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.
120credentials
432courses

Explore the Applied Machine Learning Course Catalog

  • Status: Preview

    Skills you'll gain: Large Language Modeling, Natural Language Processing, Applied Machine Learning, Text Mining, Deep Learning, Artificial Neural Networks

  • Status: Preview

    Skills you'll gain: Image Analysis, Generative AI, Deep Learning, Computer Vision, Applied Machine Learning

  • Skills you'll gain: MongoDB, Dataflow, Applied Machine Learning, Google Cloud Platform, Data Pipelines, Big Data, Data Integration

  • Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Google Cloud Platform, Data Processing, Data Storage Technologies, Data Modeling, Data Storage, Data Management, DevOps, Applied Machine Learning

  • Status: Preview

    Skills you'll gain: Image Analysis, Generative AI, Deep Learning, Generative Model Architectures, Large Language Modeling, Applied Machine Learning, Computer Vision

  • Skills you'll gain: Applied Machine Learning, Cloud API, Natural Language Processing, Text Mining, Image Analysis, Cloud-Based Integration, Computer Vision, Network Analysis, Web Design

  • Status: Free Trial

    Google Cloud

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Applied Machine Learning, Text Mining

  • Status: Preview

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Generative Model Architectures, Deep Learning, Applied Machine Learning, Natural Language Processing, Artificial Neural Networks

  • Status: New

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Tensorflow, Applied Machine Learning, Data Validation, Machine Learning, Systems Design, Systems Architecture, Distributed Computing, Performance Tuning, Data Pipelines, Scalability, Data Processing, Hybrid Cloud Computing, Debugging

  • Skills you'll gain: Data Ethics, Responsible AI, Data Analysis, Artificial Intelligence, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning

  • Status: Preview

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Deep Learning, MLOps (Machine Learning Operations), Data Processing, Applied Machine Learning, Artificial Neural Networks, Data Pipelines, Application Programming Interface (API)

  • Status: New
    Status: Free Trial

    Skills you'll gain: AI Personalization, Anomaly Detection, Microsoft Azure, Computer Vision, Image Analysis, Artificial Intelligence, Natural Language Processing, Applied Machine Learning, Text Mining, Application Programming Interface (API), Time Series Analysis and Forecasting, Data Processing, Restful API