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Results for "machine learning computational thinking for k-12 educators: sequences and loops"
- Status: Free Trial
Duke University
Skills you'll gain: Large Language Modeling, Decision Tree Learning, Data Ethics, Regression Analysis, Predictive Modeling, Artificial Intelligence, Machine Learning, Applied Machine Learning, Statistical Modeling, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Deep Learning, Artificial Neural Networks, Algorithms
- Status: Free Trial
University of Michigan
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Artificial Intelligence, Computer-Aided Design, Design Thinking, Technical Design, Machine Learning Methods, Machine Learning, Artificial Neural Networks, Data-Driven Decision-Making, Deep Learning, Applied Machine Learning, Machine Learning Algorithms, Algorithms
Coursera Project Network
Skills you'll gain: Feature Engineering, Data Visualization Software, Data Cleansing, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Data Manipulation, Data Science, Data Transformation, Data Processing, Predictive Analytics, Machine Learning, Python Programming
- Status: Free Trial
University of Washington
Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Supervised Learning, Predictive Modeling, Text Mining, Machine Learning Algorithms, Data Cleansing, Scalability, Machine Learning, Natural Language Processing, Big Data, Probability & Statistics, Algorithms
Coursera Project Network
Skills you'll gain: AWS SageMaker, Applied Machine Learning, Amazon Web Services, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Machine Learning Algorithms, Machine Learning, Python Programming
- Status: Free Trial
University of Washington
Skills you'll gain: Regression Analysis, Predictive Modeling, Supervised Learning, Statistical Modeling, Applied Machine Learning, Predictive Analytics, Feature Engineering, Machine Learning, Statistical Methods, Python Programming, Data Manipulation, Algorithms
- Status: NewStatus: Free
DeepLearning.AI
Skills you'll gain: Large Language Modeling, PyTorch (Machine Learning Library), Personally Identifiable Information, Information Privacy, Generative AI, Distributed Computing, Machine Learning
- Status: Preview
University of Michigan
Skills you'll gain: Prompt Engineering, Generative AI, AI Personalization, Language Competency, Language Learning, ChatGPT, Artificial Intelligence, Education Software and Technology, Data Ethics, Communication, Writing
- Status: Free Trial
New York University
Skills you'll gain: Reinforcement Learning, Financial Trading, Financial Market, Derivatives, Markov Model, Financial Modeling, Securities Trading, Portfolio Management, Risk Management, Market Dynamics, Machine Learning, Estimation
- Status: Preview
American Museum of Natural History
Skills you'll gain: Precision Medicine, Healthcare Ethics, Medical Science and Research, Research, Education and Training, General Science and Research, General Medicine, Scientific Methods, Teaching, Life Sciences, Bioinformatics, Molecular Biology, Liberal Arts, Ethical Standards And Conduct, Intellectual Property, Social Studies, Medical Privacy, Food and Beverage
- Status: NewStatus: Free Trial
Skills you'll gain: Apache Spark, Keras (Neural Network Library), Deep Learning, Tensorflow, A/B Testing, Big Data, Data Ethics, Data Processing, Artificial Neural Networks, Machine Learning Algorithms, Data Cleansing, Machine Learning, Predictive Modeling, MLOps (Machine Learning Operations), Artificial Intelligence, Supervised Learning, Statistical Hypothesis Testing, Dimensionality Reduction, Reinforcement Learning
- Status: Preview
Google Cloud
Skills you'll gain: Data Analysis, Big Data, Applied Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Machine Learning
In summary, here are 10 of our most popular machine learning computational thinking for k-12 educators: sequences and loops courses
- Interpretable Machine Learning: Duke University
- AI for Design and Optimization: University of Michigan
- Machine Learning for Kyphosis Disease Classification: Coursera Project Network
- Machine Learning: Classification: University of Washington
- AWS AutoGluon for Machine Learning Classification: Coursera Project Network
- Machine Learning: Regression: University of Washington
- Intro to Federated Learning: DeepLearning.AI
- Learning Languages with AI: University of Michigan
- Reinforcement Learning in Finance: New York University
- Genetics and Society: A Course for Educators: American Museum of Natural History