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

    Skills you'll gain: Generative AI, Matplotlib, Plotly, Data Ethics, Data Visualization, Data Cleansing, Data Manipulation, Exploratory Data Analysis, Pandas (Python Package), Data Transformation, Interactive Data Visualization, Data Visualization Software, Data Storytelling, Data Analysis, Scikit Learn (Machine Learning Library), Jupyter, Python Programming, Machine Learning

  • Skills you'll gain: Regression Analysis, Predictive Modeling, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning, Decision Tree Learning, Deep Learning, Statistical Analysis, Data Analysis, Test Data, Artificial Neural Networks, Data Import/Export, Pandas (Python Package), Python Programming, Software Visualization

  • Skills you'll gain: Generative AI, Google Cloud Platform, Cloud Infrastructure, MLOps (Machine Learning Operations), Big Data, Tensorflow, Artificial Intelligence, Machine Learning, Natural Language Processing

  • Skills you'll gain: Responsive Web Design, HTML and CSS, Web Design and Development, Prompt Engineering, Web Development Tools, Web Development, Generative AI, GitHub, Javascript, Artificial Intelligence, Software Engineering, Machine Learning

  • Status: New
    Status: Free Trial

    Saïd Business School, University of Oxford

    Skills you'll gain: Prompt Engineering, Generative AI, Agentic systems, Responsible AI, Artificial Neural Networks, Data Ethics, Governance, Artificial Intelligence, LLM Application, ChatGPT, Artificial Intelligence and Machine Learning (AI/ML), Compliance Management, AI Product Strategy, Data Governance, Enterprise Risk Management (ERM), Large Language Modeling, Business Ethics, Risk Management, Machine Learning, Project Management

  • Skills you'll gain: Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Data Processing, Feature Engineering, Predictive Modeling, Data Cleansing, Performance Analysis, Machine Learning, Real Estate, Regression Analysis, Python Programming

  • Status: Free Trial

    Skills you'll gain: Investment Management, Wealth Management, Asset Management, Investments, FinTech, Financial Trading, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Big Data, Financial Market, Artificial Neural Networks, Machine Learning, Predictive Analytics

  • Status: Free Trial

    DeepLearning.AI

    Skills you'll gain: Image Analysis, Environmental Monitoring, Artificial Intelligence, Climate Change Mitigation, Artificial Neural Networks, Deep Learning, Data Processing, Forecasting, Machine Learning, Computer Vision, Predictive Modeling, Environmental Science, Supervised Learning

  • Status: Free Trial

    University of Michigan

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Artificial Intelligence, AI Product Strategy, Technical Design, Machine Learning, Data-Driven Decision-Making, Deep Learning, Algorithms

  • Skills you'll gain: Data Visualization, Regression Analysis, Scikit Learn (Machine Learning Library), Feature Engineering, Data Cleansing, Predictive Modeling, Data Analysis, Statistical Modeling, Supervised Learning, Machine Learning, Python Programming

  • Skills you'll gain: Keras (Neural Network Library), Deep Learning, Image Analysis, Tensorflow, Computer Vision, Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Predictive Modeling, Machine Learning, Data Processing, Python Programming

  • Status: Preview

    University of Illinois Urbana-Champaign

    Skills you'll gain: Generative AI, Deep Learning, Responsible AI, Artificial Intelligence, Machine Learning, Unsupervised Learning, Artificial Neural Networks, AI Product Strategy, Regression Analysis, Business Ethics, Computer Vision, Governance

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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.

    Offered by

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

    description:

    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.

    Offered by

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