Any of you who are even slightly into politics, or have followed any news lately, have probably seen something about the DNA test Elizabeth Warren took to prove/disprove her Native American ancestry. The test indicates she might have had a Native American ancestor 6 to 10 generations ago. That's a
There are four widely recognized styles of machine learning: supervised, unsupervised, semi-supervised and reinforcement learning. These styles have been discussed in great depth in the literature and are included in most introductory lectures on machine learning algorithms. As a recap, the table below summarizes these styles. For a comprehensive mapping
Have you noticed the commercials about medication for bone loss? Maybe I’m noticing more as I am in my 50s. Many don’t think a great deal about bone loss until something breaks! I know this was the case with a relative. After breaking her leg, she learned she had osteoporosis.
What can you learn about wildfires when you provide a room full of analysts with 7 years of US wildfire data and the tools they need to analyze it? A lot. At a recent data dive, we split 35 data scientists into 9 teams, provided multiple data sets containing information
In a recent article about nonlinear least squares, I wrote, "you can often fit one model and use the ESTIMATE statement to estimate the parameters in a different parameterization." This article expands on that statement. It shows how to fit a model for one set of parameters and use the
Deep learning has taken off because organizations of all sizes are capturing a greater variety of data and can mine bigger data, including unstructured data. It’s not just large companies like Amazon, SAS and Google that have access to big data. It’s everywhere. Deep learning needs big data, and now
What if you could automatically detect supply chain anomalies as they happen, or even predict them in advance? You'd be able to take timely corrective action and help maximize revenue, margins, customer satisfaction and shareholder value. There's no question: Supply chain planning and execution is complex. From design and sourcing, to
"Imagine being told to part with a dear friend or part of your identity. Imagine being told to discard something that results in intense feelings of anxiety, sorrow, or guilt. That’s how it can feel to someone with hoarding issues. " Dr. Annette Perot is a licensed psychologist and has
Oh, networking. The buzzword of Ted Talks, academia, and career resources everywhere; networking is often touted as the golden ticket to progressing your career. The importance of networking can’t be overstated, but let’s be honest: networking can be, well, awkward. If you’re someone who feels uncomfortable, unsure or just plain
Think that the company has let up in the last two years? Think again.
There are several ways to use SAS to get the unique values for a data variable. In Base SAS, you can use the TABLES statement in PROC FREQ to generate a table of unique values (and the counts). You can also use the DISTINCT function in PROC SQL to get
Note: Today’s utility industry is in upheaval. All of the assumptions the business has run on have been turned on their heads. This post is the first in a three-part series looking at how analytics are helping utilities navigate this challenging landscape and find new opportunities for improvements in operations,
Here in the US, we recently had a new Supreme Court Justice appointed. This is a very important position, and judges usually serve until they retire or die. My buddy Rick gave me a heads-up that there was a table of all the past & present justices on Wikipedia, and
Smart retailers know that omnichannel customer experience isn't just about marketing anymore. It’s about bridging all your digital and physical channels to recognize customers wherever they are, collecting data and understanding the retail customer’s purchasing journey. By taking customer data, product data, and supply chain data - and applying predictive and prescriptive
SAS Press is changing to meet the needs of customers worldwide.
We hear a lot about data science nowadays, but do you ever wonder how it’s being used to help solve real-world problems? In my first post of this blog series, we heard why two students chose to pursue a STEM field and what appealed to them about data science. Today, we'll hear
By using a format, you can change the tick values and create values that range from 100 to 50 to 100 to display the probable outcome of a sporting event.
We North Carolinians frequently find ourselves in the paths of hurricanes. And, this year was no different. Much of our state is still recovering from Hurricane Florence with many residents still unable to return to their flooded or ravaged homes. Our hearts and prayers remain with our fellow NC families
This article shows how to use SAS to fit a growth curve to data. Growth curves model the evolution of a quantity over time. Examples include population growth, the height of a child, and the growth of a tumor cell. This article focuses on using PROC NLIN to estimate the
An abundance of data does not equal an abundance of wisdom. At the SAS Government Leadership Forum, leaders from federal, state and local agencies will discuss how analytics can bridge the gap between data and wisdom to make meaningful changes in how government operates. Analytics, however, is not just about
Deep learning (DL) is a subset of neural networks, which have been around since the 1960’s. Computing resources and the need for a lot of data during training were the crippling factor for neural networks. But with the growing availability of computing resources such as multi-core machines, graphics processing units
Focus on data governance, quality and storage if you want to do data management for analytics right.
The SAS INFILE statement can read multiple text files in a single DATA step. Use file name wildcards (like * and ?) and a special FILENAME= option to keep track of which records come from which files.
This Fall 2018 issue of Foresight, our 51st, opens with Fotios Petropoulos’s review of Paul Goodwin’s latest book, How to Profit from Your Software: A Best-Practice Guide for Sales Forecasters. Fotios notes that the author doesn’t single out any one software system, but keeps the discussion general and so applicable to many products.
I attended the Scottish Highland Games this past weekend ... nearby in Scotland County, North Carolina! They put on a great event, with kilt-wearing Scotsmen throwing things, bands playing bagpipes, kids dancing, and clans sharing their family history. And to get into the mood for this event, I decided to
Self-service BI applications make gaining insights and decision making faster. But they've also generated a greater need for governance, including understanding the data lifecycle. You can find out where your data comes from with SAS Lineage Viewer. The post tells you how.
The STYLEATTRS statement in PROC SGPLOT enables you to override colors, markers, line patterns, fill patterns, and axis break patterns in ODS styles, without requiring you to change the ODS style template.
Reading has been a part of who I am as far as I can remember. I loved listening to books as a curious child and enjoyed an audience when learning to read on my own. During grad school research, I often found myself curiously digging into one topic that led
This article compares several ways to find the elements that are common to multiple sets. I test which method is the fastest in the SAS/IML language. However, all algorithms are intrinsically fast, which raises an important question: when is it worth the time and effort to optimize an algorithm? The
Do you work with custom polygon maps in SAS Visual Analytics? Read about a few "gotchas" to help you troubleshoot some common issues you may encounter.
