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
432courses

Explore the Applied Machine Learning Course Catalog

  • Skills you'll gain: AWS SageMaker, Applied Machine Learning, Amazon Web Services, No-Code Development, Machine Learning, Supervised Learning, Predictive Modeling, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Version Control, Data Validation, Data Cleansing

  • Status: Preview

    Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Cloud Infrastructure, Cloud Platforms, Artificial Intelligence, Applied Machine Learning, Machine Learning, Natural Language Processing, Automation

  • Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Workflow Management, Data Governance, Google Cloud Platform, Data Pipelines, Machine Learning Methods, Applied Machine Learning, Data Processing, Feature Engineering, Machine Learning

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Machine Learning, Applied Machine Learning, Data Cleansing, Supervised Learning, Data Strategy, MLOps (Machine Learning Operations), Machine Learning Algorithms, Data Processing, Dataflow, Deep Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics

  • Status: New

    Skills you'll gain: Pandas (Python Package), Web Scraping, Python Programming, Jupyter, Image Analysis, Text Mining, Data Manipulation, Computer Vision, Data Analysis, Natural Language Processing, Data Visualization Software, Data Science, Applied Machine Learning, Unstructured Data

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

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Tensorflow, Google Cloud Platform, Data Quality, Keras (Neural Network Library), Exploratory Data Analysis, Data Cleansing, Machine Learning Methods, Applied Machine Learning, Supervised Learning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, MLOps (Machine Learning Operations), Responsible AI, PyTorch (Machine Learning Library), Jupyter, Artificial Neural Networks, Dataflow, Machine Learning

  • Status: Free Trial

    Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning, Unstructured Data, Advanced Analytics, Predictive Modeling, Jupyter, Data Pipelines, Artificial Intelligence, Natural Language Processing

  • 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: 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: Google Cloud Platform, Unstructured Data, Tensorflow, MLOps (Machine Learning Operations), Applied Machine Learning, Jupyter, Big Data, Data Pipelines, Machine Learning, Natural Language Processing, Artificial Intelligence, Image Analysis

  • Status: Preview

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