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

  • Skills you'll gain: Geospatial Information and Technology, Geospatial Mapping, Spatial Data Analysis, Geographic Information Systems, GIS Software, Spatial Analysis, Environmental Monitoring, Unsupervised Learning, Data Analysis Software, Image Analysis, Global Positioning Systems, Machine Learning, R Programming, Image Quality, Data Processing, Open Source Technology, Data Collection, Data Transformation, Dimensionality Reduction, Data Import/Export

  • Status: Preview

    Korea Advanced Institute of Science and Technology(KAIST)

    Skills you'll gain: Integral Calculus, Applied Mathematics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Calculus, Mathematics and Mathematical Modeling, Mathematical Modeling, Advanced Mathematics, Machine Learning

  • Skills you'll gain: Google Gemini, Email Automation, Google Cloud Platform, AI Personalization, Identity and Access Management, Authorization (Computing), User Accounts, Test Data, Large Language Modeling, Data Maintenance, Query Languages, SQL, Machine Learning

  • Status: New
    Status: Free Trial

    Skills you'll gain: Emerging Technologies, Generative AI, Communication Systems, Internet Of Things, Software-Defined Networking, Digital Communications, Network Architecture, Zero Trust Network Access, Artificial Intelligence and Machine Learning (AI/ML), Distributed Computing, Deep Learning, Artificial Intelligence, Information Technology, Health Technology, Electronics Engineering, Electrical Engineering, Machine Learning, Trustworthiness

  • Skills you'll gain: Time Series Analysis and Forecasting, Financial Forecasting, Statistical Analysis, Machine Learning, Trend Analysis, Financial Data, Financial Modeling, Jupyter, Predictive Modeling, Regression Analysis, Finance, GitHub, Statistical Modeling

  • Status: Preview

    Skills you'll gain: Digital Transformation, Google Cloud Platform, Google Workspace, Cloud Applications, Collaborative Software, Platform As A Service (PaaS), Database Application, Artificial Intelligence and Machine Learning (AI/ML), Cost Management, Cloud Computing, Cloud Infrastructure, Cloud Storage, Machine Learning, IT Infrastructure, Cloud Security

  • Skills you'll gain: Generative AI, LLM Application, Artificial Intelligence, Machine Learning

  • Status: Free Trial

    Skills you'll gain: Innovation, Entrepreneurship, Artificial Intelligence, New Product Development, Business Transformation, Business Modeling, Business Strategies, Case Studies, Emerging Technologies, Digital Transformation, Organizational Change, Technology Strategies, Algorithms, Big Data, Machine Learning

  • Status: Free Trial

    O.P. Jindal Global University

    Skills you'll gain: Text Mining, Data Ethics, Data Mining, Customer Insights, Marketing Analytics, Unstructured Data, Marketing, Brand Awareness, Natural Language Processing, Predictive Analytics, Machine Learning, Data Quality

  • Status: Preview

    Pontificia Universidad Católica de Chile

    Skills you'll gain: AI Personalization, Machine Learning Algorithms, Machine Learning Software, Machine Learning, Dimensionality Reduction, Analysis, Text Mining, Information Systems

  • Status: Free Trial

    Skills you'll gain: Data Ethics, Responsible AI, Data Visualization, Data Presentation, Data Storytelling, Ethical Standards And Conduct, Data Science, Data Collection, Data Visualization Software, Personally Identifiable Information, Information Privacy, Machine Learning, Algorithms

  • Status: Free Trial

    Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing

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Gain the knowledge and skills you need to advance.

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

    description:

    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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  • This role has a $146,304 median salary ¹.

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    A Data Scientist analyzes large datasets to uncover insights, using statistics, machine learning, and visualization to inform business strategies.

    This role has a $146,304 median salary ¹.

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