Course Lectures: Supervised Machine Learning
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  Aug 21
Welcome

Welcome To This Course
How To Navigate This Course
The Machine Learning Platforms
How To Access The Labs
The Course Structure
All Access Membership
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Introduction To Artificial Intelligence

What is Artificial Intelligence?
The History Of AI
Machine Learning
Computer Vision
Natural Language Processing
Bias In Artificial Intelligence
Examples Of Bias In AI
Risks With AI
The Six Principles Of Responsible AI
Recap
Test Your Knowledge
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Prerequisites

Introduction
Prerequisites for ML.NET and C#
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Loading And Processing Data

Loading And Processing Data
Processing Numeric Data
Handling Outliers
One-Hot Encoding
Binning Geo Data
One-Hot Encoding Geo Bins
Processing Text Data
Recap
Test Your Knowledge
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Process The California Housing Dataset

Introduction
The California Housing Dataset
Process Data with ML.NET and C#
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Supervised And Unsupervised Learning

Supervised And Unsupervised Learning
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Regression

Introduction
Linear Patters In Data
The Linear Regression Algorithm
The RMSE Metric
The MAE And MSE Metrics
The Loss Surface
The Gradient Descent Algorithm
Multidimensional Datasets
Multiple Linear Regression
Recap
Test Your Knowledge
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Predict House Prices In California

Predict House Prices with ML.NET and C#
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Predict Taxi Fares In New York

Introduction
The New York TLC Dataset
Predict Taxi Fares with ML.NET and C#
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Binary Classification

Introduction
Binary Patterns In Data
The Threshold Value
The Sigmoid Function
The Confusion Matrix
The Accuracy Metric
The Precision And Recall Metrics
The TPR and FPR Metrics
The ROC Curve
The AUC Metric
The Calibration Curve
Recap
Test Your Knowledge
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Predict Heart Disease In Cleveland

Introduction
The Cleveland CAD Dataset
Predict Heart Disease with ML.NET and C#
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Multiclass Classification

Introduction
Multiclass Classification
One Versus All
One Versus One
The Multiclass Confusion Matrix
Micro And Macro Averages
Recap
Test your knowledge
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Recognize Handwriting

Introduction
The MNIST Dataset
Recognize Handwriting with ML.NET and C#
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In Conclusion

Course Recap
Your certificate of completion
Closing Words

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