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Advanced Analytics | Programming Tips

Ryan LolliOctober 26, 2017 0

Tip and tricks to promote CAS tables from session-scope to global-scope

When loading data into CAS using PROC CASUTIL, you have two choices on how the table can be loaded: session-scope or global-scope. This is controlled by the PROMOTE option in the PROC CASUTIL statement. Session-scope loaded proc casutil; load casdata="model_table.sas7bdat" incaslib="ryloll" outcaslib="otcaslib" casout="model_table”; run; Global-scope loaded proc casutil; load casdata="model_table.sas7bdat"

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Advanced Analytics | Machine Learning

SAS KoreaOctober 25, 2017 0

데이터 과학자가 뽑은 "머신러닝 알고리즘 개발 베스트 프랙티스 3탄"

현존 최고의 데이터 과학자들이 뽑은 머신러닝 알고리즘 개발 베스트 프랙티스! 그 대망의 마지막 시간입니다. 이전 블로그를 통해 다양한 유형의 모델을 결합하는 방법을 소개해드렸다면, 오늘은 다양한 유형의 데이터를 결합하고, 모델의 다양한 변수를 활용하는 방법에 대해 이야기하고자 합니다. 이전 시리즈를 놓치셨나요? 블로그 1탄, 블로그 2탄을 참고해주세요. 기본기 다지기 희귀한 이벤트 탐지하기 수많은 모델 결합하기 모델

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Advanced Analytics | Programming Tips | SAS Administrators

Phil WeissOctober 20, 2017 0

Top 12 Advantages of SAS Viya

There are many compelling reasons existing SAS users might want to start integrating SAS Viya into their SAS9 programs and applications. For me, it comes down to ease-of-use, speed, and faster time-to-value. With the ability to traverse the (necessarily iterative) analytics lifecycle faster than before, we are now able to generate

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Advanced Analytics | Analytics | Machine Learning

Künstliche Intelligenz

Andreas BecksOctober 19, 2017 0

Künstliche Intelligenz in der Versicherung: Wo steht Europa?

Wo steht eigentlich die europäische Versicherungswirtschaft in puncto Advanced Analytics, KI und Automatisierung? Erleben wir, dass gerade auch in der Assekuranz traditionelle Verfahren der Datenanalyse mit dem Begriff „maschinelles Lernen" überklebt werden? Oder ist die Branche hier schon deutlich weiter? Sind beispielsweise echte Chatbots wirklich schon allgegenwärtig? Aktuelle Einblicke gibt

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Advanced Analytics | Data Management

Nicolas RobertOctober 18, 2017 0

SAS Viya 3.2 Bridge for SAS Data Integration Studio 4.902 (on SAS 9.4M4) configuration steps

The goal of this article is to describe the steps needed to configure the bridge that allows SAS Data Integration 4.902, based on SAS 9.4M4, to load data directly into CAS on SAS Viya 3.2. Of course, SAS 9.4M5 simplifies this process, as a SAS/CONNECT communication will no longer be required, enabled

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Advanced Analytics | Machine Learning

Xin HuntOctober 17, 2017 0

Online learning: Machine learning’s secret for big data

In the field of machine learning, online learning refers to the collection of machine learning methods that learn from a sequence of data provided over time. In online learning, models update continuously as each data point arrives. You often hear online learning described as analyzing “data in motion,” because it

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Advanced Analytics | Analytics

Ed HughesOctober 16, 2017 0

SAS at the 2017 INFORMS Annual Meeting

SAS will be represented by more than 20 attendees at the INFORMS Annual Meeting at the George R. Brown Convention Center (GBCC) in Houston, Texas. Officially the conference runs from Sunday, Oct. 22 through Wednesday, Oct. 25, but our activities in Houston start even earlier. Technology Workshops on Saturday, October

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Advanced Analytics | Customer Intelligence

SAS KoreaOctober 12, 2017 0

알고리즘 기반의 분석적 마케팅 기여도(Algorithmic Marketing Attribution) 측정을 통한 360도 마케팅 인사이트

모바일 퍼스트(Mobile First)를 넘어선 모바일 온리(Mobile only) 시대입니다. 스마트폰이나 태블릿 PC로 언제 어디서나 온라인 쇼핑몰, 모바일 앱, 소셜 미디어 등 다양한 플랫폼을 통해 정보를 검색, 공유하고 제품을 구매할 수 있죠. 이처럼 기업이 고객과 만나는 접점은 그 어느 때보다 다양해지고 있으며, 그만큼 고객의 요구와 기대의 변화에 귀를 기울이고 재빠르게 대응해야 할 필요성이

