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.
170credentials
1online degree
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Find the best Machine Learning course for your goals

  • Status: New
    Status: Free Trial

    Skills you'll gain: Generative AI, AI Product Strategy, Responsible AI, Machine Learning, Innovation, Critical Thinking

  • Status: Free Trial

    Skills you'll gain: Tensorflow, Natural Language Processing, Generative AI, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Text Mining, Applied Machine Learning, Machine Learning

  • Status: Free Trial

    Skills you'll gain: Tensorflow, Time Series Analysis and Forecasting, Keras (Neural Network Library), Deep Learning, Predictive Modeling, Artificial Neural Networks, Machine Learning Methods, Forecasting, Data Processing, Machine Learning

  • Status: New
    Status: Preview

    Skills you'll gain: Technical Communication, Technical Product Management, Program Evaluation, Performance Metric, Data Analysis, Agile Methodology, Project Management, Analytics, Stakeholder Communications, Communication, Data-Driven Decision-Making, Machine Learning, Large Language Modeling, R Programming, Data Visualization

  • Status: Preview

    Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Data Governance, Google Cloud Platform, Tensorflow, Predictive Modeling, Data Pipelines, Machine Learning, Continuous Monitoring

  • Status: Free Trial

    University of Illinois Urbana-Champaign

    Skills you'll gain: Deep Learning, Health Informatics, Image Analysis, Generative Model Architectures, Machine Learning, Applied Machine Learning, Health Care, Artificial Neural Networks, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Graph Theory, Computer Vision, Tensorflow, PyTorch (Machine Learning Library), Predictive Modeling, Medical Science and Research, Unsupervised Learning, Program Development, Big Data

  • Skills you'll gain: Test Driven Development (TDD), Image Analysis, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Machine Learning, Python Programming, Development Environment, Jupyter, NumPy, Software Installation

  • Skills you'll gain: Calculus, Applied Mathematics, NumPy, Tensorflow, Machine Learning, Python Programming, Derivatives, Algorithms, Development Environment

  • Status: Free Trial

    Illinois Tech

    Skills you'll gain: Deep Learning, Generative AI, Image Analysis, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Network Architecture, Tensorflow, Computer Vision, Natural Language Processing, Machine Learning, Performance Tuning

  • Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Exploratory Data Analysis, Classification And Regression Tree (CART), Feature Engineering, Random Forest Algorithm, Data Processing, Statistical Programming, Predictive Modeling, Data Manipulation

  • Status: New
    Status: Preview

    Skills you'll gain: Predictive Analytics, Regression Analysis, Predictive Modeling, Machine Learning, Supervised Learning, Forecasting, Case Studies, Business Analytics, Statistical Modeling, Algorithms

  • Status: New
    Status: Free Trial

    Skills you'll gain: Responsible AI, Incident Response, Application Security, Security Engineering, Threat Modeling, Cybersecurity, MLOps (Machine Learning Operations), Security Controls, Information Systems Security, Artificial Intelligence and Machine Learning (AI/ML), Security Strategy, Continuous Monitoring, Identity and Access Management, Cloud Security, Vulnerability Assessments, Hardening, Threat Detection, Artificial Intelligence, Penetration Testing, Machine Learning

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Gain the knowledge and skills you need to advance.

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

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

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