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  • Deploying Applications

Results for "deploying applications"


  • Status: Free
    Free
    D

    DeepLearning.AI

    Vector Databases: from Embeddings to Applications

    Skills you'll gain: LLM Application, Large Language Modeling, Database Systems, Databases, Algorithms, Semantic Web, Data Mining, Prompt Engineering, Applied Machine Learning, Unsupervised Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    8 reviews

    Intermediate · Project · Less Than 2 Hours

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Random Forest Algorithm, Data Processing, Machine Learning Algorithms, Predictive Modeling, Regression Analysis, Feature Engineering, Machine Learning, Exploratory Data Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    24 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Interpretable machine learning applications: Part 5

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

    4.5
    Rating, 4.5 out of 5 stars
    ·
    19 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • 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, Clinical Practices, Responsible AI, Deep Learning, Health Care, Unsupervised Learning, Algorithms, Data Cleansing, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 4

    Skills you'll gain: Predictive Modeling, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Analysis, Data Import/Export, Google Cloud Platform, Jupyter, Decision Tree Learning, Data Processing, Machine Learning, Random Forest Algorithm, Statistical Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    15 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    U

    University of Colorado Boulder

    Deep Learning Applications for Computer Vision

    Skills you'll gain: Computer Vision, Image Analysis, Tensorflow, Deep Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Performance Tuning, Supervised Learning

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    88 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Interpretable machine learning applications: Part 3

    Skills you'll gain: Artificial Neural Networks, Tensorflow, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Business Analytics, Predictive Modeling, Deep Learning, Machine Learning, Mortgage Loans, Consumer Lending

    4.5
    Rating, 4.5 out of 5 stars
    ·
    21 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Applied Machine Learning: Techniques and Applications

    Skills you'll gain: Computer Vision, Supervised Learning, Image Analysis, Applied Machine Learning, Feature Engineering, Machine Learning Algorithms, Data Processing, Predictive Modeling, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Integration, Data Transformation, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis

    3.7
    Rating, 3.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Indian Institute of Science

    Sensors and Systems for Biomedical Applications

    Skills you'll gain: Biomedical Technology, Biomedical Engineering, Medical Devices, Medical Equipment and Technology, Vital Signs, Chemistry, ISO 13485 Standard, Materials science, Analytical Chemistry, Diagnostic Tests, Molecular Biology, Biology, Electocardiography, Neurology, Electronics, Artificial Intelligence, Oncology

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    AI & Deep Learning Concepts and Applications

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Deep Learning, Machine Learning, Applied Machine Learning, Data Ethics, Supervised Learning, Responsible AI, Unsupervised Learning, Natural Language Processing, Computer Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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: New
    New
    Status: Preview
    Preview
    U

    University of Maryland, College Park

    AI Applications in Accounting and Finance

    Skills you'll gain: Accounting and Finance Software, Unstructured Data, Financial Data, Financial Statement Analysis, Image Analysis, Finance, Financial Analysis, Accounting, Emerging Technologies, Artificial Intelligence, Text Mining, Financial Reporting, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Trend Analysis, Data-Driven Decision-Making, Natural Language Processing

    Beginner · Course · 1 - 4 Weeks

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

  • Vector Databases: from Embeddings to Applications: DeepLearning.AI
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Interpretable machine learning applications: Part 5: Coursera
  • Machine Learning in Healthcare: Fundamentals & Applications: Northeastern University
  • Interpretable Machine Learning Applications: Part 4: Coursera
  • Deep Learning Applications for Computer Vision: University of Colorado Boulder
  • Interpretable machine learning applications: Part 3: Coursera
  • Applied Machine Learning: Techniques and Applications: Johns Hopkins University
  • Sensors and Systems for Biomedical Applications: Indian Institute of Science
  • AI & Deep Learning Concepts and Applications: Simplilearn

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