Filter by
SubjectRequired
LanguageRequired
The language used throughout the course, in both instruction and assessments.
Learning ProductRequired
LevelRequired
DurationRequired
SkillsRequired
SubtitlesRequired
EducatorRequired
Results for "foundations of teaching for learning: planning for teaching and learning"
- Status: Free Trial
Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Generative AI, Regression Analysis, Dimensionality Reduction, Reinforcement Learning, Deep Learning, Data Analysis, Statistical Inference, Applied Machine Learning, Predictive Modeling, Statistical Hypothesis Testing, Data Processing, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Data Science, Python Programming
- Status: Preview
University of Houston
Skills you'll gain: Collaborative Software, Education Software and Technology, Collaboration, Learning Management Systems, Teaching, Communication, Creative Design, Technology Strategies, Web Applications, Content Management, Digital Communications
- Status: Preview
Columbia University
Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Markov Model, Deep Learning, Data-Driven Decision-Making, Decision Support Systems, Simulations, Probability & Statistics
Coursera Project Network
Skills you'll gain: Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis
- Status: Free Trial
DeepLearning.AI
Skills you'll gain: Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Tensorflow, Artificial Intelligence, Supervised Learning, Deep Learning, Random Forest Algorithm, Artificial Neural Networks, Performance Tuning
- Status: Free Trial
Johns 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
University of Illinois Urbana-Champaign
Skills you'll gain: Financial Planning, Investments, Budgeting, Risk Management, Goal Setting, Loans, Finance, Insurance, Credit Risk
- Status: Preview
Duke University
Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging
- Status: Free Trial
Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, OpenAI, Workflow Management, Machine Learning, Self Service Technologies, Application Deployment, Large Language Modeling, Artificial Intelligence, Program Development, Natural Language Processing, Deep Learning, Business Process Automation, Customer Service, Personalized Service, Operational Efficiency, Market Opportunities, IBM Cloud, Data Science
- Status: Free Trial
DeepLearning.AI
Skills you'll gain: Deep Learning, Applied Machine Learning, Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Debugging, Artificial Intelligence, Keras (Neural Network Library), Data Quality, Performance Tuning
- 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
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 foundations of teaching for learning: planning for teaching and learning courses
- IBM Machine Learning: IBM
- Powerful Tools for Teaching and Learning: Web 2.0 Tools: University of Houston
- Decision Making and Reinforcement Learning: Columbia University
- Scikit-Learn For Machine Learning Classification Problems: Coursera Project Network
- Advanced Learning Algorithms: DeepLearning.AI
- Applied Machine Learning: Johns Hopkins University
- Financial Planning for Young Adults: University of Illinois Urbana-Champaign
- Introduction to Machine Learning: Duke University
- AI Foundations for Everyone: IBM
- Structuring Machine Learning Projects: DeepLearning.AI