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Results for "distributional semantics"
DeepLearning.AI
Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Artificial Intelligence, Applied Machine Learning, Scalability, Natural Language Processing, Software Development Life Cycle, Machine Learning, Application Deployment, Reinforcement Learning, User Feedback, Performance Tuning
DeepLearning.AI
Skills you'll gain: Natural Language Processing, Keras (Neural Network Library), Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Text Mining, Machine Learning
- Status: Free
Universidade de São Paulo
Skills you'll gain: Debugging, Computational Thinking, Data Structures, Computer Programming, Integrated Development Environments, Computer Science, Python Programming, Software Development, Algorithms
University of Michigan
Skills you'll gain: Data Structures, Python Programming, Data Manipulation, Development Environment, File Management, Data Analysis, Computer Programming, Software Installation
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: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Data Science, Exploratory Data Analysis, Data Analysis, Statistical Visualization
Skills you'll gain: Natural Language Processing, Semantic Web, Data Processing, Text Mining, Machine Learning Methods, Applied Machine Learning, Unstructured Data, Unsupervised Learning
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
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)
University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Statistical Inference, Data Analysis, Probability, Statistical Modeling, Statistical Analysis, Microsoft Excel, Probability Distribution, R Programming, Regression Analysis
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
- 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
- Generative AI with Large Language Models:Â DeepLearning.AI
- Natural Language Processing with Sequence Models:Â DeepLearning.AI
- Introdução à Ciência da Computação com Python Parte 1: Universidade de São Paulo
- Python Data Structures:Â University of Michigan
- Natural Language Processing in TensorFlow:Â DeepLearning.AI
- Probability & Statistics for Machine Learning & Data Science:Â DeepLearning.AI
- Advanced Semantic Processing:Â Packt
- Natural Language Processing with Attention Models:Â DeepLearning.AI
- Statistical Inference:Â Johns Hopkins University
- Bayesian Statistics: From Concept to Data Analysis:Â University of California, Santa Cruz