Analytics Lab at OU

Way to go ISE and DSA grads!!

Might be worth your time to check out!

Natural Language Processing Recipes: Best Practices and Examples - KDnuggets Here is an overview of another great natural language processing resource, this time from Microsoft, which demonstrates best practices and implementation guidelines for a variety of tasks and scenarios.

Just won a small grant to support COVID-19 machine learning modeling research over the next few months!

I hope everyone has a fun, safe New Year celebration and an amazing 2020!

Great article!

“For most practitioners of analytics, our aptitude and training is about numbers, equations and software – the hard skills. Not to put too fine a point on it, many of us identify as “geeks.” Few of us start out with substantial soft skills, the emotional intelligence to effectively engage with our clients – how to ask probing questions in a nonthreatening way, listen effectively, observe tacit body language, get inside the heads of our clients and learn how their organizations work. In short, we need to become “empaths.”

Fortunately for us geeks, it is possible to learn these soft skills once we realize how critical they are to our success and decide to put the effort. We can learn some of them from classes. They should become a much larger part of the analytics curriculum. But, to become truly effective, there is no substitute for working with clients on real projects being mentored by experienced practitioners.”

Want to make sure your data science projects succeed? Read this piece in ORMS Today for a road-map to best practice client engagement. http://bit.ly/2DTg15a

This position will support on-going efforts within the NIST-funded Center of Excellence for Risk-Based Community Resilience Planning and will join a large, vibrant team of interdisciplinary researchers from Civil Engineering, Systems Engineering, Economics, and Social Science from multiple Universities across the United States to enhance community resilience to natural hazards through modeling, optimization, and risk-informed decision making with respect to vital, large-scale, interdependent civil infrastructure and socio-economic systems.

More details: oklahomaanalytics.com/recruiting/postdoc-community-resilience

For all DSA students -- and those interested in data science, if you have not yet registered for the AI/ML Symposium at OU, make sure to do so --- AND ESPECIALLY make sure to register for the Predict-a-thon.

Dataiku is providing a tutorial on their analytics tools and helping to host the challenge. Form teams and get signed up!

http://ou.edu/coe/ai-ml/program/predict-a-thon

Tentative Schedule:
Sept. 25, 4-7pm: Dataiku Tutorial
Sept. 25, 7-8pm: Competition Presentation
Sept. 26, 12:01am: Competition Pause
Sept. 26, 5:30pm: Competition Continues
Sept. 26, 9pm: Competition Completion

Artificial Intelligence and Machine Learning at OU

New post from the analyticsLab@OU:

New Ph.D. student on the team

New Ph.D. student on the team - analytics lab @ OU Analytics Lab news -- a research lab at the University of Oklahoma

New post from the analyticsLab@OU:

Welcome to Fall 2019!

Welcome to Fall 2019! - analytics lab @ OU Analytics Lab news -- a research lab at the University of Oklahoma

15 Types of Regression you should know This article explains 15 types of regression techniques which are used for various data problems. It includes detailed theoretical and practical explanation of regression along with R code