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: Free Trial

    Skills you'll gain: Rmarkdown, Shiny (R Package), Deep Learning, Data Import/Export, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Plotly, Applied Machine Learning, Machine Learning Algorithms, Web Scraping, Artificial Intelligence, Dimensionality Reduction, Interactive Data Visualization, Statistical Analysis, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML)

  • Status: Free Trial

    Skills you'll gain: Health Informatics, Decision Support Systems, Process Mapping, Business Intelligence, Business Analytics, Predictive Analytics, Data-Driven Decision-Making, Customer experience strategy (CX), Advanced Analytics, Artificial Intelligence and Machine Learning (AI/ML), Analytics, Process Analysis, Applied Machine Learning, Healthcare Industry Knowledge, Machine Learning Algorithms

  • Status: Free Trial

    Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Applied Machine Learning, Unstructured Data, Jupyter, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Deep Learning, Predictive Modeling, Natural Language Processing, Image Analysis

  • Status: Free Trial

    Skills you'll gain: Google Cloud Platform, Unstructured Data, Tensorflow, MLOps (Machine Learning Operations), Applied Machine Learning, Data Pipelines, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Jupyter, Natural Language Processing, Image Analysis

  • Status: Preview

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, DevOps, Applied Machine Learning, Continuous Deployment, Automation, Continuous Integration, Continuous Monitoring, Scalability, Data Management

  • Status: Free

    Skills you'll gain: Applied Machine Learning, Jupyter, Machine Learning, Predictive Modeling, Data Science, Python Programming, Predictive Analytics, Data Analysis

  • Skills you'll gain: Fraud detection, Feature Engineering, Big Data, Anomaly Detection, Google Cloud Platform, Unsupervised Learning, Applied Machine Learning, Decision Tree Learning, Supervised Learning, Predictive Modeling, Machine Learning

  • Skills you'll gain: Generative AI, Continuous Monitoring, MLOps (Machine Learning Operations), Business Metrics, Applied Machine Learning, Google Cloud Platform, Predictive Modeling, Verification And Validation, Responsible AI, Machine Learning

  • Status: Free Trial

    Skills you'll gain: Google Cloud Platform, Deep Learning, Unstructured Data, Tensorflow, Data Pipelines, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Cloud API, SQL, Jupyter

  • Status: Free Trial

    Skills you'll gain: Text Mining, Applied Machine Learning, Network Analysis, Data Visualization Software, Financial Data, Market Data, Unstructured Data, Web Scraping, Social Network Analysis, Advanced Analytics, Financial Market, Financial Analysis, Investments, Data Mining, Asset Management, Python Programming, Predictive Analytics, Data Analysis, Risk Analysis, Consumer Behaviour

  • Skills you'll gain: Supervised Learning, Unsupervised Learning, Artificial Intelligence, Data Ethics, Linear Algebra, Dimensionality Reduction, Responsible AI, Machine Learning Methods, Machine Learning, Natural Language Processing, Applied Machine Learning, Semantic Web, Classification And Regression Tree (CART), Bayesian Statistics, Machine Learning Algorithms, Statistical Machine Learning, Predictive Modeling, Scientific Visualization, Unstructured Data, Probability

  • Status: Free Trial

    Skills you'll gain: Data Warehousing, Google Cloud Platform, Big Data, Apache Spark, Data Integration, Dataflow, SQL, Data Pipelines, Metadata Management, Data Management, Real Time Data, Tensorflow, Data Science, Command-Line Interface, Applied Machine Learning, Cloud-Based Integration, Apache Hadoop, Data Mining, Query Languages, Machine Learning

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