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

  • Skills you'll gain: Image Analysis, Cloud API, Google Cloud Platform, Applied Machine Learning, Computer Vision, Application Programming Interface (API), Machine Learning

  • Status: Free Trial

    Skills you'll gain: Data Storytelling, Feature Engineering, Data Visualization, Supervised Learning, Dimensionality Reduction, Data Integration, Interactive Data Visualization, Exploratory Data Analysis, Data Import/Export, Technical Communication, Data Analysis, Applied Machine Learning, Data Visualization Software, Matlab, Regression Analysis, Data Processing, Descriptive Statistics, Data Cleansing, Predictive Modeling, Data Manipulation

  • Status: Preview

    Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Tensorflow, Python Programming, Computational Thinking, Applied Machine Learning, Deep Learning, Text Mining

  • Status: New
    Status: Free Trial

    Skills you'll gain: Natural Language Processing, Data Ethics, Responsible AI, Text Mining, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Time Series Analysis and Forecasting, Data Analysis, Machine Learning, Unstructured Data, Data Cleansing, Data Processing, Applied Machine Learning, Deep Learning, Unified Modeling Language, Machine Learning Algorithms

  • Skills you'll gain: Generative AI, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Continuous Deployment, System Monitoring, Real Time Data, Feature Engineering, Continuous Monitoring, Applied Machine Learning, Performance Tuning, Advanced Analytics, Artificial Intelligence, Machine Learning, Data Cleansing

  • Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

  • Status: Preview

    Skills you'll gain: Internet Of Things, Big Data, Wireless Networks, Predictive Analytics, Applied Machine Learning, Data-Driven Decision-Making, Environmental Monitoring, Sustainable Technologies, Machine Controls, Real Time Data, Automation, Data Analysis, Data Collection

  • Status: Preview

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Debugging, Deep Learning, Machine Learning, MLOps (Machine Learning Operations), Data Science, Artificial Neural Networks, Test Case, Analysis, Algorithms, Performance Testing, Performance Tuning

  • Status: Free Trial

    University of Minnesota

    Skills you'll gain: Spreadsheet Software, Applied Machine Learning, Exploratory Data Analysis, Analysis, System Design and Implementation, Solution Design, Machine Learning Algorithms, Algorithms

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Responsible AI, Data Ethics, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Reinforcement Learning, Generative AI, Debugging, Artificial Intelligence, Unsupervised Learning, Machine Learning, Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Applied Machine Learning, Algorithms, Bayesian Statistics, Network Architecture, Linear Algebra

  • Status: Free Trial

    Corporate Finance Institute

    Skills you'll gain: Feature Engineering, Data Import/Export, Matplotlib, Exploratory Data Analysis, Data Science, Regression Analysis, Financial Data, Data Analysis, Business Analytics, Data Cleansing, Data Literacy, Pandas (Python Package), Machine Learning Algorithms, Statistical Visualization, Financial Analysis, Predictive Modeling, Applied Machine Learning, Statistical Modeling, Statistical Analysis, Predictive Analytics

  • Google Cloud

    Skills you'll gain: Artificial Neural Networks, Machine Learning Methods, Deep Learning, Applied Machine Learning, Performance Tuning, Natural Language Processing