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Results for "distributional+semantics"
Google Cloud
Skills you'll gain: Machine Learning, Natural Language Processing, Tensorflow
Imperial College London
Skills you'll gain: Probability & Statistics, Statistical Analysis, Computer Programming, Deep Learning, Tensorflow
University of Colorado Boulder
Skills you'll gain: Algebra, Mathematics, Calculus, Differential Equations, Mathematical Theory & Analysis, Plot (Graphics), Linear Algebra, Problem Solving, Applied Mathematics, Graph Theory
Coursera Project Network
Skills you'll gain: Critical Thinking, Microsoft Excel, Storytelling
Skills you'll gain: Tensorflow
Universidad de los Andes
Skills you'll gain: Calculus, General Statistics, Probability & Statistics, Probability Distribution, Critical Thinking, Statistical Machine Learning, Mathematics
LearnQuest
Skills you'll gain: Machine Learning, Python Programming, Data Science, Natural Language Processing
École Polytechnique
Skills you'll gain: Calculus, Problem Solving, Algebra, Data Analysis, Mathematics
Skills you'll gain: General Statistics, Probability & Statistics, Probability Distribution, Bayesian Statistics, Python Programming
University of Colorado Boulder
Skills you'll gain: General Statistics, Probability & Statistics, Probability Distribution, Estimation, Calculus, Statistical Tests
Skills you'll gain: Machine Learning, Tensorflow
In summary, here are 10 of our most popular distributional+semantics courses
- Natural Language Processing on Google Cloud:Â Google Cloud
- Probabilistic Deep Learning with TensorFlow 2:Â Imperial College London
- Algebra and Differential Calculus for Data Science:Â University of Colorado Boulder
- Storytelling With Data:Â Coursera Project Network
- Generative AI Language Modeling with Transformers:Â IBM
- Generative AI and LLMs: Architecture and Data Preparation:Â IBM
- Fundamentos de probabilidad y aplicaciones:Â Universidad de los Andes
- Machine Learning for Supply Chains:Â LearnQuest
- Aléatoire : une introduction aux probabilités - Partie 1: École Polytechnique
- Introduction to Computational Statistics for Data Scientists:Â Databricks
