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  • Natural Language Processing With Deep Learning

Results for "natural language processing with deep learning"


  • Status: Preview
    Preview
    S

    SAS

    Machine Learning Using SAS Viya

    Skills you'll gain: Supervised Learning, Decision Tree Learning, Applied Machine Learning, Data Processing, Predictive Modeling, Statistical Machine Learning, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Artificial Neural Networks, Data Cleansing, Predictive Analytics, No-Code Development, Statistical Programming, Performance Tuning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    102 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Search Engine Optimization (SEO) with Squarespace

    Skills you'll gain: Blogs, Content Management Systems, Search Engine Optimization, Web Analytics and SEO, Keyword Research, Web Content

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.2K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    W

    Wesleyan University

    Machine Learning for Data Analysis

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Unsupervised Learning, Machine Learning, Supervised Learning, Data Analysis, Data Mining, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Statistical Analysis, Statistical Methods, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    327 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Getting Started with Microsoft Excel

    Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Microsoft Office, Data Entry, Microsoft 365

    4.6
    Rating, 4.6 out of 5 stars
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    13K reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

    University of Michigan

    Applied Unsupervised Learning in Python

    Skills you'll gain: Unsupervised Learning, Anomaly Detection, Supervised Learning, Python Programming, Exploratory Data Analysis

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Quick Start Guide to Large Language Models (LLMs): Unit 2

    Skills you'll gain: Prompt Engineering, LLM Application, Large Language Modeling, OpenAI, Responsible AI, AI Personalization, Cost Management, Artificial Intelligence, Case Studies

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Programming in C

    Skills you'll gain: C (Programming Language), Programming Principles, C++ (Programming Language), Algorithms, Data Structures, Other Programming Languages, System Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    62 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Machine Learning Models in Science

    Skills you'll gain: Applied Machine Learning, Data Processing, Dimensionality Reduction, Data Cleansing, Machine Learning Algorithms, Data Transformation, Artificial Neural Networks, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Unsupervised Learning, Supervised Learning, Predictive Modeling, Python Programming

    4
    Rating, 4 out of 5 stars
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    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced ML Algorithms & Unsupervised Learning

    Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Machine Learning Algorithms, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Anomaly Detection, Machine Learning, Classification And Regression Tree (CART)

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Predictive Modeling, Natural Language Processing, Text Mining, Python Programming, Data Mining

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Illinois Urbana-Champaign

    Learning Technologies Foundations and Applications

    Skills you'll gain: Education Software and Technology, Learning Theory, Instructional Design, Technology Solutions, Disabilities, Human Computer Interaction, Technology Strategies, Emerging Technologies, Innovation, Gerontology

    4.5
    Rating, 4.5 out of 5 stars
    ·
    190 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning in the Enterprise

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Data Management, Data Governance, Workflow Management, Tensorflow, Applied Machine Learning, Data Pipelines, Machine Learning, Cloud Computing, Data Transformation, Continuous Monitoring

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

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular natural language processing with deep learning courses

  • Machine Learning Using SAS Viya: SAS
  • Search Engine Optimization (SEO) with Squarespace : Coursera
  • Machine Learning for Data Analysis: Wesleyan University
  • Getting Started with Microsoft Excel: Coursera
  • Applied Unsupervised Learning in Python: University of Michigan
  • Quick Start Guide to Large Language Models (LLMs): Unit 2: Pearson
  • Programming in C: University of Michigan
  • Machine Learning Models in Science: LearnQuest
  • Advanced ML Algorithms & Unsupervised Learning: Packt
  • Machine Learning Foundations: A Case Study Approach: University of Washington

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