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

  • Status: Preview

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

  • Status: Free Trial

    Skills you'll gain: Reinforcement Learning, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction, Statistical Analysis, Classification And Regression Tree (CART), Supervised Learning, Unsupervised Learning, Predictive Modeling, Random Forest Algorithm, Feature Engineering, Data Manipulation

  • Status: New
    Status: Free Trial

    Skills you'll gain: Dimensionality Reduction, Text Mining, Applied Machine Learning, Statistical Machine Learning, Supervised Learning, Unsupervised Learning, Python Programming, Machine Learning, Predictive Modeling, Regression Analysis, Algorithms

  • Skills you'll gain: Analytics, Statistical Machine Learning, Advanced Analytics, Google Cloud Platform, Big Data, Applied Machine Learning, Data Analysis, Predictive Modeling

  • Status: Preview

    Skills you'll gain: Data Mining, Health Informatics, Big Data, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence, Random Forest Algorithm, Clinical Practices, Responsible AI, Deep Learning, Health Care, Unsupervised Learning, Algorithms, Data Cleansing, Artificial Neural Networks

  • Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Workflow Management, Tensorflow, Data Pipelines, Applied Machine Learning, Data Processing, Machine Learning, Predictive Modeling, Data Management, Performance Tuning, Continuous Monitoring

  • Status: Preview

    Skills you'll gain: Data Analysis, Big Data, Applied Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Machine Learning

  • Status: Preview

    Skills you'll gain: Big Data, Data Analysis, Applied Machine Learning, Data-Driven Decision-Making, Google Cloud Platform, Machine Learning

  • Status: New
    Status: Preview

    Skills you'll gain: Generative AI, Applied Machine Learning, Small Data, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Computer Graphics, Machine Learning, Image Analysis, Data Synthesis, Computer Vision, Augmented and Virtual Reality (AR/VR), Simulations, 3D Modeling, Mathematical Modeling

  • Status: Free Trial

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Matlab, Regression Analysis, Predictive Modeling, Classification And Regression Tree (CART), Machine Learning, Predictive Analytics, Feature Engineering, Statistical Modeling, Data Processing, Sampling (Statistics)

  • Skills you'll gain: Big Data, Applied Machine Learning, Google Cloud Platform, Data Analysis, Machine Learning, Machine Learning Algorithms

  • Skills you'll gain: Data Analysis, Business Intelligence, Google Cloud Platform, Applied Machine Learning, Statistical Inference, Machine Learning Methods, Database Management, SQL, Machine Learning Algorithms

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