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Advanced Analytics | Data for Good | Data Visualization

Kelci MiclausOctober 9, 2017 0

The Traveling Salesman Traverses the Plant Genome

I sit here fascinated, watching a world population clock. According to the US Census, a baby is born and a person dies every 7 and 12 seconds, respectively, in the United States. In 1950 our world had about 2.5 billion people; currently our population is over 7.3 billion. Estimates predict

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Advanced Analytics | Data Visualization

Jeanne (Hyunjin) ByunSeptember 28, 2017 0

인공지능(AI) 활용 엔터프라이즈 분석 플랫폼 ‘SAS 바이야(SAS Viya)’

분석이 매 순간, 데이터가 존재하는 모든 곳에 적용된다면 어떤 일들이 가능해질까요? 오늘날 우리는 데이터가 사회와 경제를 움직이는 ‘데이터 이코노미’ 시대에 살고 있습니다. IDC는 오는 2025년 전 세계 데이터 양이 현재의 10배에 달하는 163제타바이트(ZB)에 이를 것으로 전망했는데요. 그러나 데이터는 그 자체만으로 유용하지 않습니다. 모든 데이터는 대기 시간과 유효 기간의 속성을 지니기

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Advanced Analytics | Analytics | SAS Events

Larry LaRussoSeptember 27, 2017 0

SAS Viya: What’s in it for me? The user.

If you’re in the field of analytics, you’ve undoubtedly heard about SAS Viya. Designed for all analytic professionals, regardless of skills or experience, SAS Viya seamlessly handles big, complex, diverse data. It also supports any programming language, allowing analysts to choose the tool that makes them most productive. Recently a colleague

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Advanced Analytics | Machine Learning

Charlie ChaseSeptember 27, 2017 0

Is demand sensing and shaping a key component of your company’s digital supply chain transformation?

Depending on who you speak with you will get varying definitions and opinions regarding demand sensing and shaping from sensing short-range replenishment based on sales orders to manual blending of point-of-sales (POS) data and shipments. Most companies think that they are sensing demand when in fact they are

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Manufacturing | Retail

Advanced Analytics | Machine Learning

Xin HuntSeptember 25, 2017 0

Machine learning concepts: styles of machine learning

This is the first in a series of posts about machine learning concepts, where we'll cover everything from learning styles to new dimensions in machine learning research. What makes machine learning so successful? The answer lies in the core concept of machine learning: a machine can learn from examples and

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Advanced Analytics | Analytics | Data Visualization

Thomas Bodenmüller-DodekSeptember 25, 2017 0

Blogparade: MyParadise Found – Finden Sie Ihr persönliches Paradies!

Blogparade startet: Vor Kurzem wurde ja bereits der analytisch beste Ort der Welt gefunden und gekürt. Dazu hat SAS aus fast 150.000 Orten in rund 200 Ländern jede Menge Daten gesammelt und mit modernsten Machine-Learning-Verfahren ausgewertet. Rund 100 sogenannte Prädiktoren, also mögliche Einflussgrößen auf „paradiesische“ Verhältnisse, spuckten West Perth aus

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Advanced Analytics | Machine Learning

SAS KoreaSeptember 22, 2017 0

데이터 과학자가 뽑은 "머신러닝 알고리즘 개발 베스트 프랙티스 2탄"

현존 최고의 데이터 과학자들이 뽑은 머신러닝 알고리즘 개발 베스트 프랙티스! 그 두 번째 시간입니다. 시리즈를 처음 접하시는 경우 블로그 1탄을 참고해주세요. 기본기 다지기 희귀한 이벤트 탐지하기 수많은 모델 결합하기 모델 적용하기 국소 최적해에 빠지는 것을 방지하기 위해 모델 오토튜닝하기 시간 효과(temporal effect) 관리하기 '일반화' 이해하기 Chapter 5. 국소 최적해에 빠지는 것을 방지하기

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Advanced Analytics | Analytics | Data Management

