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Results for "人工智慧:機器學習與理論基礎 (artificial intelligence - learning "

  • Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Theoretical Computer Science, Classification Algorithms, Machine Learning Methods, Artificial Neural Networks, Artificial Intelligence, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Model Evaluation, Autoencoders, Convolutional Neural Networks, Generative AI, Supervised Learning, Computer Science, Decision Tree Learning, Algorithms, Network Architecture

  • Skills you'll gain: Artificial Intelligence, Computational Logic, AI literacy, Model Optimization, Simulations, Machine Learning Methods, Algorithms

  • Skills you'll gain: Generative AI Agents, Prompt Engineering, Retrieval-Augmented Generation, Prompt Patterns, Google Gemini, Generative AI, AI Enablement, Customer experience improvement, Agentic Workflows, Google Cloud Platform, Gemini, Agentic systems, Tool Calling, Organizational Strategy, Business Transformation, Artificial Intelligence, AI Integrations, Customer Engagement

  • Skills you'll gain: Google Gemini, Agentic Workflows, AI Enablement, Generative AI Agents, AI Product Strategy, Journey Mapping, Agentic systems, Business Process Automation, No-Code Development, Gemini, Decision Intelligence, Value Engineering, Strategic Prioritization, Prioritization, Retail Sales, User Flows, Prototyping, Retail Store Operations, Business Metrics, Scalability

  • Skills you'll gain: AI Security, Responsible AI, Data Security, Security Strategy, Security Management, IT Security Architecture, Threat Modeling, Infrastructure Security, Threat Management, Risking, Artificial Intelligence, Cyber Threat Intelligence

  • Skills you'll gain: AI Security, Responsible AI, Data Security, Security Strategy, Risking, Cyber Security Strategy, Data Loss Prevention, Security Awareness, Artificial Intelligence, Cybersecurity

What brings you to Coursera today?

  • Skills you'll gain: Supervised Learning, Model Training, Machine Learning, Machine Learning Methods, Statistical Machine Learning, Model Evaluation, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Theoretical Computer Science, Classification Algorithms, Mathematical Modeling, Statistical Methods, Probability & Statistics, Algorithms, Statistical Inference

  • Skills you'll gain: Lifelong Learning, Learning Strategies, Collaboration, Productivity, Human Learning, Learning Theory, Mental Concentration, Open Mindset, Time Management, Interactive Learning, Creativity, Growth Mindedness, Cognitive flexibility, Overcoming Obstacles, Creative Thinking, Self-Awareness, Habit Formation

  • Skills you'll gain: Machine Learning Algorithms, Model Evaluation, Classification Algorithms, Machine Learning Methods, Model Training, Algorithms, Supervised Learning, Logistic Regression, Machine Learning, Applied Machine Learning, Regression Analysis, Feature Engineering, Statistical Methods, Model Optimization, Verification And Validation, Data Transformation

  • Skills you'll gain: Feature Engineering, Autoencoders, Machine Learning Methods, Model Optimization, Deep Learning, Supervised Learning, Regression Analysis, Statistical Machine Learning, Random Forest Algorithm, Decision Tree Learning, Applied Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Classification Algorithms, Predictive Modeling, Model Training, Dimensionality Reduction, Machine Learning, Embeddings, Model Evaluation

  • Skills you'll gain: Prompt Engineering, Generative AI, Google Cloud Platform, Generative AI Agents, MLOps (Machine Learning Operations), Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Infrastructure Architecture, Artificial Intelligence, AI literacy, Applied Machine Learning, Model Deployment, Model Training, Data Preprocessing, Machine Learning

  • Skills you'll gain: Google Cloud Platform, Identity and Access Management, Cloud Infrastructure, Generative AI, Token Optimization, Network Infrastructure, Network Architecture, Data Import/Export, AI Workflows, Network Performance Management, Network Planning And Design, Multi-Cloud, Load Balancing, Model Training