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Results for "probabilistic+programming+language+(prpl)"
Duke University
Skills you'll gain: Maintainability, Program Development, C (Programming Language), Software Engineering, System Programming, Software Development, Simulations, Command-Line Interface, User Interface (UI), Interactive Design, Computer Programming, Data Structures, Debugging, Data Import/Export, File Management
Arizona State University
Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative AI, Deep Learning, Image Analysis, Machine Learning Algorithms, Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Computer Vision, Predictive Modeling, Regression Analysis
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Predictive Modeling, Network Model, Network Analysis, Probability Distribution, Statistical Methods, Probability & Statistics, Algorithms, Statistical Inference
Coursera Project Network
Skills you'll gain: Programming Principles, Python Programming, Program Development, Scripting, Computer Programming, Scripting Languages
- Status: Free
University of Leeds
Skills you'll gain: Jupyter, Programming Principles, Computer Programming, Python Programming, Development Environment, Scripting, Data Structures, Data Manipulation, Debugging
École Polytechnique Fédérale de Lausanne
Skills you'll gain: Scala Programming, Scalability, Distributed Computing, Dataflow, Event-Driven Programming, System Design and Implementation, Software Architecture, Software Design Patterns, Software Development, Software Systems, Application Frameworks
- Status: Free
Coursera Instructor Network
Skills you'll gain: Application Deployment, Application Development, Data Ethics, Artificial Intelligence, Generative AI, Development Environment, Applied Machine Learning, Deep Learning, Application Security
- Status: Free
University of Washington
Skills you'll gain: Ruby (Programming Language), Object Oriented Programming (OOP), Computer Programming, Programming Principles, Functional Design, Computational Thinking, Software Design Patterns, Debugging
Imperial College London
Skills you'll gain: Generative AI, Tensorflow, Deep Learning, Image Analysis, Bayesian Statistics, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Dimensionality Reduction
Rice University
Skills you'll gain: Combinatorics, Probability, Programming Principles, Program Development, Computational Thinking, Computer Programming, Object Oriented Programming (OOP), Development Testing, Software Testing, Applied Mathematics, Algorithms, Python Programming, Simulations, Arithmetic
- Status: Free
Ball State University
Skills you'll gain: Program Development, Data Analysis, Programming Principles, Statistical Analysis, Computer Programming, Analytics, Python Programming, Object Oriented Programming (OOP), Natural Language Processing, Data Science, Scripting, Development Environment, NumPy, Algorithms, Debugging
Birla Institute of Technology & Science, Pilani
Skills you'll gain: Programming Principles, C (Programming Language), Computer Hardware, Computer Programming, Computer Architecture, Computer Systems, Computational Thinking, Data Structures, Algorithms, File Management, Program Development, Data Storage, Debugging
In summary, here are 10 of our most popular probabilistic+programming+language+(prpl) courses
- Interacting with the System and Managing Memory: Duke University
- Introduction to Machine Learning with Python: Arizona State University
- Probabilistic Graphical Models 3: Learning: Stanford University
- Python Basics: Create a Guessing Number Game from Scratch: Coursera Project Network
- Programming for Data Science: University of Leeds
- Programming Reactive Systems: École Polytechnique Fédérale de Lausanne
- Building Production-Ready Apps with Large Language Models: Coursera Instructor Network
- Programming Languages, Part C: University of Washington
- Probabilistic Deep Learning with TensorFlow 2: Imperial College London
- Principles of Computing (Part 1): Rice University