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Introduction To Machine Learning

May 6, 2023 @ 1:30 pmJune 23, 2023 @ 4:30 pm

May 6 through June 24, 2023. Saturdays 1:30-4:30pm.  

Register now, last call as its less than 2 weeks away until start date.

The IEEE North Jersey Section Communications Society (ComSoc chapter) is offering a course entitled “INTRODUCTION TO MACHINE LEARNING”. As more  and more organizations make a push for data-driven decisions, it is important to know how to extract value from the information available.  This course will provide practical experience with these techniques so students can be productive with computational approach to using modern tools for analyzing data.

This course is an introduction to statistical techniques for machine learning and data mining, assuming basic background knowledge of python programming and basic math.  It emphasizes mathematical methods and computer applications related to automated learning for prediction, classification, knowledge discovery, and forecasting in modern data science. Special emphasis will be given to the collection, mining, and analysis of large data sets.

Statistical software (Python, Scikit-learn) will be used throughout the course for the exploration of different learning algorithms and for the creation of appropriate graphics for analysis. Applications include recommendation systems, predictive customer models, text mining, and sentiment analysis.

The IEEE North Jersey Section’s Communications Society Chapter can arrange for providing IEEE Certificate of Completion (free) and CEUs – Continuing Education Units (for a $5 charge) upon completion of the course.  Course prices: $150 for Undergrad/Grad/Life/ComSoc members, $200 for IEEE members, $300 for non-IEEE members

Details

Start:
May 6, 2023 @ 1:30 pm
End:
June 23, 2023 @ 4:30 pm
Event Tags:
Website:
https://events.vtools.ieee.org/m/355844
Region: Region 1 (Northeastern US)
Affiliated Group Name: North Jersey Section Chapter,COM 19

Other

Region
Region 1 (Northeastern US)
Affiliated Group Name
North Jersey Section Chapter,COM 19