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.
165credentials
1online degree
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Find the best Machine Learning course for your goals

  • Status: Free Trial

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Simulations, Performance Testing, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Markov Model, Algorithms, Performance Tuning

  • Status: New
    Status: Free Trial

    Skills you'll gain: Tensorflow, Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Time Series Analysis and Forecasting, Image Analysis, Natural Language Processing, Computer Vision, Forecasting, Classification And Regression Tree (CART), Supervised Learning, Machine Learning, Text Mining, Predictive Analytics, NumPy, Network Architecture, Data Processing, Data Science

  • Status: New
    Status: Free Trial

    Skills you'll gain: Wireless Networks, Emerging Technologies, Digital Communications, Internet Of Things, Software-Defined Networking, Network Planning And Design, Distributed Computing, Artificial Intelligence and Machine Learning (AI/ML), Electrical Engineering, Electronics Engineering, Zero Trust Network Access, Information Technology, Machine Learning, Trustworthiness

  • Status: Preview

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Workflow Management, Data Governance, Data Management, Applied Machine Learning, Predictive Modeling, Machine Learning, Data Pipelines

  • Status: Free Trial

    Skills you'll gain: Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Responsible AI, Artificial Neural Networks, Data Ethics, Computer Vision, Machine Learning, Image Quality, Unsupervised Learning, Information Privacy, Data Synthesis, Performance Testing

  • Status: Free Trial

    Skills you'll gain: Responsible AI, Data Analysis, Image Analysis, Pandas (Python Package), Data Ethics, Machine Learning, Tensorflow, Data Processing, Data Pipelines, Data Transformation, Cloud Management, Artificial Neural Networks, Information Privacy, Supervised Learning, Virtual Machines, Application Deployment, Continuous Monitoring, Data Security, Performance Tuning, Scalability

  • Status: New
    Status: Preview

    Skills you'll gain: Unsupervised Learning, Applied Machine Learning, R Programming, Statistical Machine Learning, Machine Learning, Feature Engineering, Data Analysis, Data Manipulation, Data Transformation

  • Status: New
    Status: Preview

    Skills you'll gain: Unsupervised Learning, SPSS, Statistical Machine Learning, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Statistical Analysis, Data Mining, Data Cleansing, Data Analysis, Data Manipulation, Statistical Methods

  • Status: Free Trial

    DeepLearning.AI

    Skills you'll gain: Deep Learning, Statistical Analysis, Clinical Trials, Data Analysis, Precision Medicine, Applied Machine Learning, Patient Treatment, AI Personalization, Machine Learning, Predictive Modeling, Medical Science and Research, Text Mining, Health Informatics, Large Language Modeling, Natural Language Processing

  • Status: Free Trial

    Stanford University

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Unstructured Data, Natural Language Processing, Algorithms, Computational Thinking, Test Data

  • Status: Free Trial

    Skills you'll gain: Deep Learning, Keras (Neural Network Library), PyTorch (Machine Learning Library), Computer Vision, Machine Learning Methods, Machine Learning, Artificial Intelligence, Python Programming

  • Status: New
    Status: Free Trial

    Skills you'll gain: Data Strategy, Data Management, Data Governance, Data Quality, Data-Driven Decision-Making, Artificial Intelligence and Machine Learning (AI/ML), Business Leadership, Predictive Analytics, Analytics, Technical Management, Business Analytics, Machine Learning, Strategic Decision-Making, Artificial Intelligence, Large Language Modeling, Regression Analysis, Decision Tree Learning

Related roles

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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