Analítica, el factor estrella en la ecuación de transformación del negocio bancario

Sandra Hernandez

Sandra HernandezSeptember 21, 2017 0

Analítica, el factor estrella en la ecuación de transformación del negocio bancario

84412925 - business team investment trading do this deal on a stock exchange. people working in the office. Caminar por la calle y que su celular le dé una notificación de alguna promoción especial de ese almacén que le gusta, que está solo a algunos pasos de usted y en

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Advanced Analytics | Analytics | Artificial Intelligence | Customer Intelligence | Machine Learning

Jos van DongenSeptember 21, 2017 0

Dutch Data Science, part 2: Veneficus

The second part of this series takes us to Rotterdam, main port of Europe and the residence of Veneficus, a 10-year young and ambitious boutique analytics firm. They have already scored accolades in the Dutch FD Gazellen Award for fast growing companies. In addition, they also won a ‘Best Employer’

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Advanced Analytics | Analytics | Data Management

Analítica, el factor estrella en la ecuación de transformación del negocio bancario

Sandra Hernandez

Sandra HernandezSeptember 21, 2017 0

Analítica, el factor estrella en la ecuación de transformación del negocio bancario

Caminar por la calle y que su celular le dé una notificación de alguna promoción especial de ese almacén que le gusta, que está solo a algunos pasos de usted y en el que utilizando la tarjeta de crédito de su banco puede comprar a cero interés, no es un

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Advanced Analytics | Artificial Intelligence | Machine Learning

Wayne ThompsonSeptember 18, 2017 0

Is deep learning the latest fad?

In my 25 years at SAS, I‘ve noticed the continued use of important algorithms, such as logistic regression and decision trees, which I’m sure will continue to be steady staples for data scientists. After all, they’re easy-to-use, interpretable algorithms. However, they’re not always the most accurate and stable classifiers. To

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Advanced Analytics | Analytics | Internet of Things

Event Stream Processing IoT

Cornelius KimmerSeptember 13, 2017 0

Edge Analytics - So kommt Analytics in den Truck (Teil 3) HEUTE: Konfiguration der Software

ODER: Wie erstelle ich ein Edge Analytics Case auf Basis von SAS ESP, SAS Streamviewer und eines Modelltrucks? Das beschreibe ich in Teil 3. Rückblick: Im ersten Teil wurden die Idee und der Inhalt der SAS Streaming-Analytics-Demo beschrieben. Im zweiten Teil sind die einzelnen technischen Komponenten sowie die Software aufgelistet. Im

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Advanced Analytics | Learn SAS | Programming Tips

Simulate clustered data from a Gaussian mixture distribution

Rick WicklinSeptember 13, 2017 0

Simulate multivariate clusters in SAS

This article shows how to simulate data from a mixture of multivariate normal distributions, which is also called a Gaussian mixture. You can use this simulation to generate clustered data. The adjacent graph shows three clusters, each simulated from a four-dimensional normal distribution. Each cluster has its own within-cluster covariance,

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Advanced Analytics | Machine Learning

Wayne ThompsonSeptember 12, 2017 0

Machine learning best practices: Add features to training data

This is the final post in my series of machine learning best practices. If you missed the earlier posts, start at the beginning, or read the whole series by clicking on the image to the right. While post four in the series was about combining different types of models, this

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Advanced Analytics | Analytics

GastbeitragSeptember 11, 2017 0

6 Gründe warum für Reisebloggerin Kerstin Beck das australische Perth das Paradies ist

Haben Sie sich schon einmal gefragt, wo das Paradies liegt? Wo sich der Ort mit der größten Lebensqualität der Welt befindet? Auf Reisen entdecken wir ab und zu Orte, von denen wir denken, dass sie dem Paradies sehr nahe kommen. Aber ob sich diese Wahrnehmung auch ohne rosarote Urlaubsbrille mit

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Advanced Analytics | Machine Learning

Wayne ThompsonSeptember 5, 2017 0

Machine learning best practices: Understanding generalization

This is the seventh post in my series of machine best practices. Catch up by reading the first post or the whole series now. Generalization is the learned model’s ability to fit well to new, unseen data instead of the data it was trained on. Overfitting refers to a model that fits

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Advanced Analytics | Analytics | Artificial Intelligence | Customer Intelligence | Machine Learning

