Machine Learning

Machine Learning is a branch of artificial intelligence that automates analytical model building, enabling systems to learn and improve from experience without being explicitly programmed. Coursera's Machine Learning catalogue empowers you to understand, design, and apply powerful algorithms and statistical models to make predictions or decisions without human intervention. You'll learn about various forms of learning, such as supervised, unsupervised, and reinforcement learning, along with techniques such as regression, classification, clustering, and deep learning. Furthermore, you'll gain insights into the ethical and societal considerations of Machine Learning and its applications across various industries like healthcare, finance, and entertainment.
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Find the best Machine Learning course for your goals

  • Skills you'll gain: Prompt Engineering, Generative AI, OpenAI, ChatGPT, Scripting, LLM Application, Python Programming, Application Programming Interface (API), Application Development, Machine Learning, Software Engineering

  • Skills you'll gain: Tensorflow, Natural Language Processing, Python Programming, Generative AI, Applied Machine Learning, Machine Learning Methods, Text Mining, Artificial Neural Networks, Machine Learning, Deep Learning, Data Processing

  • Status: New
    Status: Free Trial

    Skills you'll gain: NoSQL, Machine Learning Algorithms, Big Data, Apache Hadoop, Deep Learning, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Apache Spark, Generative AI, Data Infrastructure, Data Cleansing, Real Time Data, Apache Kafka, Data Management, Artificial Neural Networks, Keras (Neural Network Library), PyTorch (Machine Learning Library), Machine Learning

  • 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: Splunk, Security Information and Event Management (SIEM), Data Modeling, Role-Based Access Control (RBAC), System Monitoring, Dashboard, Incident Response, Threat Detection, User Accounts, Data Transformation, Cybersecurity, Machine Learning, Systems Administration, Performance Tuning, Data Visualization, Event Monitoring, Continuous Monitoring, Data Manipulation, Data Analysis, Statistical Analysis

  • Status: Preview

    Skills you'll gain: Artificial Intelligence, Image Analysis, Reinforcement Learning, Computer Vision, Machine Learning, Semantic Web, Natural Language Processing, Embedded Systems, Data Ethics, Supervised Learning, Artificial Neural Networks, Deep Learning

  • Status: Preview

    University of California, Santa Cruz

    Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Artificial Neural Networks, Ethical Standards And Conduct, Network Model, Machine Learning, Supervised Learning, Reinforcement Learning, Policy Development

  • Status: Free Trial

    Skills you'll gain: AWS SageMaker, Predictive Modeling, Applied Machine Learning, Data Modeling, Amazon Web Services, Machine Learning, Machine Learning Algorithms, Performance Tuning

  • Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Responsible AI, Security Testing, Predictive Modeling, Verification And Validation, Data Validation, Machine Learning

  • Skills you'll gain: Data Cleansing, Apache Spark, PySpark, Data Manipulation, Applied Machine Learning, Data Processing, Classification And Regression Tree (CART), Predictive Modeling, Data Science, Machine Learning, Google Cloud Platform, Python Programming

  • Status: Free Trial

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Deep Learning, Unsupervised Learning, Natural Language Processing, Responsible AI, Time Series Analysis and Forecasting, Data Visualization, Supervised Learning, Image Analysis, Machine Learning, Text Mining, Computer Vision, Data Processing, Artificial Intelligence, Scatter Plots, Data Visualization Software, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML)

  • Status: Free Trial

    Skills you'll gain: Extract, Transform, Load, Data Analysis, Jupyter, Data Visualization, Unsupervised Learning, Applied Machine Learning, Statistical Analysis, Exploratory Data Analysis, Machine Learning, Business Analytics, Analytical Skills, Data Manipulation, Data Cleansing, Data Processing, Trend Analysis, Data Storytelling, Project Scoping, Business Priorities, Business Analysis, Classification And Regression Tree (CART)

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Gain the knowledge and skills you need to advance.

  • This role has a $169,700 median salary ¹.

    description:

    A Machine Learning Engineer builds and optimizes algorithms that enable computers to learn from data, using large datasets and neural networks.

    This role has a $169,700 median salary ¹.

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  • This role has a $146,304 median salary ¹.

    description:

    A Data Scientist analyzes large datasets to uncover insights, using statistics, machine learning, and visualization to inform business strategies.

    This role has a $146,304 median salary ¹.

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