MyPage is a personalized page based on your interests.The page is customized to help you to find content that matters you the most.


I'm not curious

Introduction to Machine Learning with ENCOG 3

Course Summary

This course is focused on implementation and applications of various machine learning methods. As machine learning is a very vast area, this course will be targeted more towards one of the machine learning methods which is neural networks. The course will


  • +

    Course Syllabus

    ● Introduction to Machine Learning
        ◦ Introduction
        ◦ Why Machine Learning ?
        ◦ Why This Course ?
        ◦ Key Concepts
        ◦ Spam Filtering
        ◦ Course Structure
    ● Applications of Machine Learning
        ◦ Introduction
        ◦ Internet
        ◦ Financial Sector
        ◦ e-Commerce
        ◦ Process Industry
        ◦ Others
        ◦ Summary
    ● Machine Learning Tasks
        ◦ Introduction
        ◦ Classification
        ◦ Regression
        ◦ Clustering
        ◦ Summary
    ● Introduction to Neural Networks
        ◦ Introduction
        ◦ Outline
        ◦ Human Neuron vs Artificial Neuron
        ◦ Neuron Computation
        ◦ Neural Network Computation
        ◦ Model Creation
        ◦ Model Training
        ◦ Model Validation
        ◦ Summary
        ◦ Introduction to ENCOG 3
        ◦ Introduction
        ◦ Outline
        ◦ About ENCOG
        ◦ Why ENCOG ?
        ◦ ENCOG Coverage
        ◦ ENCOG Resources
        ◦ Summary
    ● Neural Network Components in ENCOG for .NET
        ◦ Introduction
        ◦ Outline
        ◦ Data
        ◦ Network
        ◦ Training
        ◦ Evaluation
        ◦ XOR Problem
    ● Propagation Training
        ◦ Introduction
        ◦ Outline
        ◦ Propagation Training
        ◦ Basic Concepts
        ◦ Back Propagation Algorithm
        ◦ Manhattan Update Rule
        ◦ Quick Propagation Algorithm
        ◦ Resilient Propagation Algorithm
        ◦ Scaled Conjugate Gradient
        ◦ Levenberg Marquardt Algorithm
        ◦ Demo
        ◦ Summary
    ● Data Normalization
        ◦ Introduction
        ◦ Outline
        ◦ Field Types
        ◦ Need Of Normalization
        ◦ Normalization and De-Normalization
        ◦ Numeric Data Field Normalization
        ◦ Numeric Data Field Normalization in ENCOG
        ◦ Nominal Data Field Normalization
        ◦ ENCOG Analyst
        ◦ Summary
    ● Case Studies (Classification and Regression Task)
        ◦ Introduction
        ◦ Outline
        ◦ Flow Chart
        ◦ Flow Chart
        ◦ Summary

     


Course Fee:
USD 29

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

Attended this course?

Back to Top

Awards & Accolades for MyTechLogy
Winner of
REDHERRING
Top 100 Asia
Finalist at SiTF Awards 2014 under the category Best Social & Community Product
Finalist at HR Vendor of the Year 2015 Awards under the category Best Learning Management System
Finalist at HR Vendor of the Year 2015 Awards under the category Best Talent Management Software
Hidden Image Url

Back to Top