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  • Machine Learning Fundamentals

Results for "machine learning fundamentals"


  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    Fundamentals of Java Programming

    Skills you'll gain: Eclipse (Software), Java Programming, Object Oriented Programming (OOP), Java, Object Oriented Design, Integrated Development Environments, Development Environment, Computer Programming, Debugging, Virtual Machines, Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    604 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Deep Learning with PyTorch : Image Segmentation

    Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Computer Vision, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    223 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of London

    Fundamentals of Marketing Strategy

    Skills you'll gain: Marketing Planning, Marketing Strategies, Marketing Strategy and Techniques, Strategic Marketing, Competitive Analysis, Market Analysis, Marketing, Marketing Management, Business Strategy, Market Dynamics, Target Market, Auditing, Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    276 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Cloud Management, DevOps, Continuous Deployment, CI/CD, Machine Learning, Automation, Data Pipelines, Version Control

    4
    Rating, 4 out of 5 stars
    ·
    476 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Titanic Survival Prediction Using Machine Learning

    Skills you'll gain: Feature Engineering, Data Cleansing, Predictive Modeling, Classification And Regression Tree (CART), Applied Machine Learning, Data Processing, Data Manipulation, Supervised Learning, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Analytics, Machine Learning Algorithms, Data Science, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    19 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 1

    Skills you'll gain: Feature Engineering, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Random Forest Algorithm, Responsible AI, Predictive Modeling, Data Import/Export, Machine Learning, Predictive Analytics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    64 reviews

    Beginner · Guided 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 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: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Health Information Technology Fundamentals

    Skills you'll gain: Electronic Medical Record, Clinical Informatics, Health Technology, Health Information Management, Clinical Documentation, Decision Support Systems, Practice Management Software, Technical Support, End User Training and Support, Patient Registration, Databases, Change Control, Interoperability, Authentications

    4.8
    Rating, 4.8 out of 5 stars
    ·
    427 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free
    Free
    U

    University of Minnesota

    Fundamentals of Fluid Power

    Skills you'll gain: Hydraulics, Mechanical Engineering, Schematic Diagrams, Simulation and Simulation Software, Engineering, Engineering Analysis, Control Systems, Automation Engineering, Engineering Calculations, Mechanics, Matlab, Physics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.4K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Fundamentals of Visualization with Tableau

    Skills you'll gain: Data Visualization, Interactive Data Visualization, Data Visualization Software, Data Presentation, Data Literacy, Data Ethics, Data Storytelling, Visualization (Computer Graphics), Dashboard, Tableau Software, Data Manipulation, Data Import/Export

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6.8K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    A

    Automatic Data Processing, Inc. (ADP)

    Payroll and Tax Fundamentals

    Skills you'll gain: Payroll, Payroll Reporting, Payroll Processing, Payroll Administration, Payroll Tax, Labor Law, Tax Preparation, Labor Compliance, Income Tax, Compensation and Benefits, Tax Compliance, Employee Onboarding

    4.8
    Rating, 4.8 out of 5 stars
    ·
    144 reviews

    Beginner · Course · 1 - 4 Weeks

Searches related to machine learning fundamentals

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1…212223…623

In summary, here are 10 of our most popular machine learning fundamentals courses

  • Fundamentals of Java Programming: Board Infinity
  • Deep Learning with PyTorch : Image Segmentation : Coursera
  • Fundamentals of Marketing Strategy: University of London
  • Machine Learning Operations (MLOps): Getting Started: Google Cloud
  • Titanic Survival Prediction Using Machine Learning: Coursera
  • Interpretable Machine Learning Applications: Part 1: Coursera
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Interpretable Machine Learning Applications: Part 4: Coursera
  • Health Information Technology Fundamentals: Johns Hopkins University
  • Fundamentals of Fluid Power: University of Minnesota

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