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Results for "artificial intelligence and machine learning (ai/ml)"
Lund University
Skills you'll gain: Data Ethics, Artificial Intelligence, Social Justice, Algorithms, Ethical Standards And Conduct, Information Privacy, Political Sciences, Emerging Technologies, Governance, Law, Regulation, and Compliance
Macquarie University
Skills you'll gain: Computational Thinking, Design Thinking, Artificial Intelligence, Creativity, Ethical Standards And Conduct, Machine Learning, Data Quality, Computer Science, Algorithms
Skills you'll gain: Prompt Engineering, Version Control, OpenAI, GitHub, ChatGPT, Generative AI, Application Programming Interface (API), Real Time Data, Artificial Intelligence, Image Analysis, Application Security
Politecnico di Milano
Skills you'll gain: Data Ethics, Artificial Intelligence, Health Care Procedure and Regulation, Health Assessment, Healthcare Ethics, Health Care, Health Informatics, Verification And Validation, Health Technology, Information Privacy
- Status: Free
Coursera Project Network
Skills you'll gain: Applied Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Microsoft Azure, Machine Learning, Supervised Learning, Feature Engineering, Data Pipelines, Data Processing, Data Cleansing, Application Deployment
- Status: Free Trial
DeepLearning.AI
Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML)
- Status: Free Trial
Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Data Quality, Technical Management, Applied Machine Learning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Software Development Life Cycle, Machine Learning, Data Cleansing, Data Pipelines, Technology Solutions, Data Collection, Data Science, Systems Architecture, Feature Engineering, Solution Design, Software Versioning
University of Pennsylvania
Skills you'll gain: Prompt Engineering, Data Ethics, ChatGPT, AI Personalization, Generative AI Agents, Generative AI, Education Software and Technology, Artificial Intelligence, Information Privacy
- Status: Free Trial
Imperial College London
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Data Transformation, Data Science, Jupyter, Machine Learning Methods, Algorithms, Data Manipulation, Python Programming
- Status: Free Trial
Skills you'll gain: Generative AI, Data Ethics, Artificial Intelligence, Business Transformation, Business Leadership, Business Ethics, Governance, Digital Transformation, Data-Driven Decision-Making, Business Strategies, Customer experience improvement, Customer Service
- Status: Free Trial
University of Michigan
Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Dimensionality Reduction, Random Forest Algorithm
- Status: Free Trial
Imperial College London
Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Statistical Analysis, Linear Algebra, Artificial Neural Networks, Python Programming, Derivatives
In summary, here are 10 of our most popular artificial intelligence and machine learning (ai/ml) courses
- Artificial Intelligence: Ethics & Societal Challenges: Lund University
- Artificial Intelligence (AI) Education for Teachers: Macquarie University
- Build AI Apps with ChatGPT, Dall-E, and GPT-4: Scrimba
- Trustworthy AI for Healthcare Management: Politecnico di Milano
- Machine Learning Pipelines with Azure ML Studio: Coursera Project Network
- Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI
- Managing Machine Learning Projects: Duke University
- AI in Education: Leveraging ChatGPT for Teaching: University of Pennsylvania
- Mathematics for Machine Learning: Linear Algebra: Imperial College London
- GenAI for Executives & Business Leaders: An Introduction: IBM