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  • Distributional Semantics

Results for "distributional+semantics"


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    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Decision Intelligence, Bayesian Statistics, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Machine Learning Methods, Markov Model, Decision Support Systems, Machine Learning, Unsupervised Learning, Probability & Statistics, Network Analysis, Statistical Inference, Model Training, Statistical Machine Learning, Model Optimization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: New
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    C

    Coursera

    Tokens to Deployment: NLP, Language Models, & Production API

    Skills you'll gain: OAuth, Unit Testing, Apache Airflow, Fine-tuning, Model Evaluation, Data Validation, API Design, Test Driven Development (TDD), Data Integrity, Extract, Transform, Load, Multimodal Prompts, Natural Language Processing, MLOps (Machine Learning Operations), OpenAI API, Data Presentation, Hugging Face, Token Optimization, LLM Application, CI/CD, Tensorflow

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    Coursera

    Pixels, Waveforms & Words: Engineering Multimodal AI Systems

    Skills you'll gain: Model Optimization, Image Analysis, Transfer Learning, Fine-tuning, Multimodal Prompts, Model Evaluation, Technical Documentation, Data Preprocessing, Debugging, Computer Vision, PyTorch (Machine Learning Library), Feature Engineering, Tensorflow, Model Training, Embeddings, Systems Design, Ethical Standards And Conduct, Large Language Modeling, Root Cause Analysis, Deep Learning

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Foundations of Probability and Statistics

    Skills you'll gain: Probability, Statistical Inference, Estimation, Probability & Statistics, Statistical Methods, Probability Distribution, Statistics, Bayesian Statistics, Markov Model, Statistical Analysis, Sampling (Statistics), Applied Mathematics, Artificial Intelligence, Machine Learning Methods, Generative AI, Data Analysis, Correlation Analysis, Data Science, Machine Learning Algorithms, Mathematical Theory & Analysis

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    4.4
    Rating, 4.4 out of 5 stars
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    351 reviews

    Intermediate · Specialization · 3 - 6 Months

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    J

    Johns Hopkins University

    Differential Calculus through Data and Modeling

    Skills you'll gain: Calculus, Applied Mathematics, Data Modeling, Model Optimization, Estimation, Graphing, Mathematical Modeling, Data Analysis Software, Algebra, Cost Estimation, Mathematical Software, Linear Algebra, Trigonometry, General Mathematics, Advanced Mathematics, Analysis, Derivatives, Mathematical Theory & Analysis, Geometry, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
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    390 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    U

    University of California, Santa Cruz

    Bayesian Statistics

    Skills you'll gain: Bayesian Statistics, Time Series Analysis and Forecasting, Statistical Inference, Statistical Methods, R Programming, Forecasting, Statistical Programming, Probability & Statistics, Statistical Modeling, Technical Communication, Data Presentation, Probability, Statistics, Statistical Analysis, Statistical Reporting, Statistical Software, Probability Distribution, Data Analysis, Markov Model, Data Science

    4.6
    Rating, 4.6 out of 5 stars
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    3.5K reviews

    Intermediate · Specialization · 3 - 6 Months

What brings you to Coursera today?

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    Coursera

    Statistical Inference & Predictive Modeling Foundations

    Skills you'll gain: Descriptive Statistics, A/B Testing, Classification And Regression Tree (CART), Dashboard, Dashboard Creation, Model Evaluation, Model Deployment, Data-Driven Decision-Making, Risk Analysis, Histogram, Statistical Inference, Descriptive Analytics, Simulations, Predictive Modeling, Regression Analysis, Data Visualization, MLOps (Machine Learning Operations), Decision Making, Decision Tree Learning, Keras (Neural Network Library)

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    P

    Packt

    AI Agents with LangGraph, Semantic Kernel, and AutoGen

    Skills you'll gain: LangGraph, Generative AI Agents, AI Orchestration, LangChain, Agentic systems, AI Workflows, LLM Application, Agentic Workflows, OpenAI API, OpenAI, Large Language Modeling, Tool Calling, Retrieval-Augmented Generation, Artificial Intelligence, AI Integrations, Generative AI, Development Environment, Microsoft Azure, AI literacy, Microsoft Development Tools

    4.5
    Rating, 4.5 out of 5 stars
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    169 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    Coursera

    Multimodal Intelligence - Vision, Audio & Language in Action

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, API Design, Multimodal Prompts, Data Preprocessing, Vision Transformer (ViT), Data Processing, Solution Architecture, Kubernetes, Apache Airflow, Transfer Learning, PyTorch (Machine Learning Library), Data Pipelines, CI/CD, Model Evaluation, Deep Learning, Natural Language Processing, Computer Vision, Docker (Software), Ethical Standards And Conduct

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Precalculus through Data and Modelling

    Skills you'll gain: Data Literacy, Data Analysis, Applied Mathematics, Mathematical Modeling, Graphing, Trigonometry, R (Software), R Programming, General Mathematics, Data Modeling, Algebra, Systems Of Measurement, Mathematical Software, Correlation Analysis, Regression Analysis, Calculus, Business Mathematics, Geometry

    4.7
    Rating, 4.7 out of 5 stars
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    321 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    L

    LearnQuest

    Machine Learning for Supply Chains

    Skills you'll gain: Image Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Wrangling, Model Evaluation, Data Preprocessing, Operations Research, Model Training, NumPy, Demand Planning, Feature Engineering, Supervised Learning, Inventory Management System, Supply Chain, Applied Machine Learning, Trend Analysis, Data Visualization, Machine Learning, Data Science, Data Analysis

    3.4
    Rating, 3.4 out of 5 stars
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    86 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Gen AI Foundational Models for NLP & Language Understanding

    Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Embeddings, Generative AI, Natural Language Processing, Generative Model Architectures, Transfer Learning, Model Optimization, Responsible AI, Data Ethics, Text Mining, Model Training, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Feature Engineering

    4.4
    Rating, 4.4 out of 5 stars
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    197 reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular distributional+semantics courses

  • Probabilistic Graphical Models: Stanford University
  • Tokens to Deployment: NLP, Language Models, & Production API: Coursera
  • Pixels, Waveforms & Words: Engineering Multimodal AI Systems: Coursera
  • Foundations of Probability and Statistics: University of Colorado Boulder
  • Differential Calculus through Data and Modeling: Johns Hopkins University
  • Bayesian Statistics: University of California, Santa Cruz
  • Statistical Inference & Predictive Modeling Foundations: Coursera
  • AI Agents with LangGraph, Semantic Kernel, and AutoGen: Packt
  • Multimodal Intelligence - Vision, Audio & Language in Action: Coursera
  • Precalculus through Data and Modelling: Johns Hopkins University

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