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Results for "distributional semantics"
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Predictive Modeling, Network Model, Probability & Statistics, Network Analysis, Statistical Inference, Statistical Machine Learning, Sampling (Statistics), Natural Language Processing, Statistical Methods, Algorithms
Johns Hopkins University
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability & Statistics, Probability, Statistics, Bayesian Statistics, Statistical Methods, Statistical Modeling, Statistical Analysis, Probability Distribution, Sampling (Statistics)
Skills you'll gain: Natural Language Processing, Supervised Learning, Dimensionality Reduction, Text Mining, Machine Learning, Feature Engineering, Artificial Intelligence, Unstructured Data, Regression Analysis, Bayesian Statistics
University of California, Irvine
Skills you'll gain: Grammar, Vocabulary, Language Learning
DeepLearning.AI
Skills you'll gain: Tensorflow, Natural Language Processing, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Text Mining, Applied Machine Learning, Machine Learning, Data Processing
DeepLearning.AI
Skills you'll gain: Natural Language Processing, PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Tensorflow, Machine Learning Methods, Artificial Intelligence, Text Mining, Data Processing
Stanford University
Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Applied Machine Learning, Natural Language Processing
Duke University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, Statistical Methods, R Programming, Statistical Software, Statistical Analysis, Probability & Statistics, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation
DeepLearning.AI
Skills you'll gain: Natural Language Processing, Markov Model, Text Mining, Artificial Intelligence, Artificial Neural Networks, Data Processing, Deep Learning, Algorithms, Computer Programming, Unstructured Data, Machine Learning, Probability & Statistics
Duke University
Skills you'll gain: Databricks, Generative AI, Performance Analysis, Apache Airflow, Workflow Management, Data Lakes, Extract, Transform, Load, OpenAI, AWS SageMaker, Performance Tuning, Scalability, Data Transformation, Data Infrastructure, Microsoft Azure, MLOps (Machine Learning Operations), Amazon Web Services, Natural Language Processing, PyTorch (Machine Learning Library), Risk Management Framework, Artificial Intelligence
Google Cloud
Skills you'll gain: Natural Language Processing, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Artificial Intelligence, Cloud Computing, Applied Machine Learning, Cloud API, Cloud Solutions, Feature Engineering, Unstructured Data, Data Processing, Machine Learning, Application Programming Interface (API)
- Status: Free
University of Zurich
Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Descriptive Statistics, Applied Mathematics, Statistical Methods, Risk Analysis, Financial Modeling
In summary, here are 10 of our most popular distributional semantics courses
- Probabilistic Graphical Models:Â Stanford University
- Statistical Inference:Â Johns Hopkins University
- Natural Language Processing with Classification and Vector Spaces:Â DeepLearning.AI
- Adjectives and Adjective Clauses:Â University of California, Irvine
- Natural Language Processing in TensorFlow:Â DeepLearning.AI
- Natural Language Processing with Attention Models:Â DeepLearning.AI
- Probabilistic Graphical Models 1: Representation:Â Stanford University
- Inferential Statistics:Â Duke University
- Natural Language Processing with Probabilistic Models:Â DeepLearning.AI
- Large Language Model Operations (LLMOps):Â Duke University