Applied Machine Learning

Applied Machine Learning is a multidisciplinary approach to constructing algorithms that can learn from and predict future data. Coursera's Applied Machine Learning catalogue provides you with the necessary knowledge and skills to effectively use machine learning in a range of practical applications. You'll learn how to process and analyze large-scale data, build predictive models using supervised and unsupervised learning techniques, and apply these models to real-world problems such as image and speech recognition, autonomous driving, and predictive analytics. Enhance your problem-solving abilities and gain a competitive edge in fields like data science, artificial intelligence, and software engineering by mastering machine learning techniques such as decision trees, neural networks, regression, and clustering.
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Explore the Applied Machine Learning Course Catalog

  • Coursera Project Network

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

  • Status: Preview

    University at Buffalo

    Skills you'll gain: Computer Vision, Image Analysis, Computer Graphics, Visualization (Computer Graphics), Digital Design, Artificial Intelligence, Applied Machine Learning, Computer Programming, Matlab, Algorithms, Calculus, Probability & Statistics

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Artificial Neural Networks, Machine Learning Algorithms, Deep Learning, Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Algorithms, Network Architecture, Linear Algebra, Performance Tuning, Probability & Statistics

  • Status: Free Trial

    Skills you'll gain: Data Modeling, Data Transformation, Data Processing, Data Warehousing, Apache Hadoop, Extract, Transform, Load, Data Pipelines, Apache Spark, Feature Engineering, Data Manipulation, Star Schema, Applied Machine Learning, Real Time Data, Machine Learning

  • Status: New
    Status: Free Trial

    Macquarie University

    Skills you'll gain: Responsible AI, Security Controls, Application Security, Cyber Attacks, Cyber Threat Intelligence, Cybersecurity, Data Security, DevSecOps, Security Engineering, Artificial Intelligence, Threat Modeling, Cyber Governance, Artificial Intelligence and Machine Learning (AI/ML), Risk Management, Encryption, Application Programming Interface (API), Machine Learning, Governance, Regulation and Legal Compliance, Applied Machine Learning

  • Status: Free Trial

    Skills you'll gain: Responsible AI, Information Privacy, Generative AI, Data Ethics, Google Cloud Platform, Personally Identifiable Information, Applied Machine Learning, Artificial Intelligence, Data Security, Cloud Security, Artificial Intelligence and Machine Learning (AI/ML), Safety and Security, Machine Learning, Data Governance, Data-Driven Decision-Making, Machine Learning Methods, Encryption, Data Quality, Data Validation

  • Status: Preview

    Skills you'll gain: Technical Management, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Debugging, MLOps (Machine Learning Operations), Deep Learning, Machine Learning, Supervised Learning, Artificial Neural Networks, Performance Tuning

  • Skills you'll gain: Tensorflow, Natural Language Processing, Python Programming, Generative AI, Applied Machine Learning, Machine Learning Methods, Text Mining, Artificial Neural Networks, Machine Learning, Deep Learning, Data Processing

  • Status: Preview

    University of London

    Skills you'll gain: Applied Machine Learning, Artificial Intelligence, Machine Learning, Computer Vision, Data Literacy, Data Processing

  • Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Plotly, Data Visualization, Machine Learning, Social Sciences, Socioeconomics, Machine Learning Algorithms, Scatter Plots, Scikit Learn (Machine Learning Library), Exploratory Data Analysis, Data Analysis, Python Programming

  • Status: Free Trial

    Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Tensorflow, Cloud Engineering, Data Lakes, Apache Spark, Data Infrastructure, Unstructured Data, Big Data, Applied Machine Learning, Real Time Data, Data Warehousing, Extract, Transform, Load, MLOps (Machine Learning Operations), Feature Engineering, Data Processing, PySpark, Cloud Storage, Data Storage

  • Status: Free Trial

    Stanford University

    Skills you'll gain: Health Informatics, Clinical Data Management, Healthcare Ethics, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Data Collection, Applied Machine Learning, Application Deployment, Health Care Procedure and Regulation, Data Ethics, Healthcare Industry Knowledge, Performance Tuning, Feature Engineering, Risk Modeling