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    • Text Classification

    Text Classification Courses Online

    Learn text classification for natural language processing. Understand how to categorize text data using machine learning models.

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    Explore the Text Classification Course Catalog

    • G

      Google Cloud

      Vertex AI Tabular Data: Qwik Start

      Skills you'll gain: Google Cloud Platform, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Machine Learning Methods, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Data Manipulation

      Intermediate · Project · Less Than 2 Hours

    • Status: Free
      Free
      D

      DeepLearning.AI

      Improving Accuracy of LLM Applications

      Skills you'll gain: Test Data, Large Language Modeling, Prompt Engineering, Data Quality, Performance Tuning, Generative AI, Query Languages

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7 reviews

      Intermediate · Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Data Viz Using Tableau & Presenting With Storytelling

      Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization Software, Tableau Software, Presentations, Interactive Data Visualization, Verbal Communication Skills, Data Analysis, Pivot Tables And Charts, Scatter Plots, Stakeholder Communications, Spatial Analysis, Trend Analysis

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Maryland, College Park

      AI in Digital Marketing

      Skills you'll gain: AI Personalization, Digital Marketing, Marketing Strategies, Customer Engagement, Marketing Analytics, Content Marketing, Generative AI, Social Media Marketing, Customer experience improvement, Data-Driven Decision-Making, Artificial Intelligence, Marketing Automation, Social Media, Customer Analysis, Customer Insights, Business Ethics, Predictive Analytics

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Design Strategies for Maximizing Total Data Quality

      Skills you'll gain: Data Quality, Data Integrity, Data Validation, Quality Assurance, Data Collection, Data Processing, Data Analysis, Data Access, Sampling (Statistics), Statistical Methods

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      Universidad Austral

      NLP Modelos y Algoritmos

      Skills you'll gain: Natural Language Processing, PyTorch (Machine Learning Library), Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Tensorflow, Deep Learning, Scikit Learn (Machine Learning Library), Python Programming, Jupyter, Machine Learning, Unsupervised Learning, Algorithms, Supervised Learning

      3.7
      Rating, 3.7 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Simplilearn

      AI ML with Deep Learning and Supervised Models

      Skills you'll gain: Supervised Learning, Data Modeling, Data Analysis, Regression Analysis, Unsupervised Learning, Artificial Intelligence, Classification And Regression Tree (CART), Machine Learning Algorithms, Tensorflow, Deep Learning, Keras (Neural Network Library), Machine Learning, Applied Machine Learning, Artificial Neural Networks, Predictive Modeling, Predictive Analytics, Data Ethics, Algorithms, Random Forest Algorithm, Computer Vision

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Advanced Rust Programming and Real-World Applications

      Skills you'll gain: Rust (Programming Language), Performance Tuning, Blockchain, Web Servers, Web Development, Performance Testing, System Programming, Distributed Computing, Web Scraping, Data Structures, Scalability, Software Design Patterns

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Predict Ad Clicks Using Logistic Regression and XG-Boost

      Skills you'll gain: Scikit Learn (Machine Learning Library), Data Visualization, Feature Engineering, Customer Analysis, Data Presentation, Predictive Modeling, Predictive Analytics, Marketing Analytics, Applied Machine Learning, Online Advertising, Data Cleansing, Data Manipulation, Advertising, Classification And Regression Tree (CART), Digital Advertising, Machine Learning Methods, Performance Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      10 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      Università di Napoli Federico II

      Derivatives

      Skills you'll gain: Derivatives, Financial Market, Securities (Finance), Financial Trading, Finance, Actuarial Science, Investments, Futures Exchange, Equities, Risk Modeling, Financial Modeling, Numerical Analysis, Mathematical Modeling, Simulation and Simulation Software, Probability

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      W

      Whizlabs

      Exam Prep AIF-C01: AWS Certified AI Practitioner

      Skills you'll gain: Prompt Engineering, Generative AI, MLOps (Machine Learning Operations), AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), OpenAI, Amazon Web Services, Large Language Modeling, AWS Identity and Access Management (IAM), Machine Learning, Cloud Security, Amazon CloudWatch, Amazon S3, Deep Learning, Natural Language Processing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 3 Months

    • S

      SAS

      Four Rare Machine Learning Skills All Data Scientists Need

      Skills you'll gain: Predictive Modeling, Predictive Analytics, Marketing Analytics, Statistical Machine Learning, Machine Learning, Data Science, Applied Machine Learning, Statistical Analysis, Customer Retention, Technical Communication

      Advanced · Course · 1 - 4 Weeks

    Text Classification learners also search

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    1…717273…100

    In summary, here are 10 of our most popular text classification courses

    • Vertex AI Tabular Data: Qwik Start: Google Cloud
    • Improving Accuracy of LLM Applications: DeepLearning.AI
    • Data Viz Using Tableau & Presenting With Storytelling: University of Pennsylvania
    • AI in Digital Marketing: University of Maryland, College Park
    • Design Strategies for Maximizing Total Data Quality: University of Michigan
    • NLP Modelos y Algoritmos: Universidad Austral
    • AI ML with Deep Learning and Supervised Models: Simplilearn
    • Advanced Rust Programming and Real-World Applications: Packt
    • Predict Ad Clicks Using Logistic Regression and XG-Boost: Coursera Project Network
    • Derivatives: Università di Napoli Federico II

    Frequently Asked Questions about Text Classification

    Text classification is a process of categorizing text into organized sections or groups. Text classifiers use elements of Natural Language Processing (NLP) to structure textual data in fast, cost-effective, and scalable ways. Also known as text categorization or text tagging, this system of text classification is a useful way to analyze textual components and then organize the text according to tags based on its content. Text classification easily pulls insights from data and then uses that data to automate business processes.‎

    It's valuable to learn about text classification because you can understand that unstructured text is everywhere in our online lives. We use unclassified text every day in our emails, chat conversations, and social media interactions. Businesses and others want to know the value that’s in this unstructured text, but it’s hard to extract value from this data unless it’s organized in a certain way. Text classification can organize text by topic, language, and sentiment to filter it by category and use.‎

    Some of the typical careers that use text classification include jobs like a computational linguist, AI machine learning manager, NLP scientist, system design analyst, computer researcher, technical writer, and other similar data roles. Text classification is an emerging field connected to NLP, and job opportunities may come to those with a background in data science, artificial intelligence, and machine learning experience. Gaining a better understanding of text classification in these types of jobs may help you to grow in levels within your company or organization.‎

    By taking online courses about text classification, you may learn certain basic protocols of how to analyze emails, spam, video content, and social media posts. You may also learn to recognize certain NLP tasks in your daily work and assess which techniques work best. Learning text classification from online courses could show you the various approaches to the subject—the rule-based approach to text classification, the machine learning approach, or a hybrid combination of both. Taking online courses can help you learn the fundamentals of text classification, which can benefit you with skills and knowledge to help you build your future opportunities in this emerging field.‎

    Online Text Classification courses offer a convenient and flexible way to enhance your knowledge or learn new Text Classification skills. Choose from a wide range of Text Classification courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Text Classification, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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