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    • Applied Machine Learning

    Applied Machine Learning Courses Online

    Explore applied machine learning for practical applications. Learn to implement models using scikit-learn, TensorFlow, and real-world datasets.

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    Explore the Applied Machine Learning Course Catalog

    • Status: New
      New
      B

      Board Infinity

      Introduction to JUnit

      Skills you'll gain: Object Oriented Programming (OOP), Eclipse (Software), Java Programming, Development Environment, Programming Principles, Computer Programming, Unit Testing, Debugging, Virtual Machines

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - 繁體中文

      Skills you'll gain: Data Ethics, Artificial Intelligence, Google Cloud Platform, Open Source Technology, Data Quality, Data Validation, Machine Learning

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Deutsch

      Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Predictive Modeling, Google Cloud Platform, Applied Machine Learning, Machine Learning, Data Quality

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Advanced Kubernetes - Security, and Large-Scale Deployments

      Skills you'll gain: Kubernetes, Cloud-Native Computing, Google Cloud Platform, Docker (Software), YAML, Application Deployment, MongoDB, Configuration Management, Cloud Security, Role-Based Access Control (RBAC), Network Security, Application Programming Interface (API), Scalability

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Geliştiriciler için Sorumlu Yapay Zeka: Yorumlanabilirlik ve Şeffaflık

      Skills you'll gain: Data Ethics, Testability, Maintainability, Artificial Intelligence, Data Visualization Software, Applied Machine Learning, Machine Learning, Software Documentation

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Network Fundamentals & Cisco Platform Development

      Skills you'll gain: Network Troubleshooting, Computing Platforms, Network Administration, General Networking, Software-Defined Networking, OSI Models, TCP/IP, Networking Hardware, Network Infrastructure, Network Model, Restful API, Network Protocols, Network Switches, Scripting, Application Programming Interface (API)

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Shiny for Python Ultimate - Web Development with Python

      Skills you'll gain: Data Visualization, Web Applications, Interactive Data Visualization, Front-End Web Development, Application Deployment, Application Development, Web Development, User Interface (UI), Back-End Web Development, Program Development, Data Manipulation, Development Environment, GitHub

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI for Developers: Interpretability & Transparency - 한국어

      Skills you'll gain: Data Ethics, Artificial Intelligence, Applied Machine Learning, Data Analysis, Data Visualization Software, Exploratory Data Analysis, Machine Learning, Technical Documentation, Software Documentation

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Exploit Development, Malware, & Defensive Strategies

      Skills you'll gain: Penetration Testing, Malware Protection, Object Oriented Programming (OOP), Cybersecurity, Network Security, Vulnerability Scanning, Network Analysis, Information Systems Security, Network Protocols, Scripting, Python Programming, Command-Line Interface, Remote Access Systems

      Advanced · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - 한국어

      Skills you'll gain: Data Ethics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform, Tensorflow, Open Source Technology, Machine Learning, Applied Machine Learning, Data Analysis

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      C# Object-Oriented Programming for Beginners in C# and .NET

      Skills you'll gain: Object Oriented Programming (OOP), Object Oriented Design, C# (Programming Language), Programming Principles, .NET Framework

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 日本語版

      Skills you'll gain: Generative AI, Continuous Monitoring, MLOps (Machine Learning Operations), Google Cloud Platform, Data Quality, Predictive Modeling, Machine Learning Methods, Machine Learning, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

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

    • Introduction to JUnit: Board Infinity
    • Responsible AI for Developers: Fairness & Bias - 繁體中文: Google Cloud
    • Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Deutsch: Google Cloud
    • Advanced Kubernetes - Security, and Large-Scale Deployments: Packt
    • Geliştiriciler için Sorumlu Yapay Zeka: Yorumlanabilirlik ve Şeffaflık: Google Cloud
    • Network Fundamentals & Cisco Platform Development: Packt
    • Shiny for Python Ultimate - Web Development with Python: Packt
    • Responsible AI for Developers: Interpretability & Transparency - 한국어: Google Cloud
    • Exploit Development, Malware, & Defensive Strategies: Packt
    • Responsible AI for Developers: Fairness & Bias - 한국어: Google Cloud

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    Deep Learning (30)
    Artificial Neural Network (24)
    Big Data (18)
    Statistical Classification (17)
    Reinforcement Learning (13)
    Algebra (10)
    Bayesian (10)
    Linear Algebra (10)
    Linear Regression (9)
    Numpy (9)

    Frequently Asked Questions about Applied Machine Learning

    It's important to learn about applied machine learning if you want to pursue a career in it or if you want to know how to use it in data analysis. Applied machine learning can be used to solve problems and collect insights from big data sets. When you learn machine learning fundamentals, you will be able to do predictive analysis, data analysis, and text mining. You'll be able to apply different programming languages and platforms to the data problems faced in your organization. Applied machine learning can help you pull insights and make decisions from the information that has been collecting for a long time.‎

    Career opportunities that arise from learning applied machine learning are mostly in computer programming. Applied machine learning, also known as automatic machine learning or AutoML, involves using computer languages for data analysis of large data. Being able to create the programs to do this is important. It is also useful to understand the power and limitations of applied machine learning if you will be using reports and making decisions based on applied machine learning. More and more management information systems include aspects of applied machine learning. This makes the field more useful to those who use data in their daily work.‎

    Online courses on Coursera can help you learn applied machine learning in several languages and platforms, including Python, Matlab, Google Cloud, H20 in R, and TensorFlow. Some courses cover programming languages, and others look at how machine learning is applied to decision making in specific fields. Most courses are at an intermediate level, but a few offer a beginner-level introduction to the fundamentals of applied machine learning and how to chart, plot, and mine text to make big data usable. The courses include lectures, readings, and projects so that you can apply what you learn. Some courses stand alone, and others are part of Specializations and Professional Certificates.‎

    Online Applied Machine Learning courses offer a convenient and flexible way to enhance your existing knowledge or learn new Applied Machine Learning skills. With a wide range of Applied Machine Learning classes, you can conveniently learn at your own pace to advance your Applied Machine Learning career skills.‎

    When looking to enhance your workforce's skills in Applied Machine Learning, 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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