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Results for "practical applications"


  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Predictive Modeling, Regression Analysis, Feature Engineering, Decision Tree Learning, Machine Learning, Scikit Learn (Machine Learning Library), Exploratory Data Analysis, Data Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    25 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Preview
    Preview
    U

    University of Maryland, College Park

    AI Applications in Accounting and Finance

    Skills you'll gain: Unstructured Data, Financial Data, Financial Statement Analysis, Image Analysis, Finance, Financial Analysis, Accounting, Emerging Technologies, Artificial Intelligence, Text Mining, Annual Reports, Machine Learning, Trend Analysis, Data-Driven Decision-Making, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    XML Practical - Style Sheets with CSS and XSL

    Skills you'll gain: Extensible Markup Language (XML), Extensible Languages and XML, Cascading Style Sheets (CSS), HTML and CSS, Hypertext Markup Language (HTML)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Practical C++: Learn C++ Basics Step by Step

    Skills you'll gain: Object Oriented Programming (OOP), C++ (Programming Language), Development Environment, Computer Programming, Maintainability, Data Structures, Command-Line Interface, Debugging

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Interpretable machine learning applications: Part 5

    Skills you'll gain: Model Evaluation, Responsible AI, Exploratory Data Analysis, Predictive Modeling, Data Visualization, Machine Learning, Policy Analysis, Statistical Methods, Data Science, Data Ethics, Development Environment, Software Engineering

    4.5
    Rating, 4.5 out of 5 stars
    ·
    20 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Investments II: Lessons and Applications for Investors

    Skills you'll gain: Investments, Portfolio Management, Finance, Return On Investment, Behavioral Economics, Equities, Financial Market, Asset Management, Portfolio Risk, Performance Analysis, Income Tax, Decision Making, Benchmarking

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    883 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    UNSW Sydney (The University of New South Wales)

    Remote Sensing Image Acquisition, Analysis and Applications

    Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Machine Learning Methods, Computer Vision, Feature Engineering, Spatial Analysis, Machine Learning, Dimensionality Reduction, Convolutional Neural Networks, Deep Learning, Supervised Learning, Classification Algorithms, Probability & Statistics, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    180 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Machine Learning in Healthcare: Fundamentals & Applications

    Skills you'll gain: Data Mining, Health Informatics, Big Data, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence, Random Forest Algorithm, Responsible AI, Deep Learning, Model Evaluation, Unsupervised Learning, Healthcare Industry Knowledge, Algorithms, Data Cleansing, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 4

    Skills you'll gain: Data Preprocessing, Data Analysis, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Exploratory Data Analysis, Machine Learning, Classification Algorithms, Random Forest Algorithm, Responsible AI

    4.8
    Rating, 4.8 out of 5 stars
    ·
    16 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    N

    Northeastern University

    Introduction to Software Development and Applications

    Skills you'll gain: Systems Thinking, Software Visualization, Software Engineering, Object Oriented Programming (OOP), Application Design, Software Development Life Cycle, Software Design, Systems Development, Software Development, Business Architecture, Business Risk Management, User Centered Design, Process Design

    1.1
    Rating, 1.1 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Node.js & MongoDB: Developing Back-end Database Applications

    Skills you'll gain: Node.JS, MongoDB, NoSQL, Restful API, Back-End Web Development, Server Side, Application Deployment, Authentications, Database Development, Cloud Applications, Database Application, API Design, Application Performance Management, Scalability, Web Applications, Middleware, Javascript, Data Validation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    49 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    D

    DeepLearning.AI

    Vector Databases: from Embeddings to Applications

    Skills you'll gain: Vector Databases, Embeddings, Retrieval-Augmented Generation, LLM Application, Large Language Modeling, Algorithms, Semantic Web, Generative AI Agents, Applied Machine Learning, Unsupervised Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    10 reviews

    Intermediate · Project · Less Than 2 Hours

Searches related to practical applications

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future of ai in sports and practical applications
azure practical - developing your applications
practical applications of fairâ„¢ for cyber risk management
developing fpga-accelerated cloud applications with sdaccel: practice
1…484950…598

In summary, here are 10 of our most popular practical applications courses

  • Interpretable Machine Learning Applications: Part 2: Coursera
  • AI Applications in Accounting and Finance: University of Maryland, College Park
  • XML Practical - Style Sheets with CSS and XSL: EDUCBA
  • Practical C++: Learn C++ Basics Step by Step: Packt
  • Interpretable machine learning applications: Part 5: Coursera
  • Investments II: Lessons and Applications for Investors: University of Illinois Urbana-Champaign
  • Remote Sensing Image Acquisition, Analysis and Applications: UNSW Sydney (The University of New South Wales)
  • Machine Learning in Healthcare: Fundamentals & Applications: Northeastern University
  • Interpretable Machine Learning Applications: Part 4: Coursera
  • Introduction to Software Development and Applications: Northeastern University

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