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: PyTorch (Machine Learning Library), Text Mining, Artificial Neural Networks, Natural Language Processing, Deep Learning, Applied Machine Learning, Network Architecture, Time Series Analysis and Forecasting, Machine Learning, Data Processing

  • Status: Preview

    Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Analysis, Machine Learning, Algorithms

  • Status: Preview

    Skills you'll gain: Responsible AI, Generative AI, Data Ethics, Data Governance, Governance, Artificial Intelligence, Machine Learning, Ethical Standards And Conduct, Organizational Strategy, Benchmarking, Emerging Technologies

  • Skills you'll gain: Fraud detection, Feature Engineering, Exploratory Data Analysis, Real Time Data, Applied Machine Learning, MLOps (Machine Learning Operations), Application Deployment, Jupyter, Data Analysis, System Monitoring, Data Warehousing, Machine Learning

  • Skills you'll gain: Google Gemini, Google Cloud Platform, Cloud Management, Applied Machine Learning, Big Data, Jupyter, Cloud Applications, LLM Application, Text Mining, Statistical Reporting, Machine Learning, SQL

  • Skills you'll gain: Jupyter, MLOps (Machine Learning Operations), Google Cloud Platform, Virtual Machines, Machine Learning

  • Status: Preview

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Machine Learning Algorithms, Machine Learning, Algorithms, Responsible AI, Data Ethics, Supervised Learning, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Training Programs, Ethical Standards And Conduct

  • Status: Free Trial

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

  • Status: Free

    Skills you'll gain: Alteryx, Predictive Modeling, Scripting, R Programming, Predictive Analytics, HR Tech, Data Science, Advanced Analytics, Scripting Languages, R (Software), Trend Analysis, Exploratory Data Analysis, Applied Machine Learning, Data Manipulation, Data Analysis, Employee Retention, Data Cleansing, Data Transformation, Risk Modeling, Machine Learning

  • Skills you'll gain: Big Data, Predictive Modeling, Google Cloud Platform, Applied Machine Learning, Data Processing, Forecasting, Data Management, Machine Learning

  • Status: Preview

    Northeastern University

    Skills you'll gain: Generative AI, Large Language Modeling, Supervised Learning, Artificial Intelligence, Responsible AI, Machine Learning, Healthcare Industry Knowledge, Data Ethics, AI Personalization, Predictive Analytics, Health Informatics, Data Collection, Health Information Management

  • Status: Free Trial

    Skills you'll gain: Digital Transformation, Data Ethics, Machine Learning, OpenAI, Responsible AI, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Technology Strategies, Technology Solutions, ChatGPT, Business Ethics, Emerging Technologies, Sociology, Social Sciences, Business Technologies, Blockchain, Generative AI Agents, Algorithms, Social Media, Innovation

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