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Results for "distributional+semantics"
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
Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Processing, Data Cleansing, Machine Learning, Regression Analysis, Feature Engineering, Statistical Modeling, Sampling (Statistics), Performance Metric
- Status: Free
Eindhoven University of Technology
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Quantitative Research, Bayesian Statistics, Statistical Analysis, Statistical Methods, Sample Size Determination, Research, Research Design, General Science and Research, Research Methodologies, Data Sharing, Probability, Probability Distribution
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
ESSEC Business School
Skills you'll gain: Hospitality, Marketing Channel, Business Strategy, Revenue Management, Booking (Sales), E-Commerce, Strategic Partnership, Web Analytics and SEO, Competitive Analysis, Branding, Market Dynamics, Digital Marketing
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
- Status: Free
Tecnológico de Monterrey
Skills you'll gain: Arithmetic, Mathematics Education, Mathematical Modeling, General Mathematics, Calculus, Applied Mathematics, Algebra, Graphing
Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Deep Learning, Jupyter, Data Processing, Machine Learning
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Predictive Modeling, Network Model, Probability & Statistics, Network Analysis, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Natural Language Processing, Algorithms
Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Natural Language Processing, Text Mining, Artificial Neural Networks, Deep Learning, Applied Machine Learning
Skills you'll gain: Generative AI, Natural Language Processing, PyTorch (Machine Learning Library), Artificial Neural Networks, Deep Learning, Text Mining, Feature Engineering, Machine Learning Methods
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
In summary, here are 10 of our most popular distributional+semantics courses
- Natural Language Processing with Attention Models: DeepLearning.AI
- Supervised Machine Learning: Classification: IBM
- Improving your statistical inferences: Eindhoven University of Technology
- Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI
- The fundamentals of hotel distribution: ESSEC Business School
- Bayesian Statistics: From Concept to Data Analysis: University of California, Santa Cruz
- 1.- El Cálculo - Modelo Lineal: Tecnológico de Monterrey
- Generative AI and LLMs: Architecture and Data Preparation: IBM
- Probabilistic Graphical Models: Stanford University
- Generative AI Language Modeling with Transformers: IBM