Lecture 4 (Part 1) - Machine Learning Overview
In this series, we will explain the Artificial Intelligence course offered by Huawei in the Huawei Certified ICT Associate (HCIA) Program.
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In this specific video, we shall go over the fourth lecture titled "Machine Learning Overview"
We go over the following topics in this part:
• Machine Learning Definitions
• Application Scenarios of Machine Learning
• Machine Learning Types (Supervised / Unsupervised / Semi-Supervised / Reinforcement)
• Machine Learning Process (Data Collection / Data Cleansing / Feature Extraction / Model Training & Evaluation / Model Deployment)
• Variance vs Bias
• Loss Function
• Gradient Descent
• Parameters vs HyperParameters
• K-Fold Cross-Validation
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And we shall go over the most used algorithms in the 2nd part insha'Allah
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I hope you get the best out of this video, don't hesitate to tell me your opinions down in the comments.
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