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Jim Harris considers whether we can save private data in the age of big data.
4차 산업혁명은 전 세계 산업 구조는 물론 교육 환경에도 큰 영향을 미치고 있습니다. 지난 몇 년간 빅데이터, 사물인터넷(IoT), 인공지능(AI) 등 산업혁명을 이끄는 기술을 다루기 위해 필수적인 STEM(과학, 기술, 공학, 수학) 분야 교육에 대한 수요과 공급이 증가했는데요. 이처럼 STEM 교육에 대한 관심이 높아지면서 드러난 명암이 있습니다. 전 세계적으로 STEM 분야의 여성 비율은
Beginning a new school year can be hard for little ones. Whether it is being dropped off the first day of preschool, starting kindergarten, going to a new school or getting a new teacher, young children can experience stress. A lot of times this stress presents itself as separation anxiety – not
SAS Viyaでは購入前に使い勝手を試していただくため、無償使用版を提供しています。 https://www.sas.com/ja_jp/software/viya.html#preview もう試していただいた方もいらっしゃるかもしれませんが、SAS StudioやJupyter Notebook、Visual AnalyticsからSAS Viyaを操作して、データマイニングや機械学習を便利に試していただくことが可能です。 この無償使用環境では動作確認済みのデモプログラムを提供していますので、機械学習やプログラミングに不慣れでも迷うことはありません。 しかし機械学習を実業務で使い始めようとすると、どのプロシージャやメソッドを使えば良いのか、わからなくなることが多々あります。 SAS Viyaでは機械学習ユーザに不足ないよう、多種多様なプロシージャを提供していますが、プロシージャが増えるとどの場面でどれを使うんだっけ？と迷ってしまいます。 そこで、SAS Viyaのチートシートを作ってみました。 このチートシートを使えば、用途にあわせて必要なプロシージャを選択していくことができます。 SAS Viyaが提供するプロシージャから重要なものを掲載しています。 SAS ViyaはSAS PROCとActionsetという2種類のプログラミング仕様があります。 チートシートもPROC用とActionset用で2種類作りました。 PDF版は以下にありますので、ぜひご参照ください。 viya_cheat_sheet_20170721_jp
Recently, while reading up on Wilkinson and Cleveland Dot plots, I saw this excellent article by Xan Gregg on the topic. I also saw some interesting examples of Lollipop Charts, kind of a dot plot with statistics along with a drop line, maybe more suitable for sparse data. I thought
In the first half of 2017 and in my only domain – which is marketing – an announcement set the tone for a major change. How not to be stunned when “Coca-Cola ditches global CMO role in leadership shake-up”? If there is only one product you can find anywhere on
For a time series { y1, y2, ..., yN }, the difference operator computes the difference between two observations. The kth-order difference is the series { yk+1 - y1, ..., yN - yN-k }. In SAS, the DIF function in the DATA step computes differences between observations. The DIF function
SAS® offers several ways that you can find the top n% and bottom n% of data values based on a numeric variable. The RANK procedure with the GROUPS= option is one method. Another method is The UNIVARIATE procedure with the PCTLPTS= option. Because there are several ways to perform this
I've been a SAS programmer for 26 years and counting. I started with the Display Management System (DMS) interface into SAS, which today is referred to as the window environment (and yes, I have used the command line interface as well, which is still available today). DMS consisted of three initial
SAS is hosting the premier analytics conference in the world September 18-20 in Washington DC, and supplementing the event with discounted training and certification exams at SAS Analytics Experience 2017. These offerings will be held before and after the event. As at other SAS events, we will be offering certification exams at
Employment - that's been a hot topic here in the US lately. Many of the manufacturing jobs we had in past decades are gone now, and it would be great if there was a crystal ball to predict which jobs might be at risk of disappearing in the future. The
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
Para ofrecer un servicio verdaderamente diferencial, que concluya en una experiencia del cliente satisfactoria y genere interacciones constantes en los canales de venta, es necesario unir la mayor cantidad de piezas de información sobre el comportamiento de los compradores, actuales o potenciales, y con base en ellas construir puentes hacia
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
There’s nothing like a funny race sign to keep you entertained during a race. Post chuckle, this one got me thinking. It’s true, making a lifestyle change - like adding 15-20 hours a week to train for long distance triathlon – definitely rocks the relationship boat. In our 8 years