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Results for "machine learning computational thinking for k-12 educators: sequences and loops"
Status: NewStatus: Free TrialSkills you'll gain: Generative AI, Supervised Learning, Unsupervised Learning, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, Applied Machine Learning, Machine Learning Algorithms, Data Collection, Data Cleansing, OpenAI, Feature Engineering, Data Ethics, Dimensionality Reduction, MLOps (Machine Learning Operations), Machine Learning, ChatGPT, Network Model, Network Architecture, Performance Tuning
Status: Free TrialDeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Mathematical Modeling, Machine Learning, Machine Learning Methods, Jupyter
Status: Free TrialUniversity of California San Diego
Skills you'll gain: Computational Thinking, Education Software and Technology, Programming Principles, Debugging, Computer Programming, Computer Programming Tools, Algorithms, Development Environment, Computer Science, Brainstorming
Status: Free TrialUniversity of California San Diego
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Network Routing, Program Development, Network Model, Bioinformatics, Operations Research, Data Storage, Development Testing, Test Engineering, Theoretical Computer Science, Computational Thinking, Network Analysis, Test Case, Programming Principles, Computer Programming, Epidemiology, Software Testing, Debugging
Status: Free TrialMultiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Methods, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Scikit Learn (Machine Learning Library), Artificial Intelligence, NumPy, Predictive Modeling, Deep Learning, Reinforcement Learning, Random Forest Algorithm, Feature Engineering
Status: NewStatus: Free TrialSkills you'll gain: Cryptography, Exploratory Data Analysis, Event-Driven Programming, Encryption, Server Side, Web Development, Regression Analysis, Apache, Web Services, Machine Learning Algorithms, Public Key Cryptography Standards (PKCS), Web Scraping, Natural Language Processing, Web Applications, Key Management, Python Programming, Predictive Modeling, Back-End Web Development, Supervised Learning, Text Mining
What brings you to Coursera today?
Status: Free TrialStatus: AI skillsUniversity of Pennsylvania
Skills you'll gain: Statistical Machine Learning, PyTorch (Machine Learning Library), Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Regression Analysis, Data Processing, Agentic systems, Data Science, Statistical Analysis, Artificial Intelligence, Artificial Neural Networks, Algorithms
Status: Free TrialSkills you'll gain: Feature Engineering, Advanced Analytics, Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Workflow Management, Data Ethics, Supervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Python Programming, Performance Tuning, Performance Metric
Status: Free TrialJohns Hopkins University
Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Computer Vision, Machine Learning Algorithms, Applied Machine Learning, Image Analysis, Dimensionality Reduction, Supervised Learning, Reinforcement Learning, Feature Engineering, Regression Analysis, Data Cleansing, Machine Learning, Data Mining, Scikit Learn (Machine Learning Library), Statistical Machine Learning, Advanced Analytics, Deep Learning, Artificial Neural Networks, Decision Tree Learning
Status: Free TrialImperial College London
Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Feature Engineering, Jupyter, Data Science, Advanced Mathematics, Statistics, Machine Learning Algorithms, Statistical Analysis, Artificial Neural Networks, Algorithms, Python Programming, Machine Learning, Derivatives
Status: Free TrialVanderbilt University
Skills you'll gain: ChatGPT, Creative Problem-Solving, AI Personalization, Innovation, Brainstorming, Game Design, Education Software and Technology, Student Engagement, Prompt Engineering, Interactive Design
Status: Free TrialDuke University
Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Data Ethics, Application Deployment, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis
In summary, here are 10 of our most popular machine learning computational thinking for k-12 educators: sequences and loops courses
- Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
- Mathematics for Machine Learning and Data Science: DeepLearning.AI
- Computational Thinking for K-12 Educators: Sequences and Loops: University of California San Diego
- Data Structures and Algorithms: University of California San Diego
- Machine Learning: DeepLearning.AI
- Applied Python: Web Dev, Machine Learning & Cryptography: EDUCBA
- AI and Machine Learning Essentials with Python: University of Pennsylvania
- The Nuts and Bolts of Machine Learning: Google
- Applied Machine Learning: Johns Hopkins University
- Mathematics for Machine Learning: Imperial College London
