Blog Archives

The myth that AI or Cognitive Analytics will replace data scientists: There is no easy button

May 22, 2018
By
The myth that AI or Cognitive Analytics will replace data scientists: There is no easy button

First, let me say I would love to have an “easy button” for predictive analytics. Unfortunately, predictive analytics is hard work that requires deep subject matter expertise in both the business problem and data science.  I’m not trying to be provocative with this post.  I just want to share my viewpoint over many year of … Continue reading "The...

Read more »

Confessions of a Data Scientist: Why I quit social media and still cut my own grass

May 5, 2018
By
Confessions of a Data Scientist: Why I quit social media and still cut my own grass

I hate to have to read a long blog post before I get to the payoff.  So here is mine: Social media fosters a short attention span by triggering a dopamine (reward) response in our brains.  Innovation in Data Science (and many other technical fields) requires deep thought.  Mindless tasks like mowing the grass allows … Continue reading "Confessions...

Read more »

MICAD: A new algorithm/R package for anomaly detection

July 14, 2016
By
MICAD: A new algorithm/R package for anomaly detection

Overview Anomaly detection algorithms are core to many fraud and security applications/business solutions.  Identifying cases where specific values are outside norms can be useful in outlier detection (as a predicate to predictive modeling) and to identify cases of interest when labeled data is not available for supervised learning models.  For example, an insurance company might … Continue reading "MICAD:...

Read more »

Search R-bloggers


Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)