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

  • Status: Preview

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

  • Skills you'll gain: Data Ethics, Responsible AI, Data Analysis, Data Visualization Software, Artificial Intelligence, Machine Learning, Applied Machine Learning

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

  • Skills you'll gain: Data Analysis, Big Data, Analytics, Applied Machine Learning, Google Cloud Platform, Predictive Modeling, Machine Learning

  • Skills you'll gain: Big Data, Analytics, Data Analysis, Applied Machine Learning, MLOps (Machine Learning Operations), Google Cloud Platform, Machine Learning, Predictive Modeling, SQL

  • Status: New
    Status: Preview

    Skills you'll gain: Feature Engineering, SAS (Software), Classification And Regression Tree (CART), Predictive Modeling, Statistical Modeling, Regression Analysis, Predictive Analytics, Applied Machine Learning, Statistical Methods, Data Processing, Data Manipulation, Data Cleansing, Data Transformation, Statistical Analysis, Exploratory Data Analysis

  • Skills you'll gain: Predictive Analytics, Big Data, Predictive Modeling, Advanced Analytics, Analytics, Applied Machine Learning, Google Cloud Platform, MLOps (Machine Learning Operations), Data Analysis, Machine Learning Methods, Data Modeling

  • Skills you'll gain: Google Gemini, Customer Relationship Management, Generative AI, Applied Machine Learning, Big Data, Predictive Modeling, Artificial Intelligence, Query Languages, Data Analysis

  • Skills you'll gain: Looker (Software), Dashboard, Data Analysis, Data Presentation, Data Storytelling, Analytics, SQL, Google Cloud Platform, Big Data, Data Visualization Software, Applied Machine Learning, Data Warehousing, Data-Driven Decision-Making

  • University of Colorado Boulder

    Skills you'll gain: Data Mining, Unsupervised Learning, Supervised Learning, Deep Learning, Machine Learning Algorithms, Statistical Modeling, Applied Machine Learning, Probability, Statistical Inference, Statistical Hypothesis Testing, Service Level, Dimensionality Reduction, Data Warehousing, Data Pipelines, Data Processing, Software Engineering, Regression Analysis, Performance Testing, Data Science, Bash (Scripting Language)

  • University of Colorado Boulder

    Skills you'll gain: Power Electronics, Tensorflow, Computer Vision, Control Systems, Display Devices, Computer Displays, Image Analysis, Electronic Systems, Systems Design, Debugging, Artificial Neural Networks, Applied Machine Learning, Electrical Engineering, USB, Technical Design, Deep Learning, Machine Learning Methods, Electrical Systems, Computer Programming Tools, Embedded Systems

  • University of Pittsburgh

    Skills you'll gain: LLM Application, Tool Calling, Database Systems, Data Visualization, Database Design, Apache Spark, Predictive Modeling, Large Language Modeling, Database Management, Unsupervised Learning, Data Ethics, Bayesian Statistics, Data Visualization Software, Cloud Computing, Linear Algebra, Data Governance, Regression Analysis, Exploratory Data Analysis, Applied Machine Learning, Data Analysis

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