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Results for "probabilistic graphical models 3: learning"
- Status: Free Trial
Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Generative AI, Deep Learning, Graph Theory, Dimensionality Reduction, Text Mining, Unsupervised Learning, Supervised Learning, Google Cloud Platform, Machine Learning, Computer Vision, Flask (Web Framework), Application Deployment
- Status: Free Trial
Whizlabs
Skills you'll gain: AWS SageMaker, Predictive Modeling, Applied Machine Learning, Data Modeling, Amazon Web Services, Machine Learning, Machine Learning Algorithms, Performance Tuning
- Status: NewStatus: Free Trial
Skills you'll gain: Exploratory Data Analysis, Data Analysis, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Data Cleansing, Supervised Learning, Predictive Analytics, Regression Analysis, Feature Engineering, Statistical Analysis, Anomaly Detection, Bayesian Statistics
- Status: New
Skills you'll gain: Natural Language Processing, Markov Model, Text Mining, Python Programming, Dimensionality Reduction, Bayesian Statistics, Statistical Modeling, Scikit Learn (Machine Learning Library), Unstructured Data, Probability & Statistics, Machine Learning, Linear Algebra
- Status: Preview
Duke University
Skills you'll gain: Generative AI, Cloud Applications, Application Deployment, Large Language Modeling, Other Programming Languages, Data Ethics, MLOps (Machine Learning Operations), Prompt Engineering, Statistical Programming, Risk Management Framework, Natural Language Processing, Performance Testing, Command-Line Interface, Rust (Programming Language)
Google Cloud
Skills you'll gain: Large Language Modeling, Natural Language Processing, Generative AI, Artificial Neural Networks
- Status: Free Trial
Google Cloud
Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML)
- Status: Free
DeepLearning.AI
Skills you'll gain: Generative AI, Jupyter, PyTorch (Machine Learning Library), Image Analysis, Sampling (Statistics), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Algorithms
- Status: Free Trial
University of Michigan
Skills you'll gain: Unified Modeling Language, JSON, Object Oriented Programming (OOP), Software Design, Debugging, Object Oriented Design, Data Processing, Web Scraping, Unit Testing, Programming Principles, Python Programming, Data Import/Export, Restful API, Image Analysis, Data Manipulation, Jupyter, Computer Programming, Maintainability, Data Structures, File Management
- Status: Free Trial
Peking University
Skills you'll gain: Vocabulary, Oral Comprehension, Language Competency, Grammar, Language Learning
- Status: Free Trial
Skills you'll gain: Generative AI, Reinforcement Learning, Deep Learning, Unsupervised Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Keras (Neural Network Library), Machine Learning Algorithms, Machine Learning, Tensorflow, Computer Vision, Dimensionality Reduction, Natural Language Processing
- Status: Free
DeepLearning.AI
Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI, Performance Tuning, Data Processing, Deep Learning
In summary, here are 10 of our most popular probabilistic graphical models 3: learning courses
- Advanced PyTorch Techniques and Applications: Packt
- Modeling in AWS: Whizlabs
- Exploratory Data Analysis & Core ML Algorithms: Packt
- Natural Language Processing - Probability Models in Python: Packt
- Foundations of Local Large Language models: Duke University
- Transformer Models and BERT Model: Google Cloud
- Introduction to Large Language Models: Google Cloud
- How Diffusion Models Work: DeepLearning.AI
- Python 3 Programming: University of Michigan
- Chinese for HSK 3 PART I: Peking University