Global Certificate in Machine Learning Fundamentals: Basic Concepts
-- ViewingNowThe Global Certificate in Machine Learning Fundamentals: Basic Concepts is a comprehensive course that empowers learners with essential skills in Machine Learning (ML). This program focuses on basic ML concepts, making it ideal for beginners or those looking to strengthen their foundation in the field.
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• Introduction to Machine Learning: Defining ML, its importance, and applications
• Data Preprocessing: Data cleaning, normalization, and feature selection
• Supervised Learning: Concepts, algorithms, and evaluation metrics
• Unsupervised Learning: Clustering algorithms, dimensionality reduction
• Regression Analysis: Linear and logistic regression, evaluation
• Classification Techniques: Decision trees, random forests, SVMs
• Neural Networks: Perceptron, backpropagation, deep learning
• Reinforcement Learning: Basics, Q-learning, Deep Q Networks
• Evaluation and Validation: Cross-validation, overfitting, bias-variance tradeoff
• Ethics in Machine Learning: Bias, privacy, fairness, and transparency
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
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- TwoThreeHoursPerWeek
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