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.
118credentials
1online degree
433courses

Explore the Applied Machine Learning Course Catalog

  • Status: Free Trial

    Skills you'll gain: Dataflow, Tensorflow, Data Pipelines, Google Cloud Platform, Data Import/Export, Feature Engineering, Real Time Data, Unstructured Data, Applied Machine Learning, Data Lakes, Apache Spark, Dashboard, Big Data, Data Warehousing, Data Management, MLOps (Machine Learning Operations), Data Infrastructure, Cloud Engineering, Cloud Storage, PySpark

  • Status: Free Trial

    Skills you'll gain: PyTorch (Machine Learning Library), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Application Deployment, Machine Learning, Predictive Modeling, Natural Language Processing, Python Programming, Performance Tuning, Data Science

  • Status: New
    Status: Free Trial

    Skills you'll gain: Prompt Engineering, LangChain, LLM Application, Generative AI, Generative AI Agents, Application Development, Large Language Modeling, UI Components, Semantic Web, Data Storage Technologies, Databases, NoSQL, Data Storage, Flask (Web Framework), Query Languages, Artificial Intelligence, Database Architecture and Administration, Applied Machine Learning, Information Management, Jupyter

  • 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

  • Skills you'll gain: Image Analysis, Applied Machine Learning, Deep Learning, Computer Vision, Artificial Neural Networks, Machine Learning Methods, Data Processing, Performance Tuning, Regression Analysis

  • 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: LLM Application, Large Language Modeling, Prompt Engineering, Applied Machine Learning, Generative Model Architectures, Machine Learning Methods

  • Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Applied Machine Learning, Data Pipelines, CI/CD, Machine Learning

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Statistical Modeling, Statistical Machine Learning, Regression Analysis, Statistical Methods, Predictive Modeling, Statistical Analysis, Classification And Regression Tree (CART), Data Science, R Programming, Probability & Statistics, Supervised Learning, Machine Learning, 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: New
    Status: Preview

    Skills you'll gain: Unsupervised Learning, SPSS, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Statistical Analysis, Data Cleansing, Data Analysis, Statistical Methods, Data Visualization Software

  • Skills you'll gain: Computer Vision, Image Analysis, Google Cloud Platform, Deep Learning, Real Time Data, Python Programming, Applied Machine Learning, Development Environment, Machine Learning Algorithms, Data Processing, Performance Tuning, Data Collection, Software Installation