Accelebrate teaches on-site Machine Learning training courses at client sites throughout the St. Louis area and other Missouri sites.
Machine Learning, a part of artificial intelligence, automates the building of analytical models. Computer systems use algorithms and models, rather than explicit programming, to infer patterns and predict outcomes.
Accelebrate's Machine Learning training courses teach your team the basics of how to build machine learning solutions using the latest technologies, including Python, TensorFlow, Keras, and the wide array of tools available in the AWS cloud.
In St. Louis and elsewhere in Missouri, we have trained for:
Here is feedback from past students in Missouri:
I did alot of research before bringing Accelebrate in for Tomcat Training. There was no one else I could find that had any experience with a Tomcat Environment of our scale. This training was excellent.- Chris F, Monsanto, St. Louis, MO
Accelebrate offered us a course designed to meet our department's needs in designing elearning software.- Anonymous, Tech Electronics, St. Louis, MO
The instructor made me feel comfortable with learning this software package and wanting to do more with SSRS.- David J, Scholastic Inc., Jefferson City, MO
Relevant training; no useless topics that create disinterest/boredem.- Anonymous, Scholastic Inc., Jefferson City, MO
The training gave me both a theoretical grounding and some practical tips and tricks for real world application.- David V, The Boeing Company, Hazelwood, MO
Read our blog article about Deep Learning - The Chicken or the Beef? Why Everyone Loves Neural Networks.
To learn more about Machine Learning with Python, watch our 1-hr pre-recorded Webinar:
Accelebrate’s training classes are available for private groups of 3 or more people at your site or online anywhere worldwide.
Don't settle for a "one size fits all" public class! Have Accelebrate deliver exactly the training you want, privately at your site or online, for less than the cost of a public class.
For pricing and to learn more, please contact us.Contact Us Train For Us
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