Description
Artificial Intelligence and IoT: Naive Bayes is an artificial intelligence training course in the Internet of Things (AIoT) published by Yudemy Academy. This training course is completely project-oriented and during the course, theoretical and practical topics related to the design and construction of systems based on the Internet of Things and artificial intelligence will be explained. Naïve Bayes algorithm is one of the most used algorithms for designing and developing AIoT systems, which will be taught in detail in this course. This training course is divided into three separate parts, and in each of these parts, manual solution of simple Bayes classifier examples (Naive Bayes classifier), implementation of zero to hundred simple Bayes algorithm with C and Python programming languages and development of AIoT systems with simple Bayes classifier and Arduino will be presented.
What you will learn in Artificial Intelligence and IoT: Naive Bayes course:
- Simple Bayes classifier (Naive Bayes classifier)
- Manually solving simple Bayes classifier examples and problems
- Implementation of 0 to 100 simple Bayes algorithm with C and Python programming languages
- Development of AIoT systems with simple biz classifier and Arduino
Course details
Publisher: Yudmi
teacher: Erwin Ouyang
English language
Training level: introductory to advanced
Number of courses: 40
Training duration: 1 hour and 43 minutes
Course headings
Course prerequisites
Basic knowledge of Artificial Intelligence and IoT
Having some background in electronics and programming
Course images
Artificial Intelligence and IoT: Naive Bayes course introduction video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
1 GB
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