Udemy – Artificial Intelligence and IoT: Naive Bayes 2021-2
Udemy – Artificial Intelligence and IoT: Naive Bayes 2021-2 Downloadly IRSpace
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Artificial Intelligence and IoT: Naive Bayes is an IoT training course published by the Udemy 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 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
Course specifications
Publisher: Udemy
Instructors: Erwin Ouyang
Language: English
Level: Introductory to Advanced
Number of Lessons: 40
Duration: 1 hours and 43 minutes
Course topics
Artificial Intelligence and IoT: Naive Bayes Prerequisites
Basic knowledge of Artificial Intelligence and IoT
Having some background in electronics and programming
Pictures
Artificial Intelligence and IoT: Naive Bayes Introduction Video
Installation guide
After Extract, watch with your favorite Player.
English subtitle
Quality: 720p
Download Links
Size
1 GB