Jos van DongenSeptember 4, 2017 0

Dutch Data Science, part 1: GoDataDriven

From June 6 to 9 the first ever ‘Dutch Data Science Week’ took place in the Netherlands. The week consisted of 4 days in which 28 events took place in 6 different locations. During the week people could attend classes ranging from beginner to advanced levels, visit meetups, participate in

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Advanced Analytics | Programming Tips

Makoto Unemi (畝見真)September 4, 2017 0

SAS Viyaで線形回帰

SAS Viyaで線形回帰を行う方法を紹介します。言語はPythonを使います。 SAS Viyaで線形回帰を行う方法には大きく以下の手法が用意されています。多項回帰：　simpleアクションセットで提供。一般化線形回帰または一般線形回帰：　regressionアクションセットで提供。機械学習で回帰：　各種機械学習用のアクションセットで提供。今回は単純なサインカーブを利用して、上記3種類の回帰モデルを作ってみます。【サインカーブ】 -4≦x<4の範囲でサインカーブを作ります。普通に $$y = sin(x) $$を算出しても面白みがないので、乱数を加減して以下のようなデータを作りました。これをトレーニングデータとします。青い点線が $$y=sin(x)$$ の曲線、グレーの円は $$y=sin(x)$$ に乱数を加減したプロットです。グレーのプロットの中心を青い点線が通っていることがわかります。今回はグレーのプロットをトレーニングデータとして線形回帰を行います。グレーのプロットはだいぶ散らばって見えますが、回帰モデルとしては青い点線のように中心を通った曲線が描けるはずです。トレーニングデータのデータセット名は "sinx" とします。説明変数は "x"、ターゲット変数は "y" になります。各手法で生成したモデルで回帰を行うため、-4≦x<4 の範囲で0.01刻みで"x" の値をとった "rangex" というデータセットも用意します。まずはCASセッションを生成し、それぞれのデータをCASにアップロードします。 import swat host = "localhost" port = 5570 user = "cas" password = "p@ssw0rd"

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Advanced Analytics | Analytics

SAS KoreaSeptember 4, 2017 0

무료 플레이 게임 ‘월드 오브 탱크(World of Tanks)’ 분석으로 수십억 달러를 창출하다!

매일 전 세계 수백만 플레이어들이 가상의 전투에서 서로의 탱크를 무찌르기 위해 ‘월드 오브 탱크(World of Tanks)’에 접속합니다. 국내에서도 큰 인기를 끌고 있는 월드 오브 탱크는 벨라루스 게임 개발사인 워게이밍(Wargaming)의 온라인 MMO(대규모 다중 사용자) 슈팅 게임인데요. 등록된 온라인 사용자만 무려 1억1,000만명이 넘습니다. 워게이밍은 목표는 모든 레벨의 플레이어에게 멋진 경험을 제공하는 것으로, 부분 유료(free-to-play)

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Sports & Entertainment

Advanced Analytics

Rick WicklinAugust 30, 2017 0

The singular value decomposition and low-rank approximations

A previous article discussed the mathematical properties of the singular value decomposition (SVD) and showed how to use the SVD subroutine in SAS/IML software. This article uses the SVD to construct a low-rank approximation to an image. Applications include image compression and denoising an image. Construct a grayscale image The

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Advanced Analytics | Customer Intelligence | Machine Learning

Maarten OostenAugust 30, 2017 0

Bots, collusion and accountability in pricing

In the recent article, “Price-bots can collude against consumers,” the Economist discusses the consumer effects of prices set by price-bots. The article starts with an example of gasoline pricing strategies on Martha’s Vineyard. With a small number of gas stations on the island, the price-bots can cover all competitor prices frequently

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Energy & Utilities | Hospitality | Manufacturing | Retail

Advanced Analytics

Geometric interpretation of the singular value decomposition (SVD) as the product of a rotation/reflection, followed by a scaling, followed by another rotation/reflection.

Rick WicklinAugust 28, 2017 0

The singular value decomposition: A fundamental technique in multivariate data analysis

The singular value decomposition (SVD) could be called the "billion-dollar algorithm" since it provides the mathematical basis for many modern algorithms in data science, including text mining, recommender systems (think Netflix and Amazon), image processing, and classification problems. Although the SVD was mathematically discovered in the late 1800s, computers have

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