
Rhino 6 for Beginners Product Design Part.2
usefulit
This is a lecture on Rhino 3D, which is a basic tool for product design.
Basic
Rhino
This is a basic machine learning course that briefly covers the basic machine learning theory for those who are new to machine learning.
86,133 learners
Level Basic
Course period 12 months

Reviews from Early Learners
5.0
haon
I think it would be better if there were subtitles.
5.0
David P3PR
Thank you for the great lecture. It helped me a lot because I have a high level of understanding of the content.
5.0
김주현
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Basic concepts and related terms of machine learning
Various algorithms mainly used in machine learning
Machine learning implementation based on Kaggle dataset
(Please note that this lecture does not provide instructor-assisted answers. )
AlphaGo, artificial neural network translation... Interest in machine learning and deep learning is growing.
This course is for learners who are interested in machine learning but are new to it.
Let's briefly look at the basic principles and related theories of machine learning.
Practice simple machine learning techniques using Kaggle datasets.

Q. Can beginners and novices also take the course?
A. Yes, you can. However, since it focuses on those who want to learn machine learning concepts and covers basic concepts in a general manner, it is not suitable for beginners or above. Please be sure to check the curriculum and "Preview Lectures."
Q. Are lecture notes included?
A. Lecture Overview If you go to the 'Machine Learning Practice Code Materials (Download)' corresponding to the last class,
Code materials for machine learning practice are attached.
You can download the compressed file of the data by clicking the green 'Data' button in the upper right corner.
Who is this course right for?
For those who are new to machine learning
People who want to build basic knowledge of machine learning
Need to know before starting?
Basic understanding of algorithms and mathematics
8,278,676
Learners
6,372
Reviews
4.6
Rating
309
Courses
I will help you grow through useful IT lectures.
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19 lectures ∙ (4hr 18min)
Course Materials:
8. Decision tree
08:19
10. Random Forest
07:01
12. knn
08:56
All
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4.1
72 reviews
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Average Rating 5.0
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Average Rating 4.8
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Average Rating 5.0
$24.20
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