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: MLOps (Machine Learning Operations), Generative AI, Statistical Methods, Google Cloud Platform, Verification And Validation, Performance Testing, Machine Learning, Responsible AI

  • Status: Free Trial

    University of Virginia Darden School Foundation

    Skills you'll gain: Large Language Modeling, Customer Insights, Digital Advertising, ChatGPT, Branding, Design Thinking, Keyword Research, Search Engine Marketing, Brand Awareness, Brand Strategy, Digital Marketing, Marketing Design, Generative AI, Customer experience strategy (CX), Marketing Strategy and Techniques, Business Marketing, AI Personalization, Customer Communications Management, Persona Development, Machine Learning

  • Status: Free Trial

    Skills you'll gain: Data Ethics, Responsible AI, Accountability, Risk Management, Risk Analysis, Information Privacy, Risk Mitigation, Safety and Security, Business Ethics, Artificial Intelligence, Machine Learning

  • Status: Free Trial

    Universidad Nacional Autónoma de México

    Skills you'll gain: Artificial Intelligence, Responsible AI, Liberal Arts, Machine Learning, Social Sciences, Social Studies, Natural Language Processing, Deep Learning, Ethical Standards And Conduct, Emerging Technologies, Human Computer Interaction

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Tensorflow, Data Processing, Data Transformation, Data Pipelines, Applied Machine Learning, Data Manipulation, Keras (Neural Network Library), Data Modeling, Machine Learning Methods, Machine Learning, Python Programming

  • Status: Free Trial

    Skills you'll gain: Image Analysis, Supervised Learning, Applied Machine Learning, Machine Learning Methods, Demand Planning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Anomaly Detection, Statistical Modeling, Supply Chain Management, Machine Learning, Computer Vision, Machine Learning Algorithms, Supply Chain, Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Natural Language Processing, Artificial Neural Networks, Customer Demand Planning

  • Status: Free Trial

    Skills you'll gain: Artificial Intelligence, Business Technologies, Complex Problem Solving, Digital Transformation, Technology Strategies, Case Studies, Artificial Intelligence and Machine Learning (AI/ML), Business Intelligence, Strategic Thinking, AI Product Strategy, Customer Insights, Technology Solutions, Generative AI, Emerging Technologies, Responsible AI, Machine Learning, B2B Sales, Hardware Architecture, Computer Hardware, Business Research

  • Status: Preview

    Skills you'll gain: AI Product Strategy, Responsible AI, Technical Management, Project Management, Data Ethics, Artificial Intelligence, Data Science, Artificial Neural Networks, Machine Learning, Deep Learning, Recruitment, Sales

  • Status: Free Trial

    Skills you'll gain: Marketing Automation, Marketing Analytics, Digital Marketing, MarTech, Predictive Analytics, Advanced Analytics, Analytics, Marketing Effectiveness, Marketing Strategies, Marketing Channel, Data Analysis, Natural Language Processing, Business Ethics, Video Production, Artificial Intelligence, Machine Learning

  • Status: Free Trial

    Whizlabs

    Skills you'll gain: Machine Learning Algorithms, Image Analysis, Reinforcement Learning, Forecasting, Algorithms, AWS SageMaker, Machine Learning, Text Mining, Time Series Analysis and Forecasting, Supervised Learning, Unsupervised Learning, Regression Analysis, Classification And Regression Tree (CART)

  • Skills you'll gain: Google Cloud Platform, Unstructured Data, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Big Data, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Jupyter, Natural Language Processing

  • Status: Free Trial

    Skills you'll gain: Artificial Intelligence, AI Product Strategy, Generative AI, Responsible AI, Machine Learning, Business Research, B2B Sales

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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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