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.
123credentials
1online degree
437courses

Explore the Applied Machine Learning Course Catalog

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    DeepLearning.AI

    Skills you'll gain: Natural Language Processing, Deep Learning, Generative AI, Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Algorithms, Network Architecture

  • Skills you'll gain: Data Ethics, AI Personalization, System Requirements, Responsible AI, Machine Learning Algorithms, Innovation, Algorithms, Unsupervised Learning, Quality Assurance, Data-Driven Decision-Making, Applied Machine Learning, Performance Tuning

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Unsupervised Learning, Regression Analysis, Dimensionality Reduction, Data Analysis, Anomaly Detection, Supervised Learning, Machine Learning, Analytics, Predictive Modeling, Statistical Analysis, Applied Machine Learning, Statistical Modeling, Scikit Learn (Machine Learning Library), Classification And Regression Tree (CART), Data Mining, Machine Learning Algorithms, Exploratory Data Analysis, Machine Learning Methods, Feature Engineering, Data Science

  • Status: Free

    Skills you'll gain: Alteryx, Predictive Modeling, Scripting, R Programming, Predictive Analytics, HR Tech, Data Science, Advanced Analytics, Scripting Languages, R (Software), Trend Analysis, Exploratory Data Analysis, Applied Machine Learning, Data Manipulation, Data Analysis, Employee Retention, Data Cleansing, Data Transformation, Risk Modeling, Machine Learning

  • Status: Preview

    DeepLearning.AI

    Skills you'll gain: AI Product Strategy, Business Strategy, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Technology Strategies, Artificial Neural Networks, Applied Machine Learning, Data Science, Deep Learning, Machine Learning, Business Ethics, Recruitment

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    Sungkyunkwan University

    Skills you'll gain: Scalability, Deep Learning, Applied Machine Learning, Data Mining, Data Processing, Machine Learning, Machine Learning Algorithms, Algorithms, Artificial Neural Networks, Data Structures

  • Status: Free Trial

    Skills you'll gain: Apache Spark, Data Warehousing, Extract, Transform, Load, IBM DB2, IBM Cognos Analytics, Big Data, Databases, PostgreSQL, Relational Databases, Data Infrastructure, Data Architecture, NoSQL, Data Pipelines, Applied Machine Learning, MongoDB, SQL, MySQL, Data Analysis, Dashboard, Python Programming

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    Vanderbilt University

    Skills you'll gain: Generative Model Architectures, Generative AI, Prompt Engineering, Applied Machine Learning, LLM Application, Large Language Modeling, Application Deployment, Artificial Intelligence

  • Status: Free Trial

    Skills you'll gain: Responsible AI, Data Ethics, Deep Learning, Debugging, Artificial Intelligence, Machine Learning, Bayesian Statistics, Applied Machine Learning, Artificial Neural Networks, Data-Driven Decision-Making, Information Privacy, Case Studies

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    University of Illinois Urbana-Champaign

    Skills you'll gain: Anomaly Detection, Feature Engineering, Data Ethics, Machine Learning Algorithms, Machine Learning, Statistical Machine Learning, Applied Machine Learning, Supervised Learning, Unsupervised Learning, Scikit Learn (Machine Learning Library), Decision Tree Learning, Exploratory Data Analysis, Regression Analysis, Data Processing

  • Status: Free Trial

    Skills you'll gain: Applied Machine Learning, Machine Learning, Data Storytelling, Stakeholder Engagement, Data Presentation, Stakeholder Communications, MLOps (Machine Learning Operations), Web Applications, Project Closure, Solution Delivery, Data Visualization, Data Science, Data Pipelines, Communication, Automation

  • Status: Free Trial

    Skills you'll gain: Dataflow, Real Time Data, Data Pipelines, Data Warehousing, Google Cloud Platform, Data Lakes, Big Data, Deep Learning, Tensorflow, Feature Engineering, Extract, Transform, Load, Dashboard, Cloud Infrastructure, Apache Spark, Unstructured Data, Apache Airflow, Applied Machine Learning, Data Infrastructure, PySpark, Data Integration

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