[ DevCourseWeb ] Udemy - Artificial Neural Networks tutorial - theory & applications

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[ DevCourseWeb.com ] Artificial Neural Networks tutorial - theory & applications

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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 13 lectures (1h 19m) | Size: 132 MB
Machine learning algorithm (ANN) - simplified. See the use cases with R to understand the application
What you'll learn:
Basics of Artificial Neural Network (ANN)
Terms and defintions associated with ANN
How does ANN work
How to solve binary classification problem using artificial neural network in R
How to solve multi level classification problem using artificial neural network in R
Data treatment guideline for using ANN
Pros and Cons of Neural Network

Requirements
Should know basic R programming
Basic computer skills
Ability to locate resource supplied with this course on Udemy platform

Description
This course aims to simplify concepts of Artificial Neural Network (ANN). ANN mimics the process of thinking. Using it's inherent structure, ANN can solve multitude of problem like binary classifications problem, multi level classification problem etc.

The course is unique in terms of simplicity and it's step by step approach of presenting the concepts and application of neural network.

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[ DevCourseWeb ] Udemy - Artificial Neural Networks tutorial - theory & applications


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132.8 MB
seeders:6
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[ DevCourseWeb ] Udemy - Artificial Neural Networks tutorial - theory & applications


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