Description
Artificial Intelligence and IoT: Naive Bayes is an IoT course published by Udemy Academy. This training is completely project oriented and during the course theoretical and practical topics related to the design and construction of systems based on IoT and artificial intelligence will be explained. Simple Bayesian Algorithm (Naïve Bayes) is one of the most used algorithms for the design and development of AIoT systems, which will be taught in detail in this course. This course consists of three distinct sections and in each of these sections, respectively, examples of manual solution of simple Bayes classifier, implementation of zero to hundred simple Bayes algorithms with C and Python programming languages and systems development AIoT 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 Bayesian Categorizer examples and problems
- 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
Editor: Udemy
Instructors: Erwin Ouyang
French language
Level: Introductory to Advanced
Number of lessons: 40
Duration: 1 hour and 43 minutes
course topics
Artificial intelligence and IoT: prerequisites Naive Bayes
Basic knowledge of artificial intelligence and IoT
Have some experience in electronics and programming
Pictures
Artificial Intelligence and IoT: Naive Bayes introductory video
installation guide
After the clip, watch with your favorite reader.
english subtitles
Quality: 720p
Download links
File password(s): free download software
size
1 GB