 것 그렇기에 숙련된 데이터 과학자(Data scientist)조차도 여러 알고리즘을 직접

Korean

Advanced Analytics | Data Management

Mary Kathryn QueenAugust 16, 2017 0

Load Data into SAS Viya via REST API

In this blog post I am going to cover the example of importing data into SAS Viya using Cloud Analytic Services (CAS) actions via REST API. For example, you may want to import data into a CASLib via REST API. This means you can perform an import of data outside

English

Advanced Analytics | Analytics | Data Management | Machine Learning

Charlie ChaseAugust 16, 2017 0

At the end of the day, it’s all about analytics-driven forecasting

Analytics-driven forecasting means more than measuring trend and seasonality. It includes all categories of methods (e.g. exponential smoothing, dynamic regression, ARIMA, ARIMA(X), unobserved component models, and more), including artificial intelligence, but not necessarily deep learning algorithms. That said, deep learning algorithms like neural networks can also be used for demand forecasting,

English

Manufacturing | Retail

Advanced Analytics | Data Visualization | Programming Tips

Robert AllisonAugust 10, 2017 0

So, 27 US states are farther north than Canada, eh?

With all the recent talk about some people wanting to move from the US to Canada, I got to wondering how cold, and how far north Canada is. And after a few Google searches, I was surprised to learn that 27 US states are actually farther north than the southernmost point

English

Government | Travel

Advanced Analytics | Learn SAS

Kattamuri SarmaAugust 10, 2017 0

3 steps to prepare your data for accurate predictive models in SAS Enterprise Miner

In this post I describe the important tasks of data preparation, exploration and binning.These three steps enable you to know your data well and build accurate predictive models. First you need to clean your data. Cleaning includes eliminating variables which have uneven spread across the target variable. I give an

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Advanced Analytics | Machine Learning

Wayne ThompsonAugust 10, 2017 0

Machine learning best practices: Autotune models to avoid local minimum breakdowns

This is the fifth post in my series of machine learning best practices. Hyperparameters are the algorithm options one "turns and tunes" when building a learning model. Hyperparameters cannot be learned using that algorithm. So, these parameters need to be assigned before training of the model. A lot of manual

English

Advanced Analytics | Machine Learning

SAS KoreaAugust 9, 2017 0

데이터 과학자가 뽑은 "머신러닝 알고리즘 개발 베스트 프랙티스 1탄"

1980년대 후반에만 해도 머신러닝(machine learning)이나 데이터 과학자와 같은 개념은 없었습니다. 대신 통계, 분석, 데이터 마이닝, 데이터 모델링과 같은 단어가 사용됐는데요. 이후 글로벌 기업들은 30년 이상 머신러닝 모델을 연구해 왔으며, 페이스북의 이미지 인식 소프트웨어, 아마존의 음성 비서 알렉사, KT의 인공지능 서비스 기가 지니(GiGA Genie)까지 그 결과들이 연이어 쏟아지고 있죠! 이러한 결실

Korean

Advanced Analytics

Classical and robust principal component scores for crime data, computed in SAS

Rick WicklinAugust 9, 2017 0

Robust principal component analysis in SAS

Recently, I was asked whether SAS can perform a principal component analysis (PCA) that is robust to the presence of outliers in the data. A PCA requires a data matrix, an estimate for the center of the data, and an estimate for the variance/covariance of the variables. Classically, these estimates

English

Advanced Analytics

Fiona McNeillAugust 4, 2017 0

Try it - you'll like it...

It's a common mantra many parents use to encourage their children to expand their food choices and try something new. Even as adults we’re often more comfortable easing into the unfamiliar, taking small bites, tiny samples, even dipping a toe in the water before diving in headfirst. Software is no

English

Advanced Analytics | Machine Learning

Wayne ThompsonAugust 3, 2017 0

Machine learning best practices: Put your models to work

This is the fourth post in my series of 10 machine learning best practices. It’s common to build models on historical training data and then apply the model to new data to make decisions. This process is called model deployment or scoring. I often hear data scientists say, “It took

English

Advanced Analytics | Machine Learning

Wayne ThompsonJuly 25, 2017 0

Machine learning best practices: combining lots of models

This is the third post in my series of machine learning techniques and best practices. If you missed the earlier posts, read the first one now, or review the whole machine learning best practices series. Data scientists commonly use machine learning algorithms, such as gradient boosting and decision forests, that automatically build

