Machine Learning

Machine Learning is a branch of artificial intelligence that automates analytical model building, enabling systems to learn and improve from experience without being explicitly programmed. Coursera's Machine Learning catalogue empowers you to understand, design, and apply powerful algorithms and statistical models to make predictions or decisions without human intervention. You'll learn about various forms of learning, such as supervised, unsupervised, and reinforcement learning, along with techniques such as regression, classification, clustering, and deep learning. Furthermore, you'll gain insights into the ethical and societal considerations of Machine Learning and its applications across various industries like healthcare, finance, and entertainment.
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Find the best Machine Learning course for your goals

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Data Science, Data Management, Data Analysis, Data-Driven Decision-Making, Project Design, Performance Metric, Software Engineering, Machine Learning, Predictive Modeling, Statistical Inference

  • Status: New
    Status: Preview

    Skills you'll gain: Data Ethics, No-Code Development, Data Cleansing, Artificial Intelligence, Data Quality, Business Solutions, Machine Learning, Business Metrics, Data Storytelling, Responsible AI, User Experience Design, Application Design, Generative AI, Business Analytics, Compliance Auditing, Regulation and Legal Compliance, Application Deployment, Data Validation, Dashboard, Automation

  • Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Predictive Modeling, System Monitoring, Google Cloud Platform, Data Ethics, Responsible AI, Machine Learning

  • Status: Free Trial

    Skills you'll gain: Extract, Transform, Load, Data Pipelines, Image Analysis, Data Import/Export, Tensorflow, iOS Development, Application Deployment, Android Development, Data Processing, Computer Vision, MLOps (Machine Learning Operations), Swift Programming, Keras (Neural Network Library), Feature Engineering, Mobile Development, Data Integration, Data Transformation, Deep Learning, Javascript, Machine Learning

  • Status: Free Trial

    Skills you'll gain: Jupyter, Computer Programming Tools, Data Visualization Software, Data Science, GitHub, R (Software), Big Data, R Programming, Statistical Programming, Machine Learning, Cloud Computing, Git (Version Control System), IBM Cloud, Development Environment, Other Programming Languages, Version Control, Query Languages, Python Programming, Open Source Technology

  • Status: New
    Status: Free Trial

    Khalifa University

    Skills you'll gain: Data Strategy, Customer Relationship Management (CRM) Software, Data Management, AI Personalization, Sales Enablement, Feature Engineering, Data Governance, Responsible AI, Data Quality, Strategic Decision-Making, Data-Driven Decision-Making, Customer Data Management, Data Ethics, Business Intelligence, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Customer experience improvement, Machine Learning, Reinforcement Learning, Natural Language Processing

  • Status: Free Trial

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, AI Personalization, Responsible AI, Data Ethics, ChatGPT, Education Software and Technology, LLM Application, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Ethical Standards And Conduct, Image Quality, Information Privacy, Machine Learning, Emerging Technologies, Data Security

  • Status: Free Trial

    Stanford University

    Skills you'll gain: Feature Engineering, Healthcare Ethics, Pharmaceuticals, Data Ethics, Clinical Research, Health Systems, Healthcare Industry Knowledge, Unstructured Data, Health Care, Health Informatics, Data Mining, Managed Care, Responsible AI, Clinical Data Management, Applied Machine Learning, Medical Billing, Electronic Medical Record, Machine Learning, Artificial Intelligence, Clinical Research Ethics

  • Status: Preview

    Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Systems Architecture, Data Validation, Machine Learning, Distributed Computing, Performance Tuning, Data Pipelines, Scalability, Hybrid Cloud Computing, Mobile Development Tools

  • Status: Preview

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Cloud Management, DevOps, Continuous Deployment, Automation, Application Deployment, Applied Machine Learning, Machine Learning, Software Development Life Cycle, Continuous Integration, Data Processing

  • Status: Free Trial

    Skills you'll gain: Google Cloud Platform, Tensorflow, Unstructured Data, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Jupyter, Data Pipelines, Machine Learning, Cloud API, Deep Learning

  • Status: Free Trial

    University of Alberta

    Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Probability Distribution

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  • This role has a $169,700 median salary ¹.

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    A Machine Learning Engineer builds and optimizes algorithms that enable computers to learn from data, using large datasets and neural networks.

    This role has a $169,700 median salary ¹.

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