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
1online degree
438courses

Explore the Applied Machine Learning Course Catalog

  • 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

  • Skills you'll gain: Applied Machine Learning, Google Cloud Platform, Image Analysis, MLOps (Machine Learning Operations), Computer Vision, Predictive Modeling, Machine Learning, Cloud Storage, Cloud API

  • Status: Free

    Skills you'll gain: Microsoft Azure, Unsupervised Learning, Applied Machine Learning, Predictive Analytics, Data Transformation, Cloud Development, Exploratory Data Analysis, Machine Learning Algorithms, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, User Accounts

  • 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: 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

  • 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

  • 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

    University of California San Diego

    Skills you'll gain: Apache Spark, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Graph Theory, Data Pipelines, Database Design, Data Modeling, Regression Analysis, Data Mining, Data Management, Applied Machine Learning, Data Presentation, Scalability, Data Processing, Statistical Analysis, NoSQL, Database Management Systems, MongoDB

  • Status: New
    Status: Free Trial

    Skills you'll gain: Responsible AI, Statistical Modeling, Microsoft Azure, MLOps (Machine Learning Operations), Prompt Engineering, Data Management, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Statistics, Cloud Computing, Application Deployment, Azure Synapse Analytics, Large Language Modeling, Data Pipelines, Generative AI, Data Processing, Machine Learning, Applied Machine Learning, Scalability, Continuous Monitoring

  • Status: Free Trial

    Skills you'll gain: Pandas (Python Package), Matplotlib, NumPy, Data Visualization, Machine Learning Algorithms, Natural Language Processing, Semantic Web, Data Manipulation, Linear Algebra, Seaborn, Deep Learning, Machine Learning, Python Programming, Text Mining, Data Science, Data Processing, Supervised Learning, Applied Machine Learning, Unstructured Data, Markov Model

  • Status: New
    Status: Preview

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

  • 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