English

Advanced Analytics | Data Visualization | Learn SAS

Robert AllisonJuly 25, 2017 0

23 MSAs account for 1/2 of US GDP!

When it comes to economic activity, a handful of the largest metropolitan areas in the US account for lion's share. In 2013, the top 23 Metropolitan Statistical Areas (MSAs) accounted for 50% of the total US Gross Domestic Product (GDP). I recently came across a map created by Alexandr Trubetskoy

English

Government

Advanced Analytics | Analytics | Risk Management

Hartmut KömmeJuly 20, 2017 0

Neue Prozess-Infrastruktur für die Renaissance des Datasteps

Wenn es darum geht, mit Daten zu arbeiten, dann ist der klassische SAS Datastep eines der wirksamsten Werkzeuge, das uns zur Verfügung steht. Es ist sehr einfach, mithilfe von Datenauswahl, Formeln und Bedingungen im Datastep sowie in spezifischen SAS Prozeduren zu Ergebnissen zu kommen. Hieraus sind in der Praxis umfangreiche

German

Banking | Insurance

Advanced Analytics | Machine Learning

two charts show under sampling and oversampling

Wayne ThompsonJuly 19, 2017 0

Machine learning best practices: detecting rare events

This is the second post in my series of machine learning best practices. If you missed it, read the first post, Machine learning best practices: the basics. As we go along, all ten tips will be archived at this machine learning best practices page. Machine learning commonly requires the use of

English

Advanced Analytics | Analytics

Larry OrimoloyeJuly 17, 2017 0

What are the characteristics of “true clusters?”

In the digital world where billions of customers are making trillions of visits on a multi-channel marketing environment, big data has drawn researchers’ attention all over the world. Customers leave behind a huge trail of data volumes in digital channels. It is becoming an extremely difficult task finding the right

English

Advanced Analytics | Data Visualization

Robert AllisonJuly 17, 2017 0

Tracking STEM degrees - a deeper look!

My previous blog post focused on a graph, showing the % of women earning STEM degrees in various fields. While that graph was was designed to answer a very specific question, let's now look at the data from a broader perspective. Let's look at the total number of STEM degrees

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Education

Advanced Analytics | Data Visualization

Prediction regions for a classification problem with two outcomes. Graph created in SAS.

Rick WicklinJuly 17, 2017 0

3 ways to visualize prediction regions for classification problems

An important problem in machine learning is the "classification problem." In this supervised learning problem, you build a statistical model that predicts a set of categorical outcomes (responses) based on a set of input features (explanatory variables). You do this by training the model on data for which the outcomes

English

Advanced Analytics | Machine Learning

Wayne ThompsonJuly 12, 2017 0

Machine learning best practices: the basics

I started my training in machine learning at the University of Tennessee in the late 1980s. Of course, we didn’t call it machine learning then, and we didn’t call ourselves data scientists yet either. We used terms like statistics, analytics, data mining and data modeling. Regardless of what you call

English

Advanced Analytics | Programming Tips

Rick WicklinJuly 12, 2017 0

The bias-corrected and accelerated (BCa) bootstrap interval

I recently showed how to compute a bootstrap percentile confidence interval in SAS. The percentile interval is a simple "first-order" interval that is formed from quantiles of the bootstrap distribution. However, it has two limitations. First, it does not use the estimate for the original data; it is based only

English

Advanced Analytics

Hui LiJuly 6, 2017 0

How to use regularization to prevent model overfitting

When building models, data scientists and statisticians often talk about penalty, regularization and shrinkage. What do these terms mean and why are they important? According to Wikipedia, regularization "refers to a process of introducing additional information in order to solve an ill-posed problem or to prevent overfitting. This information usually

English

Advanced Analytics

Rob PrattJuly 3, 2017 0

Fun with Flags: Optimizing Arrangements of Stars with SAS

Tomorrow is Independence Day, a federal holiday in the United States. Flags are displayed everywhere, especially in Washington, D.C., where I live. So let's have a little Fun with Flags! The current U.S. flag has 50 stars, one per state, with five rows of six stars interleaved with four rows

