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Results for "machine learning computational thinking for k-12 educators: sequences and loops"
- Status: Free Trial
Skills you'll gain: Unsupervised Learning, Supervised Learning, Feature Engineering, Applied Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Dimensionality Reduction, Regression Analysis, Decision Tree Learning, Classification And Regression Tree (CART), Statistical Modeling
- Status: New
Skills you'll gain:
- Status: Free Trial
University of Glasgow
Skills you'll gain: Computational Thinking, JSON, Application Deployment, Data Structures, Javascript, Application Development, HTML and CSS, Data Analysis, Code Review, Software Development, Data Visualization Software, Web Development, Scripting Languages, Scripting, Prototyping, Data Processing, Programming Principles, Unsupervised Learning, Front-End Web Development, Computer Programming
- Status: NewStatus: Free Trial
Birla Institute of Technology & Science, Pilani
Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Applied Mathematics, Numerical Analysis, Machine Learning, Artificial Neural Networks, Dimensionality Reduction, Data Analysis
- Status: Free Trial
University of California San Diego
Skills you'll gain: Debugging, Computer Programming Tools, Algorithms, Programming Principles, Computational Thinking, Diversity Awareness, Program Development, Technical Communication, Event-Driven Programming, Computer Programming, Education Software and Technology, Code Review, Diversity Equity and Inclusion Initiatives, Computer Science, Software Documentation, Brainstorming, Data Structures, Development Environment, Student Engagement, Game Design
- Status: Free Trial
Vanderbilt University
Skills you'll gain: Prompt Engineering, ChatGPT, Productivity, Creative Problem-Solving, Generative AI, AI Personalization, Data Synthesis, Image Analysis, Data Capture, Artificial Intelligence, Innovation, Brainstorming, OpenAI, Large Language Modeling, Game Design, Data Analysis, Organizational Skills, Education Software and Technology, Computer Vision, Data Storytelling
- Status: Free Trial
DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Exploratory Data Analysis, Statistical Visualization
- Status: Free Trial
DeepLearning.AI
Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Jupyter, Data Manipulation, Data Science, Applied Mathematics, Machine Learning, Python Programming, Artificial Intelligence
- Status: Preview
University of Michigan
Skills you'll gain: Computational Thinking, Programming Principles, Problem Solving, Computer Science, Disaster Recovery, Algorithms, Computer Programming, Design Thinking, Simulations
- Status: Free Trial
DeepLearning.AI
Skills you'll gain: Applied Mathematics, Calculus, Mathematical Modeling, NumPy, Machine Learning, Python Programming, Artificial Neural Networks, Deep Learning, Visualization (Computer Graphics), Derivatives
- Status: NewStatus: Free Trial
Skills you'll gain: Predictive Modeling, Matplotlib, Seaborn, Statistical Modeling, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, AI Personalization, Feature Engineering, NumPy
- Status: Free Trial
Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Regression Analysis, Dimensionality Reduction, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Processing, Data Access, Anomaly Detection, Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Statistical Analysis, Data Analysis, Statistical Modeling, Applied Machine Learning
In summary, here are 10 of our most popular machine learning computational thinking for k-12 educators: sequences and loops courses
- Machine Learning with Python: IBM
- Algorithm Alchemy: Unlocking the Secrets of Machine Learning: Packt
- Computational Thinking with JavaScript: University of Glasgow
- Linear Algebra for Machine Learning & AI: Birla Institute of Technology & Science, Pilani
- Computational Thinking & Block Programming in K-12 Education: University of California San Diego
- Prompt Engineering for Educators: Vanderbilt University
- Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI
- Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
- Problem Solving Using Computational Thinking: University of Michigan
- Calculus for Machine Learning and Data Science: DeepLearning.AI