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Results for "machine learning computational thinking for k-12 educators: sequences and loops"
Status: Free TrialFractal Analytics
Skills you'll gain: Applied Machine Learning, Machine Learning, Supervised Learning, Regression Analysis, Decision Tree Learning, Machine Learning Algorithms, Feature Engineering, Unsupervised Learning, Application Deployment, Predictive Modeling, Statistical Modeling, Data Processing, Anomaly Detection, Data Manipulation, Data Cleansing, Exploratory Data Analysis
Status: Free TrialUniversity of California San Diego
Skills you'll gain: Logical Reasoning, Computational Logic, Deductive Reasoning, Computational Thinking, Theoretical Computer Science, Combinatorics, Algorithms, Python Programming, Computer Science, Program Development
Status: Free TrialRice University
Skills you'll gain: Graph Theory, Algorithms, Computational Thinking, Data Analysis, Data Structures, Theoretical Computer Science, Network Analysis, Analysis, Python Programming, Computer Programming
Status: Free TrialUniversity of California San Diego
Skills you'll gain: Debugging, Diversity Awareness, Computational Thinking, Education Software and Technology, Event-Driven Programming, Programming Principles, Computer Programming, Brainstorming
Status: FreeAmazon Web Services
Skills you'll gain: Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Technology Roadmaps, Data-Driven Decision-Making, Artificial Intelligence and Machine Learning (AI/ML), Business Analytics, Business Solutions, Organizational Strategy, Organizational Change, Product Roadmaps, Feasibility Studies, System Requirements, Solution Design
Status: PreviewNortheastern University
Skills you'll gain: Algorithms, Theoretical Computer Science, Data Structures, Computational Thinking, Analysis, Computer Science, Performance Tuning, Software Development, Scalability
Status: PreviewNational Taiwan University
Skills you'll gain: Supervised Learning, Machine Learning, Machine Learning Algorithms, Data Validation, Classification And Regression Tree (CART), Applied Machine Learning, Algorithms, Regression Analysis, Predictive Modeling, Verification And Validation, Feature Engineering, Statistical Methods, Data Transformation
Status: Free TrialUniversity of California San Diego
Skills you'll gain: Computational Thinking, Debugging, Programming Principles, Technical Communication, Computer Programming, Event-Driven Programming, Program Development, Data Structures, Algorithms, Student Engagement, Graphical Tools
Status: PreviewUniversity of Pennsylvania
Skills you'll gain: Prompt Engineering, Data Ethics, ChatGPT, AI Personalization, Generative AI Agents, Generative AI, Education Software and Technology, Artificial Intelligence, Teaching, Information Privacy
Status: Free TrialMathWorks
Skills you'll gain: Computer Vision, Image Analysis, Matlab, Applied Machine Learning, Machine Learning, Visualization (Computer Graphics), Data Validation, Performance Testing
Status: Free TrialImperial College London
Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Statistical Analysis, Linear Algebra, Artificial Neural Networks, Python Programming, Derivatives
Status: Free TrialUniversity of California San Diego
Skills you'll gain: Algorithms, Programming Principles, Computational Thinking, Program Development, Code Review, Software Documentation, Debugging, Technical Communication
In summary, here are 10 of our most popular machine learning computational thinking for k-12 educators: sequences and loops courses
- Foundations of Machine Learning : Fractal Analytics
- Mathematical Thinking in Computer Science: University of California San Diego
- Algorithmic Thinking (Part 1): Rice University
- Computational Thinking for K-12 Educators: Variables and Nested Loops: University of California San Diego
- Machine Learning Essentials for Business and Technical Decision Makers: Amazon Web Services
- Data Structures & Algos: Software Development Skills: Northeastern University
- 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
- Computational Thinking for K-12 Educators: Abstraction, Methods, and Lists: University of California San Diego
- AI in Education: Leveraging ChatGPT for Teaching: University of Pennsylvania
- Machine Learning for Computer Vision: MathWorks
