Filter by
SubjectRequired
LanguageRequired
The language used throughout the course, in both instruction and assessments.
Learning ProductRequired
LevelRequired
DurationRequired
SkillsRequired
SubtitlesRequired
EducatorRequired
Results for "distributional semantics"
Google Cloud
Skills you'll gain: Natural Language Processing, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Artificial Intelligence, Cloud Computing, Applied Machine Learning, Cloud API, Cloud Solutions, Feature Engineering, Unstructured Data, Data Processing, Machine Learning, Application Programming Interface (API)
LearnQuest
Skills you'll gain: Image Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Wrangling, Operations Research, NumPy, Demand Planning, Data Manipulation, Feature Engineering, Supervised Learning, Inventory Management System, Supply Chain, Applied Machine Learning, Supply Chain Management, Inventory Management, Trend Analysis, Data Visualization, Customer Demand Planning, Predictive Modeling, Anomaly Detection
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
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
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
Skills you'll gain: Event-Driven Programming, Application Development, Interactive Design, Graphical Tools, User Interface (UI), Programming Principles, Computer Graphics, Python Programming, Program Development, Computer Programming, Simulations, Development Environment, Debugging, Arithmetic
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
University of Washington
Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Big Data, Statistical Inference, Dimensionality Reduction, Text Mining, Statistical Modeling, Machine Learning Algorithms, Machine Learning, Scalability, Data Structures, Distributed Computing, Probability Distribution, Algorithms
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
University of Colorado Boulder
Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Statistics, Bayesian Statistics, Statistical Methods, Statistical Analysis, Data Analysis
Skills you'll gain: Natural Language Processing, Semantic Web, Data Processing, Text Mining, Machine Learning Methods, Applied Machine Learning, Unstructured Data, Unsupervised Learning
University of Virginia
Skills you'll gain: Usability Testing, Continuous Delivery, User Acceptance Testing (UAT), Product Testing, Agile Product Development, Continuous Deployment, DevOps, Agile Methodology, User Research, Product Improvement, User Story, Prototyping, Product Development, Lean Methodologies, Innovation
In summary, here are 10 of our most popular distributional semantics courses
- Natural Language Processing on Google Cloud: Google Cloud
- Machine Learning for Supply Chains: LearnQuest
- Probabilistic Graphical Models 1: Representation: Stanford University
- Natural Language Processing with Attention Models: DeepLearning.AI
- Natural Language Processing with Probabilistic Models: DeepLearning.AI
- An Introduction to Interactive Programming in Python (Part 1): Rice University
- Probabilistic Graphical Models 2: Inference: Stanford University
- Machine Learning: Clustering & Retrieval: University of Washington
- Natural Language Processing with Sequence Models: DeepLearning.AI
- Probability Theory: Foundation for Data Science: University of Colorado Boulder