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

  • 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

  • Skills you'll gain: Large Language Modeling, Image Analysis, Cloud Services, Applied Machine Learning, Computer Vision, MLOps (Machine Learning Operations), Artificial Intelligence, Generative AI, Natural Language Processing, Document Management, Integrated Development Environments, Data Integration, Application Deployment

  • Status: Preview

    Skills you'll gain: Generative AI, Generative Model Architectures, Visualization (Computer Graphics), Google Cloud Platform, Data Ethics, Applied Machine Learning, Responsible AI, Machine Learning Methods

  • 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

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

  • Status: Preview

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

  • Status: Preview

    Skills you'll gain: Applied Machine Learning, Machine Learning Methods, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Natural Language Processing

  • 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: 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

  • Status: New
    Status: Preview

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Risk Modeling, Classification And Regression Tree (CART), Decision Tree Learning, Credit Risk, Predictive Analytics, Random Forest Algorithm, Data Processing, Feature Engineering, Financial Modeling, Data Manipulation, Data Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Pandas (Python Package), Machine Learning Methods, Supervised Learning, Performance Metric, Performance Tuning

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