Artificial Intelligence and IoT: Naive Bayes is an IoT training course published by the YoDM Academy. This training course is completely project-oriented and during the course, theoretical and practical topics related to the design and construction of IoT-based systems and artificial intelligence will be explained.
The simple Bayesian algorithm (Naïve Bayes) is one of the most widely used algorithms for the design and development of AIoT systems, which will be taught in great detail in this course.
This course consists of three separate sections and in each of these sections, respectively, manual solving examples of simple Bayes classifier, implementation of zero to one hundred simple Bayes algorithms with C and Python programming languages, and development of AIoT systems will be offered with a simple Bayesian and Arduino classifier.
What you will learn in Artificial Intelligence and IoT: Naive Bayes:
- Naive Bayes classifier
- Manually solve examples and problems of Bayesian categorizer
- Implement zero to one hundred simple Bayesian algorithms with C and Python programming languages
- Development of AIoT systems with simple Bayesian classification and Arduino
Instructor: Erwin Ouyang
Level: Introductory to Advanced
Number of Courses: 40
Duration: 1 hour and 43 minutes
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Basic knowledge of Artificial Intelligence and IoT
Having some background in electronics and programming
After Extract, watch with your favorite Player.
Download Part 1 – 1 GB
Download Section 2 – 12 MB
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