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: Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Deep Learning, Applied Machine Learning, Natural Language Processing

  • Status: Preview

    Skills you'll gain: Generative AI, Generative Model Architectures, Keras (Neural Network Library), Tensorflow, Large Language Modeling, Deep Learning, Applied Machine Learning, Machine Learning

  • Status: Free Trial

    Skills you'll gain: Data Access, Machine Learning, Google Cloud Platform, Data Transformation, SQL, Applied Machine Learning, Big Data, Dashboard, Database Management, Data Cleansing, Predictive Modeling, Data Warehousing, Cloud Infrastructure, Data Analysis, Data Visualization Software, Data Architecture, Data Integration, Exploratory Data Analysis, Deep Learning, Query Languages

  • Status: Free Trial

    Fundação Instituto de Administração

    Skills you'll gain: Predictive Analytics, Customer Relationship Management, Customer Data Management, Data-Driven Decision-Making, Applied Machine Learning, Artificial Intelligence, Machine Learning, Deep Learning, Artificial Neural Networks, Supervised Learning, Unsupervised Learning

  • Status: New
    Status: Free

    Skills you'll gain: Prompt Engineering, Multimodal Prompts, Prompt Engineering Tools, Generative AI, Image Analysis, Computer Vision, AI Personalization, Applied Machine Learning

  • Skills you'll gain: Google Cloud Platform, Text Mining, Applied Machine Learning, Cloud API, Unstructured Data, Cloud Computing

  • Status: Preview

    Skills you'll gain: CI/CD, Apache Airflow, Data Pipelines, MLOps (Machine Learning Operations), Tensorflow, Continuous Deployment, Google Cloud Platform, Machine Learning Methods, Continuous Integration, Metadata Management, PyTorch (Machine Learning Library), Applied Machine Learning, Feature Engineering, Containerization, Scalability, Data Validation

  • Status: Preview

    Skills you'll gain: Data Ethics, Responsible AI, Machine Learning, Game Theory, Algorithms, Applied Machine Learning, Artificial Intelligence, Predictive Modeling, Data Quality

  • Skills you'll gain: Real Time Data, Scalability, Data Pipelines, Applied Machine Learning, MLOps (Machine Learning Operations), Machine Learning

  • Status: Free Trial

    Skills you'll gain: Google Gemini, Generative AI, Predictive Modeling, Applied Machine Learning, Google Cloud Platform, Big Data, Artificial Intelligence and Machine Learning (AI/ML), SQL, Python Programming, Customer Relationship Management

  • Skills you'll gain: Feature Engineering, Tensorflow, MLOps (Machine Learning Operations), Data Processing, Keras (Neural Network Library), Data Pipelines, Data Transformation, Machine Learning, Applied Machine Learning, Data Modeling, Statistical Methods

  • Status: New
    Status: Preview

    Skills you'll gain: Generative AI, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Application Frameworks, Tensorflow, Applied Machine Learning, Performance Tuning, Hardware Architecture, Computer Hardware, Algorithms, Scalability