
The following is an excerpt from Predictive Analytics using R, Copyright 2015 by Jeffrey Strickland In machine learning, Naïve Bayes classifiers are a family of simple probabilistic classifiers based on applying Bayes’ […]
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
The following is an excerpt from Predictive Analytics using R, Copyright 2015 by Jeffrey Strickland In machine learning, Naïve Bayes classifiers are a family of simple probabilistic classifiers based on applying Bayes’ […]
Data Mining Generally, data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information. It is sometimes used synonymously with […]
Here is an actual LinkedIn sponsor ad: “In just 12 weeks, you’ll learn the tools, techniques, and fundamental concepts you need to know to make an impact as a data scientist. During […]
I am writing a series of blog posts based on a paper from a colleague, Andreas Tolk. Andreas is presenting a paper entitled, “The Next Generation of Modeling & Simulation: Integrating Big […]
I write a good bit of content about using open-source tools for analytics and operations research. However, my workhorse happens to be SAS. Actually, I use SAS Enterprise Guide (EG) and SAS […]
To effectively communicate, we must realize that we are all different in the way we perceive the world and use this understanding as a guide to our communication with others. —Anthony Robbins Words […]
Predictive modeling (#PredictiveAnalytics) does not lie solely in the domain of Big Data Analytics or Data Science. I am sure that there are a few “data scientists” who think they invented predictive […]
Be prepared to Wrangle – When dealing with “big data” (#bigdata), about 2/3 of you project time is spent getting access to the data, getting the right data, preprocessing the data, and […]
Define the problem – Defining the problem is necessary. Defining the “right” problem is absolutely critical, otherwise you’re just wasting everyone’s time. However, the customers you are working for may not know […]
Several weeks ago I posted an article called, What is Predictive Analytics, describing what it is. In the present article, I want to talk about the skills and tools that one should […]