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

    University of Maryland, College Park

    Skills you'll gain: Apache Hadoop, Machine Learning Methods, Customer Analysis, MarTech, Marketing Analytics, Digital Marketing, Marketing Strategies, Big Data, Machine Learning, Artificial Neural Networks, Performance Review, Machine Learning Algorithms, Deep Learning, Artificial Intelligence, Predictive Analytics

  • Status: Free Trial

    Multiple educators

    Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Pandas (Python Package), Correlation Analysis, Web Scraping, NumPy, Data Import/Export, Probability & Statistics, Programming Principles, Predictive Modeling, Big Data, Computer Programming Tools, Data Science, Unsupervised Learning, Machine Learning, Project Management

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Keras (Neural Network Library), Exploratory Data Analysis, Data Quality, Data Cleansing, Google Cloud Platform, Machine Learning, Data Pipelines, Data Strategy, Supervised Learning, Unsupervised Learning, Dataflow, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Data Processing, Artificial Neural Networks, Applied Machine Learning, Deep Learning

  • Status: Free Trial

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Computer Vision, Supervised Learning, Machine Learning, Network Architecture

  • Status: Free Trial

    Skills you'll gain: Predictive Modeling, Time Series Analysis and Forecasting, Predictive Analytics, Statistical Modeling, Data Modeling, Forecasting, Supervised Learning, Machine Learning Software, Regression Analysis, Feature Engineering, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Unsupervised Learning, Statistical Analysis, Machine Learning, Jupyter

  • Status: Free Trial

    Skills you'll gain: Data Literacy, Data Mining, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Deep Learning, Machine Learning, Artificial Intelligence

  • Status: Free

    Skills you'll gain: PySpark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI, Data Manipulation, Pandas (Python Package), Data Transformation, Unsupervised Learning, Applied Machine Learning, Machine Learning

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Tensorflow, Google Cloud Platform, Data Quality, Data Cleansing, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Machine Learning, Exploratory Data Analysis, Supervised Learning, Data Pipelines, MLOps (Machine Learning Operations), Dataflow, Data Transformation, Big Data, Artificial Neural Networks, Deep Learning, Responsible AI, Applied Machine Learning, Performance Tuning

  • Status: Free

    Skills you'll gain: Business Leadership, Strategic Leadership, Strategic Decision-Making, Business Transformation, Applied Machine Learning, Business Strategy, Data-Driven Decision-Making, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Technology Roadmaps

  • Status: Free

    Skills you'll gain: Tidyverse (R Package), Data Visualization, Clinical Data Management, Data Manipulation, Predictive Modeling, R Programming, Data Processing, Data Cleansing, Predictive Analytics, Data Pipelines, Feature Engineering, Applied Machine Learning, Machine Learning, Statistical Modeling, Performance Tuning, Hospital Medicine

  • Skills you'll gain: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Predictive Analytics, Machine Learning Algorithms, Data Visualization, Machine Learning, Programming Principles, Data Manipulation, Feature Engineering, Data Cleansing, Supervised Learning, Python Programming, Data Science, Data Processing, NumPy, Pandas (Python Package)

  • Status: New
    Status: Free Trial

    Skills you'll gain: Java, Java Programming, Apache Spark, Applied Machine Learning, Deep Learning, Data Processing, Application Deployment, Natural Language Processing, Data Cleansing, Machine Learning Algorithms, Machine Learning, Feature Engineering, Data Transformation, Scalability, Artificial Neural Networks, Regression Analysis, Interoperability

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

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