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  • Textual Data Visualization

Results for "textual data visualization"


  • Status: New
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    C

    Coursera

    Agentic AI Content for Practitioners: Product

    Skills you'll gain: Agentic Workflows, Prompt Engineering, Agentic systems, AI Personalization, AI Enablement, Artificial Intelligence, Human Computer Interaction, Human Centered Design, Responsible AI, User Flows, User Experience Design, Context Management

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Principal Component Analysis with NumPy

    Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Seaborn, Matplotlib, Statistical Visualization, Jupyter, Dimensionality Reduction, Data Science, Machine Learning Methods, Python Programming, Data Preprocessing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    298 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Artificial Neural Networks, Image Analysis, Deep Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Logistic Regression, Regression Analysis, Supervised Learning, Classification Algorithms, Model Evaluation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    C

    Coursera

    Automate, Analyze, and AI Feedback

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Sampling (Statistics), Statistical Methods, Model Deployment, Statistical Modeling, Human Machine Interfaces, Performance Metric, Performance Analysis, Applied Machine Learning, Anomaly Detection, Predictive Analytics

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing with Probabilistic Models

    Skills you'll gain: Natural Language Processing, Markov Model, Embeddings, Data Preprocessing, Artificial Neural Networks, Machine Learning Methods, Algorithms, Statistical Modeling, Probability & Statistics, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
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    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Engineering with LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, LLM Application, PyTorch (Machine Learning Library), Generative Model Architectures, Generative AI, Natural Language Processing, AI Workflows, Hugging Face, Vector Databases, Transfer Learning, Embeddings, Text Mining, Model Evaluation, Model Deployment, Data Preprocessing, Recurrent Neural Networks (RNNs), Deep Learning, Reinforcement Learning

    4.5
    Rating, 4.5 out of 5 stars
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    882 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Inferential Statistics

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Analysis, Statistical Reporting, Data Analysis, R (Software), Statistical Methods, Statistics, Probability & Statistics, R Programming, Sampling (Statistics), Probability Distribution, Software Installation

    4.8
    Rating, 4.8 out of 5 stars
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    2.8K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    C

    Coursera

    Optimize AI: Build Robust Ensemble Models

    Skills you'll gain: Model Deployment, Model Evaluation, Decision Tree Learning, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Applied Machine Learning, Analytics, A/B Testing, Predictive Modeling, Machine Learning, Predictive Analytics, Statistical Hypothesis Testing, Statistical Methods, Scalability, Machine Learning Algorithms, Random Forest Algorithm, Performance Testing, Performance Analysis, Statistical Analysis, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Introduction to Computer Vision and Image Processing

    Skills you'll gain: Computer Vision, Transfer Learning, Convolutional Neural Networks, IBM Cloud, Cloud Applications, Application Development, Cloud Deployment, Jupyter, Python Programming, Deep Learning, Classification Algorithms, Model Evaluation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.4K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Agentic AI Content for Practitioners (Teams: Sales)

    Skills you'll gain: AI Personalization, Agentic systems, Competitive Intelligence, Sales Management, Sales Strategy, Sales, AI Enablement, Customer Analysis, Customer Relationship Management, Sales Presentations, Real Time Data, Automation, Proposal Development, Case Studies

    Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    Bayesian Statistics

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Analysis, Regression Analysis, Data Analysis, R Programming, Probability, Data-Driven Decision-Making, Predictive Modeling, Probability Distribution

    3.8
    Rating, 3.8 out of 5 stars
    ·
    798 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Improve Accuracy with ML Ensemble Methods

    Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Data Preprocessing, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Sampling (Statistics), Feature Engineering, Model Evaluation, Supervised Learning, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular textual data visualization courses

  • Agentic AI Content for Practitioners: Product: Coursera
  • Principal Component Analysis with NumPy: Coursera
  • Introduction to Neural Networks and PyTorch: IBM
  • Automate, Analyze, and AI Feedback: Coursera
  • Natural Language Processing with Probabilistic Models: DeepLearning.AI
  • Generative AI Engineering with LLMs: IBM
  • Inferential Statistics: Duke University
  • Optimize AI: Build Robust Ensemble Models: Coursera
  • Introduction to Computer Vision and Image Processing: IBM
  • Agentic AI Content for Practitioners (Teams: Sales): Coursera

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