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Results for "distributional semantics"
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
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, Probability Distribution, Machine Learning Algorithms
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Predictive Modeling, Network Model, Network Analysis, Probability Distribution, Statistical Methods, Probability & Statistics, Algorithms, Statistical Inference
- Status: Free
DeepLearning.AI
Skills you'll gain: Anomaly Detection, Google Cloud Platform, Text Mining, Applied Machine Learning, Natural Language Processing, Semantic Web, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML)
University of Colorado Boulder
Skills you'll gain: Statistical Inference, Statistical Methods, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Data Science, Probability Distribution
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
Universidad de los Andes
Skills you'll gain: Probability, Probability Distribution, Applied Mathematics, Statistics, Risk Management, Risk Modeling, Statistical Modeling, Combinatorics, Descriptive Statistics
University of Washington
Skills you'll gain: Data Ethics, Data Presentation, Statistical Visualization, Data Storytelling, Data Visualization Software, Data Governance, Big Data, Technical Communication, Cloud Computing, Amazon Web Services, Information Privacy, Ethical Standards And Conduct
University of California, Santa Cruz
Skills you'll gain: R Programming, Statistical Modeling, Bayesian Statistics, Statistical Machine Learning, Markov Model, Statistical Methods, Probability & Statistics, Unsupervised Learning, Statistical Inference, Probability Distribution, Machine Learning Algorithms
Coursera Project Network
Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Text Mining, Scikit Learn (Machine Learning Library), Probability & Statistics, Pandas (Python Package), Natural Language Processing, Predictive Modeling, Data Processing, Data Analysis, Statistics, Applied Machine Learning, Supervised Learning, Feature Engineering, Data Visualization Software, Automation
Skills you'll gain: Generative AI, ChatGPT, Natural Language Processing, Computer Vision, Deep Learning, Predictive Modeling, Text Mining, Data Ethics, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Tensorflow, OpenAI, Supervised Learning, Artificial Neural Networks, Software Development Tools, GitHub, Artificial Intelligence, Python Programming, Information Privacy
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
In summary, here are 10 of our most popular distributional semantics courses
- Natural Language Processing with Sequence Models:Â DeepLearning.AI
- Probabilistic Graphical Models 2: Inference:Â Stanford University
- Probabilistic Graphical Models 3: Learning:Â Stanford University
- Understanding and Applying Text Embeddings:Â DeepLearning.AI
- Statistical Inference for Estimation in Data Science:Â University of Colorado Boulder
- Bayesian Statistics: From Concept to Data Analysis:Â University of California, Santa Cruz
- Fundamentos de probabilidad y aplicaciones:Â Universidad de los Andes
- Communicating Data Science Results:Â University of Washington
- Bayesian Statistics: Mixture Models:Â University of California, Santa Cruz
- NLP: Twitter Sentiment Analysis:Â Coursera Project Network