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All Blog Posts Tagged 'prediction' (12)

Bringing Big Data to Big Macs: Lessons from McDonald’s Successful Adoption of Data Science for Personalized Marketing

Background: Civis began a data technology partnership with McDonald’s North America Marketing and Data Science teams in late 2017, and — after a year and a half of keeping our heads down — we jointly presented some of our key learnings recently at Advertising Week in New York.…

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Added by Civis Analytics on March 6, 2019 at 8:00am — No Comments

Probabilistic Forecasting: Learning Uncertainty

The majority of industry and academic numeric predictive projects deal with deterministic or point forecasts of expected values of a random variable given some conditional information. In some cases, these predictions are enough for decision making. However, these predictions don’t say much about the uncertainty of your underlying stochastic process. A common desire of all data scientists is to make predictions for an uncertain future. Clearly then, forecasts should…

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Added by Kostas Hatalis on March 15, 2018 at 12:00pm — No Comments

6 Predictions about Data Science, Machine Learning, and AI for 2018

Summary:  Here are our 6 predictions for data science, machine learning, and AI for 2018.  Some are fast track and potentially disruptive, some take the hype off over blown claims and set realistic expectations for the coming year.

 

It’s that time of year again when we do a look back in order to offer a look forward.  What…

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Added by William Vorhies on December 12, 2017 at 9:29am — 6 Comments

Astrology, Homicide Cases, and Everything Else

The “three wise men” in the story of the nativity are believed to be Magi or Zoroastrians.  As the story goes, these three wise men followed the Star of Bethlehem in search for the messiah.  For the most part, the Zoroastrians supported the one-god concept - and they also believed in a messiah.  It made sense for them - sometimes regarded as the original astrologers - to use their special talents to seek out the baby Jesus.  It makes sense purely from a narrative standpoint; although to me…

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Added by Don Philip Faithful on November 26, 2017 at 8:00am — 3 Comments

Searching and Smelling by Objects to Find Profiles and Settings

A person will ordinarily search the contents of a database using matching keywords and tags.  Sophisticated databases might allow for filtering:  for example using NOT, AND, OR on a number of keyword strings such as both titles and product descriptions.  It is not normally possible to submit, say, a personality profile to a database - or a personality profile and a setting.  Searching for “serial murders subway terminals” might lead to event information about precisely this, apparent serial…

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Added by Don Philip Faithful on October 27, 2017 at 10:00am — No Comments

Currency Data To Support My Prediction

Download Data : currency_data.csv

The…

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Added by Jeefri A. Moka on October 5, 2017 at 8:01pm — No Comments

The E-Dimension: Why Machine Learning Doesn’t Work Well for Some Problems?

Why Machine Learning Doesn’t Work Well for Some Problems?

Shahab Sheikh-Bahaei, Ph.D.*

Principal Data Scientist

Intertrust Technologies.

Introduction

Machine Learning (ML) is closely related to computational statistics which focuses on prediction-making through the use of computers. ML is a modern approach to an old problem:  predictive inference. It makes an inference from “feature” space to “outcome/target” space.…

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Added by Shahab Sheikh-Bahaei on July 6, 2017 at 4:30pm — No Comments

Gaining the Context from the Deconstruction of Metrics

I find myself habitually using the term "metrics." When I first started blogging, I normally used this term only in reference to performance metrics. These are not ordinary "readings" but rather criteria-driven amounts - the criteria being performance. Over the years I have come to recognize that data-gathering is normally premised on some type of criteria. When compiling revenue data, it should be noted that analysts are seeking out data pertaining to revenues. The quest is predefined. The…

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Added by Don Philip Faithful on January 7, 2017 at 7:02am — No Comments

Risk as a Narrative Construct



I had some magical moments in my life. Perhaps the most magical was the summer I went to work wearing shorts and running shoes. Captain C. said to me, as I sat in our shared office, “If you want to work during the weekend, you can borrow the keys to the building.” It didn’t seem like a big deal at the time. I had already borrowed a military vehicle that, as per Captain C., I could park anywhere in Canada without receiving a parking ticket. So I borrowed the keys to the building. I went…

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Added by Don Philip Faithful on December 25, 2016 at 8:00am — 2 Comments

Melbourne-University AES-MathWorks-NIH Seizure Prediction Challenge

After much anticipation the Melbourne-University AES-MathWorks-NIH Seizure Prediction Challenge has launched on Kaggle.com!

 

Enter for your chance to win part of the US$20,000 prize pool and test your data science skills against the one-of-a-kind long-term human intracranial…

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Added by Levin Kuhlmann on September 8, 2016 at 8:00pm — No Comments

How Data Science is influencing Buyer Behavior

The modern consumers have changed. With the advent of internet, and easy access of it, finding what they are looking for has become easier. Customers nowadays perform a lot of research before they purchase a product. They now expect to receive personalized service customized to fit their preferences, which also keeps continuously changing.  Converting a customer successfully requires a business know a lot about their buying behavior,…

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Added by Sameer Dhanrajani on July 10, 2015 at 2:37am — No Comments

How to Analyze Your Predictable Data: Anomaly Detection

There is…
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Added by John Geer on May 6, 2015 at 3:30am — No Comments

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