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

  • Status: Free Trial

    Skills you'll gain: Computer Vision, Image Analysis, Anomaly Detection, Applied Machine Learning, Deep Learning, Image Quality, Artificial Neural Networks, Unsupervised Learning, Matlab, Application Deployment, PyTorch (Machine Learning Library), Machine Learning, Motion Graphics, Supervised Learning, Data Visualization, Automation, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Medical Imaging

  • Skills you'll gain: Keras (Neural Network Library), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Python Programming, Performance Tuning, Machine Learning Algorithms, Machine Learning

  • Status: Free Trial

    Skills you'll gain: FinTech, Emerging Technologies, Market Analysis, Fraud detection, Real Estate, Insurance, Artificial Intelligence, Innovation, Market Trend, Machine Learning, Commercial Real Estate, Case Studies, Customer experience improvement, Automation

  • Skills you'll gain: R Programming, Predictive Analytics, Applied Machine Learning, Analytics, Data Science, Data Processing, Feature Engineering, Machine Learning, Telemarketing, Application Deployment

  • Skills you'll gain: Scikit Learn (Machine Learning Library), Tensorflow, Cloud Computing, Classification And Regression Tree (CART), Supervised Learning, Applied Machine Learning, Machine Learning Methods, Python Programming, Pandas (Python Package), Data Science, Machine Learning, Data Visualization, Data Processing

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

  • Status: Free Trial

    University of Illinois Urbana-Champaign

    Skills you'll gain: Marketing Analytics, AI Personalization, Responsible AI, Data Ethics, Customer Analysis, Advanced Analytics, Marketing, Marketing Effectiveness, Analytics, Predictive Modeling, Social Network Analysis, Market Analysis, Data Analysis, Customer Insights, Predictive Analytics, Consumer Behaviour, Marketing Strategy and Techniques, Digital Marketing, Machine Learning, Generative AI

  • Skills you'll gain: Generative AI, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Artificial Intelligence, Big Data, Cloud Infrastructure, MLOps (Machine Learning Operations), Machine Learning, Natural Language Processing, Predictive Modeling

  • Status: Free

    Infosec

    Skills you'll gain: Responsible AI, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Governance, Law, Regulation, and Compliance, Program Development, Information Privacy, Legal Strategy, Data Security, Generative AI, Machine Learning, Computer Security, Risk Management

  • Status: Free Trial

    Skills you'll gain: Tensorflow, Generative Model Architectures, Deep Learning, Image Analysis, Bayesian Statistics, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Dimensionality Reduction

  • Status: Free Trial

    Skills you'll gain: MongoDB, NoSQL, Databases, PostgreSQL, Database Management Systems, Relational Databases, SQL, Database Design, Applied Machine Learning, Artificial Intelligence, Database Architecture and Administration, Database Management, LLM Application, Natural Language Processing, Apache Cassandra, Text Mining, Generative AI, Node.JS, Machine Learning, Data Science

  • Status: Free Trial

    Skills you'll gain: Applied Machine Learning, Unsupervised Learning, Regression Analysis, Machine Learning Algorithms, Linear Algebra, Machine Learning, Predictive Modeling, Statistical Modeling, Supervised Learning, Feature Engineering, Classification And Regression Tree (CART), Performance Tuning, Dimensionality Reduction, Algorithms

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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.

    Offered by

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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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