Advanced Certificate in Artificial Intelligence: Machine Learning Techniques
-- ViewingNowThe Advanced Certificate in Artificial Intelligence: Machine Learning Techniques is a comprehensive course that focuses on the rapidly evolving field of AI and Machine Learning. This certification equips learners with essential skills to design, implement, and maintain Machine Learning systems, addressing the growing industry demand for AI specialists.
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โข Unit 1: Introduction to Artificial Intelligence & Machine Learning
โข Unit 2: Supervised Learning Algorithms
• Unit 2.1: Linear Regression
• Unit 2.2: Logistic Regression
• Unit 2.3: Decision Trees & Random Forests
• Unit 2.4: Support Vector Machines
โข Unit 3: Unsupervised Learning Algorithms
• Unit 3.1: K-Means Clustering
• Unit 3.2: Hierarchical Clustering
• Unit 3.3: Principal Component Analysis
โข Unit 4: Deep Learning Techniques
• Unit 4.1: Artificial Neural Networks
• Unit 4.2: Convolutional Neural Networks
• Unit 4.3: Recurrent Neural Networks
โข Unit 5: Natural Language Processing
• Unit 5.1: Text Preprocessing
• Unit 5.2: Word Embeddings
• Unit 5.3: Sentiment Analysis
โข Unit 6: Reinforcement Learning
• Unit 6.1: Markov Decision Processes
• Unit 6.2: Q-Learning & Deep Q-Networks
• Unit 6.3: Monte Carlo Tree Search
โข Unit 7: Evaluation Metrics & Model Selection
• Unit 7.1: Cross-Validation
• Unit 7.2: Bias-Variance Trade-off
• Unit 7.3: Model Evaluation
โข Unit 8: Ethical Considerations & Bias in AI
• Unit 8
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- ThreeFourHoursPerWeek
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