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: 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

  • Status: Free Trial

    Skills you'll gain: Text Mining, Data Processing, Applied Machine Learning, Pandas (Python Package), Data Transformation, NumPy, Unstructured Data, Deep Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Development Environment, Machine Learning

  • Skills you'll gain: Feature Engineering, Tensorflow, Data Pipelines, Data Processing, Data Transformation, Keras (Neural Network Library), Statistical Methods, Machine Learning, Real Time Data, Scalability

  • Status: New
    Status: Preview

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Machine Learning, Machine Learning, Supervised Learning, Unsupervised Learning, Markov Model

  • Status: Free Trial

    Skills you'll gain: Deep Learning, Data Processing, Data Manipulation, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Neural Networks, Data Visualization Software, Pandas (Python Package), System Design and Implementation

  • Status: New
    Status: Preview

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Generative Model Architectures

  • Status: Preview

    University of Michigan

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

  • 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: Free Trial

    Skills you'll gain: Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Artificial Intelligence, Data Quality, Cloud API, Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Natural Language Processing, Image Analysis, Predictive Analytics

  • Skills you'll gain: Real Time Data, Scalability, Data Pipelines, Applied Machine Learning, MLOps (Machine Learning Operations), Machine Learning

  • Status: New
    Status: Preview

    Skills you'll gain: Bayesian Statistics, A/B Testing, Microsoft Excel, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Analysis, Probability & Statistics, Decision Making, Health Informatics, Statistical Programming, Machine Learning, Markov Model

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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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