Artificial Intelligence and Machine Learning (AI/ML)

Artificial Intelligence and Machine Learning (AI/ML) refers to the science of making computers mimic human intelligence processes, learning from experiences, adjusting to new inputs, and performing human-like tasks. Coursera's AI/ML catalogue equips you with comprehensive knowledge on these rapidly growing fields. You'll learn about the foundational concepts of AI/ML, including the design of intelligent agents, problem-solving, and learning from observation. The catalogue also delves into advanced topics such as neural networks, deep learning, natural language processing, and reinforcement learning. By mastering these AI/ML concepts, you'll be prepared to develop and deploy AI systems, design intelligent agents, and create machine learning models for various applications in the tech industry.
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Results for "artificial intelligence and machine learning (ai/ml)"

  • Status: New
    Status: Preview

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Business Analytics, Data Literacy, Data Analysis, Data Cleansing, Business Intelligence, Data Quality, Business Ethics, Artificial Neural Networks, Machine Learning, Deep Learning, Data Science, Predictive Modeling, Python Programming, Unsupervised Learning

  • Status: Preview

    Skills you'll gain: Reinforcement Learning, Game Theory, Artificial Intelligence and Machine Learning (AI/ML), Operations Research, Machine Learning, Markov Model, Deep Learning, Algorithms, Decision Support Systems, Simulations, Mathematical Modeling, Probability, Statistical Methods

  • Status: Free Trial

    Skills you'll gain: Responsible AI, Anomaly Detection, Computer Vision, Microsoft Azure, Data Ethics, Artificial Intelligence, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning

  • Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Microsoft Azure, Applied Machine Learning, Python Programming, Machine Learning, Machine Learning Algorithms, Data Science, Image Analysis, Computer Vision, Application Deployment, Natural Language Processing, Application Programming Interface (API)

  • Status: Free Trial

    Skills you'll gain: Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Debugging, Data-Driven Decision-Making, Artificial Neural Networks, Performance Tuning

  • Status: New
    Status: Free Trial

    Skills you'll gain: MLOps (Machine Learning Operations), Microsoft Azure, Prompt Engineering, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Large Language Modeling, Continuous Monitoring, Generative AI, Performance Tuning, Machine Learning

  • Status: Free Trial

    University of California, Davis

    Skills you'll gain: Data Ethics, Artificial Intelligence, Research, Natural Language Processing, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Research Methodologies, Social Sciences, Responsible AI, Analytics, Machine Learning, Data Mining, Case Studies, Algorithms

  • Status: Free Trial

    Skills you'll gain: Responsible AI, Large Language Modeling, Generative AI, Data Ethics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Applied Machine Learning, Predictive Modeling, Image Analysis, Machine Learning, Visualization (Computer Graphics), Deep Learning, Plot (Graphics), Artificial Neural Networks

  • Status: Free Trial

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), NumPy, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Python Programming, Artificial Neural Networks, Data Manipulation, Programming Principles, Tensorflow, Regression Analysis, Machine Learning, Computer Programming, Integrated Development Environments

  • Status: Free Trial

    Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Data Quality, Technical Management, Applied Machine Learning, Project Management, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Software Development Life Cycle, Machine Learning, Data Cleansing, Data Pipelines, Technical Design, Technology Solutions, Systems Design, Data Collection, Data Science, Systems Architecture, Feature Engineering, System Monitoring

  • Status: Free Trial

    Stanford University

    Skills you'll gain: Health Informatics, Clinical Data Management, Healthcare Ethics, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Data Collection, Applied Machine Learning, Application Deployment, Health Care Procedure and Regulation, Data Ethics, Healthcare Industry Knowledge, Performance Tuning, Feature Engineering, Risk Modeling

  • Status: Free Trial

    Skills you'll gain: Shiny (R Package), Deep Learning, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Classification And Regression Tree (CART), Unsupervised Learning, Predictive Modeling, Regression Analysis, Dimensionality Reduction, Network Architecture, Interactive Data Visualization, Time Series Analysis and Forecasting, Data Processing

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