English

Advanced Analytics | Programming Tips

Makoto Unemi (畝見真)July 3, 2017 0

SAS Viyaでフーリエ変換

みなさま、こんにちは。さて突然ですが、フーリエ変換ってご存知ですか？おそらく物理学や経済学で波形データを分析したことのある方には馴染みがあるでしょうが、フーリエ変換は波形データを扱う手法です。フーリエ変換では周期的な波形を、sin波やcos波の重ね合わせで説明しようというものです。たとえば以下のような波形データは、どの時間にどのくらいの強さの波が流れているかを表現しています。これをフーリエ変換することで、周波数と振幅で表すことができるようになります。 ↓　フーリエ変換！　↓ 従来のSAS製品では波形データでフーリエ変換をする機能を提供していなかったのですが、SAS ViyaのSAS Forcastingという製品を使うことで、フーリエ変換を実施することができるようになりました。 SAS Viyaでできるのは短時間フーリエ変換（Short time Fourier transform）です。今回はSAS Viyaでフーリエ変換を実施してみたいと思います。プログラミング言語はPythonを使用します。まずは前準備として、必要なライブラリをインポートし、CAS sessionを作成します。 CAS sessionはSAS Viyaでデータ分析を行うCASというエンジンへ認証し、接続するものです。 # CAS sessionの用意 import swat host = "localhost" port = 5570 user = "user" password = "p@ssw0rd" mysession = swat.CAS(host, port, user, password) #

Japanese

Advanced Analytics | Internet of Things | Machine Learning

Charlie ChaseJune 27, 2017 0

Forecasting at the edge for real-time demand execution

Let me start by posing a question: "Are you forecasting at the edge to anticipate what consumers want or need before they know it?" Not just forecasting based on past demand behavior, but using real-time information as it is streaming in from connected devices on the Internet of Things (IoT).

English

Manufacturing | Retail

Advanced Analytics | Learn SAS | Programming Tips

Rick WicklinJune 21, 2017 0

Jackknife estimates in SAS

One way to assess the precision of a statistic (a point estimate) is to compute the standard error, which is the standard deviation of the statistic's sampling distribution. A relatively large standard error indicates that the point estimate should be viewed with skepticism, either because the sample size is small

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Advanced Analytics | Data Management | Data Visualization

InterviewJune 7, 2017 0

Gastinterview mit adesso AG Marius Gödtel " Versicherer brauchen schnelle Reportings "

Unser Interviewpartner Marius Gödtel ist Leiter des Competence Centers Business Intelligence IT-Consulting bei der adesso AG, einem IT-Dienstleister im BI-Umfeld. Marius Gödtel ist ehemaliger Geschäftsführer der flitcon GmbH, die seit 01. Juli 2016 Teil der adesso AG ist. Herr Gödtel, wie präsentieren Sie die adesso AG auf dem SAS Forum in

German

Banking | Insurance

Advanced Analytics | Analytics

David DowningJune 7, 2017 0

From government digitalisation to wholesale transformation

In a world that never stands still, especially in the post-Brexit whirlwind the UK will soon be entering, it’s imperative that government is agile and responsive. More importantly, how can this capability be arrived at without breaking the bank? The UK Government recently released its Transformation Strategy 2017 to 2020.

English

Government

Advanced Analytics | Data Management | Data Visualization | Learn SAS

Michela GuerraJune 6, 2017 0

Digital Learning per una nuova esperienza di apprendimento digitale

La digital transformation spazza come un vento tutti i settori industriali e promette di essere un motore per la competitività, la produttività e l’occupazione. Investire sul miglioramento delle competenze e il rafforzamento dei profili professionali è il punto di partenza per attuare la trasformazione di cui tanto si parla. Partendo

Italian

Advanced Analytics | Analytics | Internet of Things

Christian GoßlerMay 31, 2017 0

Lenin und die Strombaukunst im Internet of Throughput (IoT4)

„Durchsatz ist wichtig, jaja“, Supply-Chain-Leiter Herr Aklit lehnt sich zurück, faltet seine Hände über dem üppigen Bauch und sagt zu Lenin: „Sie haben ja schon einiges in Fluss gebracht mit Ihren Projekten zur Datenanalyse im Internet of Things.“ Er atmet tief durch und schaut aus dem Fenster: „Alles fließt …“,

German

Manufacturing

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