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: New
    Status: Free Trial

    Skills you'll gain: Data Ethics, Generative AI, LLM Application, Artificial Intelligence, Data Structures, Data Science, Machine Learning

  • Status: Free Trial

    Skills you'll gain: Exploratory Data Analysis, Keras (Neural Network Library), Data Processing, Data Analysis, Image Analysis, Deep Learning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Computer Vision, Data Visualization, Machine Learning, Performance Tuning

  • Status: Preview

    Skills you'll gain: Predictive Modeling, Data Visualization, Statistical Analysis, Data Manipulation, Data Analysis, Data Science, Pandas (Python Package), Data Visualization Software, Statistics, Data Wrangling, Data Cleansing, Data Processing, Data-Driven Decision-Making, Business Analytics, Exploratory Data Analysis, Machine Learning

  • Status: New
    Status: Preview

    Skills you'll gain: Unsupervised Learning, SPSS, Statistical Machine Learning, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Statistical Analysis, Data Mining, Data Cleansing, Data Analysis, Data Manipulation, Statistical Methods

  • Status: Free Trial

    Skills you'll gain: Data Ethics, Policy Analysis, Case Studies, Political Sciences, Data Analysis, Public Administration, Analytics, Data Presentation, Data-Driven Decision-Making, Ethical Standards And Conduct, R Programming, Machine Learning, Predictive Modeling

  • Status: Free Trial

    Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Generative AI, Deep Learning, Dimensionality Reduction, Text Mining, Network Model, Unsupervised Learning, Supervised Learning, Google Cloud Platform, Machine Learning, Computer Vision, Flask (Web Framework), Application Deployment

  • Status: Free Trial

    University of Maryland, College Park

    Skills you'll gain: Pay Per Click Advertising, Marketing Analytics, Web Analytics, Search Engine Optimization, Analytics, Search Engine Marketing, Keyword Research, Digital Marketing, Data-Driven Decision-Making, A/B Testing, Marketing Effectiveness, Online Advertising, Data Analysis, Contextual Advertising, Big Data, Customer Analysis, Key Performance Indicators (KPIs), Customer Data Management, Predictive Analytics, Machine Learning

  • Skills you'll gain: Web Scraping, Real Time Data, OpenAI, Natural Language Processing, Python Programming, Web Applications, Generative AI, Application Development, Machine Learning

  • Status: Free Trial

    University of California, Irvine

    Skills you'll gain: Artificial Intelligence, Machine Learning, Data Science, Data Analysis, Data Architecture, Needs Assessment, Big Data, System Requirements, Analytical Skills, Business Analysis, Cloud Computing Architecture, Cloud Engineering

  • Skills you'll gain: Data Cleansing, Data Manipulation, Advanced Analytics, Applied Machine Learning, Data Wrangling, Fraud detection, Data Transformation, Predictive Modeling, Data Processing, Machine Learning, Machine Learning Algorithms, Sampling (Statistics), Data Mining, Data Integration, Database Management, Workflow Management, Complex Problem Solving

  • Status: Preview

    Skills you'll gain: Data Science, Data Processing, Applied Machine Learning, Machine Learning, Supervised Learning, Geographic Information Systems, Big Data, Data Visualization, Data Analysis, Data Integration, Amazon Web Services, Cloud Computing, Matlab, Predictive Modeling, Classification And Regression Tree (CART), Regression Analysis

  • Status: Free Trial

    Skills you'll gain: Tensorflow, PyTorch (Machine Learning Library), Natural Language Processing, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Data Analysis

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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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