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: Preview

    Skills you'll gain: Responsible AI, Data Ethics, Machine Learning, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML)

  • Status: Free Trial

    Skills you'll gain: JSON, Data Structures, Computational Thinking, Data Analysis, Data Visualization Software, Scripting, Javascript, Data Processing, Unsupervised Learning, Data Science, Data Modeling, Machine Learning, Computer Programming, Algorithms, Software Development

  • Status: Preview

    Skills you'll gain: Generative AI, Generative Model Architectures, Keras (Neural Network Library), Tensorflow, Large Language Modeling, Deep Learning, Applied Machine Learning, Machine Learning

  • Status: Preview

    Skills you'll gain: Linear Algebra, Statistical Machine Learning, Mathematics and Mathematical Modeling, Statistical Modeling, Probability, Probability & Statistics, Statistical Methods, Bayesian Statistics, Probability Distribution, Mathematical Modeling, General Mathematics, Machine Learning, Applied Mathematics, Statistical Inference, Algebra

  • Skills you'll gain: Supervised Learning, Machine Learning, Machine Learning Algorithms, Time Series Analysis and Forecasting, Data Quality, Unsupervised Learning, Data Cleansing, Data Analysis, Feature Engineering, Pandas (Python Package), Data Transformation, Exploratory Data Analysis, Classification And Regression Tree (CART), Regression Analysis

  • Status: Preview

    Skills you'll gain: Algorithms, Responsible AI, Policy Analysis, Social Justice, Policy Development, Public Policies, Diversity Awareness, Artificial Intelligence, Data Ethics, Machine Learning

  • Status: New
    Status: Preview

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unstructured Data, Probability & Statistics, Dimensionality Reduction, Algorithms

  • Status: Preview

    Skills you'll gain: Data Mining, Exploratory Data Analysis, Dimensionality Reduction, Data Cleansing, Data Transformation, Text Mining, Data-Driven Decision-Making, Forecasting, Big Data, Feature Engineering, Unstructured Data, Data Analysis, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Statistical Analysis, Data Visualization Software, Unsupervised Learning, Machine Learning, Regression Analysis

  • Skills you'll gain: Tensorflow, Keras (Neural Network Library), Data Pipelines, Google Cloud Platform, MLOps (Machine Learning Operations), Deep Learning, Application Deployment, Scalability, Data Processing, Artificial Neural Networks, Machine Learning, Data Transformation

  • Status: New
    Status: Free Trial

    Skills you'll gain: Feature Engineering, Supervised Learning, Exploratory Data Analysis, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Classification And Regression Tree (CART), Statistical Modeling, Pandas (Python Package), NumPy, Data Cleansing, Data Manipulation

  • Status: New
    Status: Preview

    University of the Arts London

    Skills you'll gain: Music, Musical Composition, Artificial Intelligence, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Creativity, Interactive Design, Data Ethics, Music Performance, Human Computer Interaction, Responsible AI, Intellectual Property, Machine Learning

  • Skills you'll gain: Feature Engineering, Dataflow, Tensorflow, Data Processing, MLOps (Machine Learning Operations), Data Pipelines, Keras (Neural Network Library), Data Transformation, Dimensionality Reduction, Machine Learning

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Gain the knowledge and skills you need to advance.

  • 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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