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Results for "distributional semantics"
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
Skills you'll gain: Event-Driven Programming, Application Development, Interactive Design, User Interface (UI), Programming Principles, Computer Graphics, Python Programming, Program Development, Computer Programming, Simulations, Debugging, Arithmetic
Skills you'll gain: Text Mining, Natural Language Processing, Microsoft Azure, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Unstructured Data, Analytics, Machine Learning, Application Development
University of California, Irvine
Skills you'll gain: Grammar, Vocabulary, Language Learning
- Status: Free
Eindhoven University of Technology
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Quantitative Research, Bayesian Statistics, Statistical Analysis, Sample Size Determination, Data Analysis, Research, Research Design, Research Methodologies, Data Sharing, Probability, Probability Distribution
Skills you'll gain: Generative AI, Natural Language Processing, PyTorch (Machine Learning Library), Artificial Neural Networks, Deep Learning, Text Mining, Feature Engineering, Machine Learning Methods
Skills you'll gain: Natural Language Processing, Semantic Web, Text Mining, Machine Learning Methods, Applied Machine Learning, Dimensionality Reduction, Unstructured Data, Feature Engineering, Unsupervised Learning, Supervised Learning
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
Rice University
Skills you'll gain: Programming Principles, Python Programming, Computational Logic, Development Environment, Computer Programming, Scripting Languages, Debugging
Stanford University
Skills you'll gain: Bayesian Network, Statistical Inference, Markov Model, Statistical Machine Learning, Graph Theory, Sampling (Statistics), Applied Machine Learning, Probability & Statistics, Algorithms, Machine Learning Algorithms
- Status: Free
University of Alberta
Skills you'll gain: Computational Thinking, Programming Principles, Computer Programming, Program Development, Software Quality Assurance, Python Programming, Algorithms, Software Design, Visualization (Computer Graphics), Debugging, Problem Management, Computer Science, Test Planning
Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Deep Learning, Jupyter, Data Processing, Machine Learning
In summary, here are 10 of our most popular distributional semantics courses
- Natural Language Processing with Attention Models:Â DeepLearning.AI
- An Introduction to Interactive Programming in Python (Part 1):Â Rice University
- Natural Language Processing in Microsoft Azure:Â Microsoft
- Adjectives and Adjective Clauses:Â University of California, Irvine
- Improving your statistical inferences:Â Eindhoven University of Technology
- Gen AI Foundational Models for NLP & Language Understanding:Â IBM
- Advanced Semantic Processing:Â Packt
- Natural Language Processing with Probabilistic Models:Â DeepLearning.AI
- Python Programming Essentials:Â Rice University
- Probabilistic Graphical Models 2: Inference:Â Stanford University