Advanced Analytics and Machine Learning

Next Training Dates: November 19-21, 2024

Training Location:

The University of Tennessee
Center for Renewable Carbon
2506 Jacob Drive
Knoxville, TN 37996-4570

The ‘Advanced Analytics and Machine Learning’ course will enhance the students’ knowledge of advanced analytical methods and machine learning techniques for process and product optimization.  The modeling techniques taught in the course will greatly improve the students’ knowledge of modern concepts. The course is taught in two separate 40-hour sessions in a relaxed classroom setting.  Students are required to bring a laptop with either JMP or Minitab software preloaded on the laptop.  Key concepts taught are: Least Squares Regression; Logistic Regression; Multinomial Regression; Regression Trees; and Machine Learning Algorithms (Random Forests, Boosted Trees, Bayesian Additive Regression Trees, Multivariate Adaptive Regression Trees).  The UT School of Natural Resources offers this program to maintain a strength of providing leading practical education for the bio-based products industry. This course is offered in an ‘in-person’ only format

Additional Information:

Cost: — $4,250 (includes lodging, food, local transport, books, materials & fees for both sessions)

Register: Register Online. NOTE: This course is limited to 8 candidates.

Payment: Pay Online by Credit Card  (invoicing is also payment option.)

CEU Credits: The University of Tennessee, Division of Outreach & Continuing Education will award 4.0 CEU credits to each participant.
The course can also be taken for 3 undergraduate and 3 graduate credit hours at UT for an additional tuition fee.

NOTE: This course requires some prior knowledge of elementary statistical methods. This is a software-based course using JMP 15 and Minitab 19. Each candidate will be provided a PC or laptop, but are encouraged to bring their own laptop to the training session.

Questions: For more information contact Tim Young at or call 865.946.1119.