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Results for "one-to-many+models"
Duke University
Skills you'll gain: Cloud Computing, Data Science, Machine Learning, Python Programming
University of Minnesota
Skills you'll gain: Data Analysis, Forecasting, General Statistics, Regression, Spreadsheet Software, Statistical Analysis, Microsoft Excel, Probability & Statistics, Basic Descriptive Statistics, Plot (Graphics)
DeepLearning.AI
Skills you'll gain: Feature Engineering
Starweaver
University of Virginia
Skills you'll gain: Marketing, Sales, Leadership and Management, Innovation
Stanford University
Skills you'll gain: Bayesian Network, General Statistics, Probability & Statistics, Graph Theory, Bayesian Statistics, Markov Model
DeepLearning.AI
Skills you'll gain: Applied Machine Learning, Deep Learning, Machine Learning, Mobile Development, Computer Vision, Data Model, Mobile Development Tools, Python Programming, Tensorflow, Cross Platform Development, iOS Development
DeepLearning.AI
Skills you'll gain: Applied Machine Learning, Deep Learning, Javascript, Machine Learning, Computer Programming, Artificial Neural Networks, Tensorflow, Web Development, Machine Learning Software, Visualization (Computer Graphics)
- Status: Free
Google Cloud
Johns Hopkins University
Skills you'll gain: Mathematics, Calculus, Algebra, Mathematical Theory & Analysis, Differential Equations, Problem Solving, Linear Algebra
Skills you'll gain: Cloud Computing
Imperial College London
In summary, here are 10 of our most popular one-to-many+models courses
- Large Language Model Operations (LLMOps): Duke University
- Introduction to Predictive Modeling: University of Minnesota
- Data Modeling, Transformation, and Serving: DeepLearning.AI
- Business Process Modelling: Starweaver
- Innovating with the Business Model Canvas: University of Virginia
- Probabilistic Graphical Models 2: Inference: Stanford University
- Device-based Models with TensorFlow Lite: DeepLearning.AI
- Browser-based Models with TensorFlow.js: DeepLearning.AI
- Introduction to Image Generation: Google Cloud
- Differential Calculus through Data and Modeling: Johns Hopkins University