Key Principles of Machine Learning | NUCIDA Group #Training #Validation

Key Principles of Machine Learning | NUCIDA Group #Training #Validation

Unlock the secrets of artificial intelligence with our comprehensive guide on Machine Learning (ML)! In this video, we delve into the **Key Principles of Machine Learning**, covering the three main types: **Supervised Learning**, **Unsupervised Learning**, and **Reinforcement Learning**. Discover how each type functions, when to use them, and the problems they effectively solve. From classification tasks to regression challenges, we break down complex concepts into easy-to-understand segments. Whether you're a beginner or looking to refine your knowledge, this video has something for everyone.

See also:
Quality Characteristics of AI Systems: https://youtu.be/rx-KEO6UKAk
AI-driven Testing vs. Testing of AI Systems: https://youtu.be/xElaAfIDNdI
AI-driven Test Automation with Tosca: https://youtu.be/KohfUjLYocs

#MachineLearning #ArtificialIntelligence #SupervisedLearning #UnsupervisedLearning #ReinforcementLearning #AI #TechEducation

Timeline:
00:00:00 Introduction to Machine Learning Types
00:00:45 Supervised Learning
00:02:32 Classification and Regression
00:04:36 Unsupervised Learning
00:05:43 Cluster Formation and Association
00:07:52 Reinforcement Learning
00:10:19 Correlation vs. Causality in AI
00:12:26 ML Workflow
00:13:47 Goals
00:14:24 Selection of an AI Development Framework
00:14:55 Selection and Implementation of the Algorithm
00:15:57 Preparing and Testing the Data
00:16:35 Model Evaluation
00:17:44 Tuning the Model
00:18:20 Test the Model
00:20:07 Model Provision
00:21:32 Model Usage, Monitoring, and Tuning
00:22:56 Criteria for Choosing the Right ML Type
00:24:57 Factors in ML Algorithm Selection
00:26:30 Quality Characteristics
00:28:26 Data and Empirical Values
00:30:39 Trial and Error Approach
00:31:19 Overfitting and Underfitting

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Key principles of machine learning
Fundamentals of machine learning
Introduction to machine learning principles
Machine learning algorithms basics
Supervised learning vs unsupervised learning
Types of machine learning techniques
Understanding machine learning models
Core concepts in machine learning
Machine learning for beginners
Machine learning training methods
Feature engineering in machine learning
How machine learning works
Supervised machine learning explained
Machine learning model evaluation
Types of data in machine learning
Bias and variance in machine learning
Machine learning in artificial intelligence

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