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: 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

  • 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: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Machine Learning, Machine Learning, Supervised Learning, Unsupervised Learning, Markov Model

  • 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

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

  • 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

  • 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

    Skills you'll gain: Generative AI, Responsible AI, Google Cloud Platform, Artificial Intelligence, Large Language Modeling, Data-Driven Decision-Making, Machine Learning, Unstructured Data, Data Quality

  • Status: Free Trial

    Skills you'll gain: AWS Identity and Access Management (IAM), Dashboard, Amazon Web Services, Interactive Data Visualization, Data Visualization Software, Amazon Redshift, Big Data, Cloud Security, Security Controls, Encryption, Amazon S3, Key Management, Data Integration, Predictive Modeling, Data Cleansing, Machine Learning

  • Status: New
    Status: Preview

    Skills you'll gain: Generative AI, Artificial Intelligence, AI Product Strategy, Responsible AI, Machine Learning, Natural Language Processing

  • Status: Preview

    Skills you'll gain: Data Ethics, Responsible AI, Machine Learning, Information Privacy, Personally Identifiable Information, Artificial Intelligence, Data Security, Data Governance, Cybersecurity, Algorithms

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    This role has a $169,700 median salary ¹.

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