
I know, that is pretty confusing. What we have, however, is a distorted, all-over-the-place, inadequate, confusing, and too broad a definition of “data scientist”. I do not know where we went wrong, […]
Jeffrey Strickland, Ph.D., is the Author of “Predictive Analytics Using R” and a Senior Analytics Scientist with Clarity Solution Group. He has performed predictive modeling, simulation and analysis for the Department of Defense, NASA, the Missile Defense Agency, and the Financial and Insurance Industries for over 20 years. Jeff is a Certified Modeling and Simulation professional (CMSP) and an Associate Systems Engineering Professional. He has published nearly 200 blogs on LinkedIn, is also a frequently invited guest speaker and the author of 20 books including:
•Operations Research using Open-Source Tools
•Discrete Event simulation using ExtendSim
•Crime Analysis and Mapping
•Missile Flight Simulation
•Mathematical Modeling of Warfare and Combat Phenomenon
•Predictive Modeling and Analytics
•Using Math to Defeat the Enemy
•Verification and Validation for Modeling and Simulation
•Simulation Conceptual Modeling
•System Engineering Process and Practices
•Weird Scientist: the Creators of Quantum Physics
•Albert Einstein: No one expected me to lay a golden eggs
•The Men of Manhattan: the Creators of the Nuclear Era
•Fundamentals of Combat Modeling
•LinkedIn Memoirs
•Quantum Phaith
•Dear Mister President
•Handbook of Handguns
•Knights of the Cross: The True Story of the Knights Templar
I know, that is pretty confusing. What we have, however, is a distorted, all-over-the-place, inadequate, confusing, and too broad a definition of “data scientist”. I do not know where we went wrong, […]
Headlines “Big-Data Computing: Creating Revolutionary Breakthroughs in Commerce, Science and Society.” — Randal E. Bryant, Randy H. Katz, and Edward D. Lazowska (Dec 2008) “Big data: The next frontier for innovation, competition, […]
The Algorithm K-means (MacQueen, 1967) is one of the simplest unsupervised learning algorithms that solve the well-known clustering problem. It is a method of vector quantization, originally from signal processing, that is […]
Hey, we no longer need statistics! Cancel all college and university statistics programs…fire all the statistics faculty…shut down SAS…stop wasting time on R and Python…the end has come…there is a new beginning…ALL […]
Many are writing articles about the skills required to be a data scientist. I disagree with 97.3% of them. Before you can be a data scientist, you must qualify to be a […]
The intent of this article is not to tell you everything you wanted to know about artificial neural networks (ANN) and were afraid to ask. For that you’ll have to ask someone […]
Table of Contents Doctoral Programs Masters Programs Graduate Certificate Program Online Programs Online Courses (Free) Online Courses (for a fee) Many people ask me where they can find graduate-level courses and programs […]
Partial Results of the 2011 Survey Copyright © 2011 Rexer Analytics The following is a excerpt from 5th Annual Survey (2011) conducted by Rexer Analytics. This is a partial list of insights […]
Linear Discriminant Analysis The purpose of principal component analysis is to find the best low-dimensional representation of the variation in a multivariate data set. For example, in the wine data set, we […]
Principal Component Analysis The purpose of principal component analysis is to find the best low-dimensional representation of the variation in a multivariate data set. For example, in the case of the wine […]