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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, Machine Learning Methods, Application Deployment, Reinforcement Learning, User Feedback, Performance Tuning, Application Performance Management
DeepLearning.AI
Skills you'll gain: Natural Language Processing, Supervised Learning, Markov Model, Text Mining, Dimensionality Reduction, Artificial Intelligence, Keras (Neural Network Library), Artificial Neural Networks, PyTorch (Machine Learning Library), Machine Learning, Deep Learning, Data Processing, Feature Engineering, Algorithms, Tensorflow, Computer Programming, Machine Learning Methods, Unstructured Data, Regression Analysis, Bayesian 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
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
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
- Status: Free
Stanford University
Skills you'll gain: Logical Reasoning, Computational Logic, Deductive Reasoning, Computational Thinking, Business Logic, Applied Mathematics
- Status: Free
Pontificia Universidad Católica de Chile
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
Johns Hopkins University
Skills you'll gain: Calculus, Applied Mathematics, Data Modeling, Estimation, Graphing, Mathematical Modeling, Data Analysis Software, Algebra, Trigonometry, Cost Estimation, Engineering Calculations, Linear Algebra, Data Analysis, Advanced Mathematics, Analysis, Derivatives, Mathematical Theory & Analysis, Geometry
Johns Hopkins University
Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Graphing, Trigonometry, Analytical Skills, R Programming, General Mathematics, Data Modeling, Statistics, Correlation Analysis, Regression Analysis, Calculus, Systems Of Measurement, Geometry, Algebra
- Status: Free
DeepLearning.AI
Skills you'll gain: ChatGPT, OpenAI, Generative AI, Natural Language Processing, Application Development, Application Frameworks, Data Import/Export
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
In summary, here are 10 of our most popular distributional+semantics courses
- Generative AI with Large Language Models: DeepLearning.AI
- Natural Language Processing: DeepLearning.AI
- Large Language Model Operations (LLMOps): Duke University
- Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
- Natural Language Processing with Attention Models: DeepLearning.AI
- Introduction to Logic: Stanford University
- English for Common Interactions in the Workplace: Basic Level: Pontificia Universidad Católica de Chile
- Natural Language Processing with Probabilistic Models: DeepLearning.AI
- Differential Calculus through Data and Modeling: Johns Hopkins University
- Precalculus through Data and Modelling: Johns Hopkins University