Classbaze

Disclosure: when you buy through links on our site, we may earn an affiliate commission.

Artificial Intelligence and IoT: Naive Bayes

A project-based course to build an AIoT system from theory to prototype
3.7
☆☆☆☆☆ 3.7/5
(46 reviews)
7,174 students
Created by
Erwin Ouyang

8.1

Classbaze Grade®

8.5

Freshness

6.4

Popularity

8.8

Material

Detailed Analysis »

A project-based course to build an AIoT system from theory to prototype
Go to course »
Platform: Udemy
Price: check current price
Video: 1h 43m
Language: English
Next start: On Demand

Best Artificial Intelligence classes:

Skillshare_logo_2020
Best Artificial Intelligence classes on Skillshare »
Coursera Logo
Best Artificial Intelligence classes on Coursera »
Pluralsight Logo
BestArtificial Intelligence classes on PluralSight »
Udemy logo
Best Artificial Intelligence classes on Udemy »
linkedin
Best Artificial Intelligence classes on LinkedIn (Free trial) »

Classbaze Rating

Classbaze Grade®

8.1 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

8.5 / 10
This course was last updated on 2/2021.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

6.4 / 10
We analyzed factors such as the rating (3.7/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

8.8 / 10
Video Score: 7.8 / 10
The course includes 1h 43m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 5 hours 26 minutes of 212 Artificial Intelligence courses on Udemy.
Detail Score: 8.8 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

10 articles.
1 resources.
0 exercise.
0 test.

In this page

About this course

  The course will teach you this
  What you need to START the course
  Who can start this course?
General questions
  Coupons & Discounts
  Guarantees & money back
  Financial aid
Teacher
Classbaze hand picked recommendations

About the course

Sample codes are provided for every project in this course.
You will receive a certificate of completion when finishing this course.
There is also Udemy 30 Day Money Back Guarantee, if you are not satisfied with this course.

This course teaches you how to build an AIoT system from theory to prototype particularly using Naive Bayes algorithm. This course is divided into three main parts. In the first part, you will learn about Naive Bayes classifier examples by hand. In the second part, you will learn about how to implement Naive Bayes classifier from scratch in Python and C. In the third part, you will learn about how to build an AIoT system based on Naive Bayes classifier and Arduino.
This is a project-based course. The main goal is to show you the complete flow how to build AIoT from theory to prototype. The point is to apply the concepts that you will learn in this course to your own projects. At the end of this course, you will be able to combine various kinds of knowledge that you may have studied at university, such as Artificial Intelligence, Programming, and Embedded System, in order to build the complete prototypes.
So, click the course button and see you inside the course.

What can you learn from this course?

✓ Naive Bayes classifier examples by hand
✓ Implement Naive Bayes classifier from scratch in Python and C
✓ Implement Naive Bayes classifier on microcontrollers
✓ Build an AIoT system based on Naive Bayes classifier and Arduino

What you need to start the course?

• Basic knowledge of Artificial Intelligence and IoT
• Having some background in electronics and programming

Who is this course is made for?

• Anyone curious about AIoT
• Anyone who wants to build AIoT systems
• Anyone who wants to implement AI on microcontrollers
• Anyone who wants to implement Naive Bayes classifier from scratch in Python and C
• Anyone who wants to learn Naive Bayes classifier by hand

Are there coupons or discounts for Artificial Intelligence and IoT: Naive Bayes ? What is the current price?

The course costs $14.99. And currently there is a 82% discount on the original price of the course, which was $84.99. So you save $70 if you enroll the course now.
The average price is $18.0 of 212 Artificial Intelligence courses. So this course is 17% cheaper than the average Artificial Intelligence course on Udemy.

Will I be refunded if I'm not satisfied with the Artificial Intelligence and IoT: Naive Bayes course?

YES, Artificial Intelligence and IoT: Naive Bayes has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the Artificial Intelligence and IoT: Naive Bayes course, but there is a $70 discount from the original price ($84.99). So the current price is just $14.99.

Who will teach this course? Can I trust Erwin Ouyang?

Erwin Ouyang has created 4 courses that got 283 reviews which are generally positive. Erwin Ouyang has taught 8,926 students and received a 3.9 average review out of 283 reviews. Depending on the information available, we think that Erwin Ouyang is an instructor that you can trust.

Learn everything about

Erwin Ouyang

R&D Engineer, Researcher (8000+ students)
He is an enthusiast in Microcontroller and FPGA with over 8000+ students on Udemy.
He worked as an R&D Engineer. He developed firmware and software for digital nurse call system and door access control system with AVR ATmega and .NET framework. He developed software for interfacing between medical laboratory equipment and laboratory information system based on RS-232 and TCP/IP.
He received his MSc degree in Electrical Engineering in 2018 from ITB. He is currently a researcher at Microelectronics Center of ITB. His research interests are in IoT, wireless communication, blockchain, and machine learning.
He writes articles and tutorials in his blogs: klinikarduino[dot]github[dot]io.
Browse all courses by on Classbaze.
Erwin Ouyang's full profile and courses »
Go to class »

8.1

Classbaze Grade®

8.5

Freshness

6.4

Popularity

8.8

Material

Detailed Analysis »

A project-based course to build an AIoT system from theory to prototype
Go to course »
Platform: Udemy
Price: check current price
Video: 1h 43m
Language: English
Next start: On Demand

Classbaze recommendations for you

Enter the new era of Hybrid AI Models optimized by Deep NeuroEvolution

Artificial Intelligence Masterclass

Enter the new era of Hybrid AI Models optimized by Deep NeuroEvolution, with a complete toolkit of ML, DL & AI models
4.6
★★★★★ 4.6/5
13,243 students

Other courses by ​Erwin Ouyang

Go to class »