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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

    • G

      Google Cloud

      Responsible AI for Developers: Interpretability & Transparency - Polski

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

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Interpretability & Transparency - 日本語版

      Skills you'll gain: Data Ethics, Artificial Intelligence, Software Visualization, Data Integrity, Data Governance, Data Quality, Applied Machine Learning, Machine Learning, Technical Documentation

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      MMachine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 한국어

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

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Vector Search and Embeddings - Français

      Skills you'll gain: Large Language Modeling, Google Cloud Platform, Natural Language Processing, Text Mining, Applied Machine Learning

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - 日本語版

      Skills you'll gain: Customer Relationship Management, Google Cloud Platform, Generative AI, Big Data, Predictive Modeling, Prompt Engineering, Artificial Intelligence and Machine Learning (AI/ML), SQL, Data Analysis

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Privacy & Safety - Українська

      Skills you'll gain: Information Privacy, Cloud Security, Personally Identifiable Information, Google Cloud Platform, Generative AI, Data Security, Security Controls, Open Source Technology, Safety and Security, Artificial Intelligence, Machine Learning Methods

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - Українська

      Skills you'll gain: Data Ethics, Artificial Intelligence, Google Cloud Platform, Tensorflow, Applied Machine Learning, Data Validation

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - 日本語版

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

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Utiliser BigQuery Machine Learning pour l'inférence

      Skills you'll gain:

      Beginner · Course · 1 - 4 Weeks

    • U

      University of North Texas

      Bachelor of Science in General Business

      Skills you'll gain: Operations Management, Mediation, Compensation and Benefits, Integrated Marketing Communications, Organizational Change, Event Management, Grammar, Sales Process, Data Mining, Data Visualization, Design Thinking, Global Marketing, Probability & Statistics, Cultural Diversity, Digital Media Strategy, Organizational Leadership, Political Sciences, Social Justice, Music History, Sociology

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      Status: Free
      Free
      C

      Coursera Instructor Network

      GenAI for Compliance Officers: Streamline Regulatory Reports

      Skills you'll gain: Compliance Reporting, Prompt Engineering, Compliance Management, Microsoft Copilot, Generative AI, Regulatory Compliance, Workflow Management, Business Process Automation, Data Validation, Operational Efficiency, Artificial Intelligence, Verification And Validation, Automation

      Intermediate · Course · 1 - 4 Weeks

    • I

      Illinois Institute of Technology

      Master of Data Science

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

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

    • Responsible AI for Developers: Interpretability & Transparency - Polski: Google Cloud
    • Responsible AI for Developers: Interpretability & Transparency - 日本語版: Google Cloud
    • MMachine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 한국어: Google Cloud
    • Vector Search and Embeddings - Français: Google Cloud
    • Work with Gemini Models in BigQuery - 日本語版: Google Cloud
    • Responsible AI for Developers: Privacy & Safety - Українська: Google Cloud
    • Responsible AI for Developers: Fairness & Bias - Українська: Google Cloud
    • Responsible AI for Developers: Fairness & Bias - 日本語版: Google Cloud
    • Utiliser BigQuery Machine Learning pour l'inférence: Google Cloud
    • Bachelor of Science in General Business: University of North Texas

    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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