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  • Machine Learning

Cours en Apprentissage automatique

Les cours en apprentissage automatique peuvent vous aider à comprendre comment construire, entraîner et analyser des modèles prédictifs. Vous pouvez développer des compétences en préparation des données, choix d'algorithmes, optimisation et évaluation. De nombreux cours utilisent des bibliothèques courantes pour tester des modèles.


Cours et certificats populaires en Apprentissage automatique


  • U

    University of Colorado Boulder

    Master of Science in Artificial Intelligence

    Skills you'll gain: Prompt Engineering, User Story, New Product Development, Model Based Systems Engineering, Model Evaluation, Failure Analysis, Sustainable Business, Data Mining, Field-Programmable Gate Array (FPGA), Delegation Skills, Strategic Decision-Making, Real-Time Operating Systems, Object Oriented Design, Project Schedules, Sampling (Statistics), Proposal Writing, Data Ethics, Sustainability Reporting, Database Design, Agentic systems

    Degree · 1 - 4 Years

    Category: Earn a degree
    Earn a degree
  • D

    Dartmouth College

    Master of Engineering in Computer Engineering

    Skills you'll gain: Natural Language Processing, Field-Programmable Gate Array (FPGA), Technical Communication, Embedded Systems, Digital Signal Processing, Embedded Software, Distributed Computing, Machine Learning Algorithms, Recurrent Neural Networks (RNNs), Image Analysis, Deep Learning, Machine Learning Methods, Engineering Design Process, Experimentation, Convolutional Neural Networks, Hardware Design, Text Mining, Electrical Engineering, Student Support and Services, Computer Engineering

    Degree · 1 - 4 Years

    Category: Earn a degree
    Earn a degree
  • N

    Northeastern University

    Master of Science in Data Analytics Engineering

    Skills you'll gain: Data Storytelling, Generative AI, Text Mining, Data Warehousing, Unsupervised Learning, Database Design, Data Governance, Data Mining, Interactive Data Visualization, Data Presentation, Generative Model Architectures, Web Scraping, Classification Algorithms, PyTorch (Machine Learning Library), Operations Research, Natural Language Processing, NoSQL, Exploratory Data Analysis, Recurrent Neural Networks (RNNs), Time Series Analysis and Forecasting

    Degree · 1 - 4 Years

    Category: Earn a degree
    Earn a degree
  • N

    Northeastern University

    Master of Science in Engineering Management

    Skills you'll gain: Data Storytelling, Software Quality Assurance, Object Oriented Design, Process Mapping, Generative AI, Open Web Application Security Project (OWASP), Text Mining, Systems Development Life Cycle, Database Design, Agile Software Development, Test Automation, Data Governance, Unsupervised Learning, Integration Testing, Cybersecurity, Classification Algorithms, PyTorch (Machine Learning Library), Statistical Hypothesis Testing, User Experience Design, Natural Language Processing

    Degree · 1 - 4 Years

    Category: Earn a degree
    Earn a degree
  • U

    Universidad de los Andes

    Maestría en Gerencia de la Ingeniería

    Skills you'll gain: User Research, Project Management Life Cycle, Reinforcement Learning, Organizational Strategy, Classification Algorithms, Deep Learning, Engineering Management, Technology Strategies, Oral Expression, Systems Thinking, Environmental Social And Corporate Governance (ESG), Feasibility Studies, Infrastructure Security, Financial Statements, Agile Software Development, Data Ethics, Environmental Management Systems, Product Development, Asset Management, Climate Change Mitigation

    Degree · 1 - 4 Years

    Category: Earn a degree
    Earn a degree
  • U

    Universidad de los Andes

    Maestría en Ingeniería de Software

    Skills you'll gain: Supervised Learning, User Story, Unsupervised Learning, LLM Application, User Research, Project Closure, Cloud-Native Computing, Process Analysis, Software Testing, Angular, Data Storytelling, Continuous Deployment, Organizational Strategy, Dashboard Creation, Classification Algorithms, Deep Learning, Game Design, Technology Strategies, Infrastructure As A Service (IaaS), API Design

    Degree · 1 - 4 Years

    Category: Earn a degree
    Earn a degree

What brings you to Coursera today?

  • H

    Heriot-Watt University

    MSc Computer Science

    Skills you'll gain: Software Design, Database Systems, Database Management, Software Architecture, Database Software, Software Testing, Artificial Intelligence, Systems Development Life Cycle, Graph Theory, Database Development, Java Programming, Artificial Intelligence and Machine Learning (AI/ML), Statistical Methods, Computational Logic, Java, Data Visualization, Data Structures, Algorithms, Computer Science, Software Technical Review

    Degree · 1 - 4 Years

    Category: Earn a degree
    Earn a degree
  • U

    University of Colorado Boulder

    Master of Science in Data Science

    Skills you'll gain: Prompt Engineering, User Story, New Product Development, Model Based Systems Engineering, Model Evaluation, Failure Analysis, Sustainable Business, Data Mining, Field-Programmable Gate Array (FPGA), Delegation Skills, Strategic Decision-Making, Real-Time Operating Systems, Object Oriented Design, Project Schedules, Sampling (Statistics), Proposal Writing, Data Ethics, Sustainability Reporting, Database Design, Agentic systems

    Degree · 1 - 4 Years

    Category: Earn a degree
    Earn a degree
  • N

    Northeastern University

    Master of Science in Information Systems

    Skills you'll gain: Database Design, Software Quality Assurance, Object Oriented Design, Process Mapping, Enterprise Architecture, Open Web Application Security Project (OWASP), Data Governance, User Research, Stakeholder Engagement, Systems Development Life Cycle, Algorithms, Agile Software Development, Unified Modeling Language, Test Automation, Integration Testing, Cybersecurity, Responsive Web Design, User Experience Design, UI/UX Strategy, Cascading Style Sheets (CSS)

    Degree · 1 - 4 Years

    Category: Earn a degree
    Earn a degree
  • U

    University of Colorado Boulder

    Master of Science in Electrical and Computer Engineering

    Skills you'll gain: Prompt Engineering, User Story, New Product Development, Model Based Systems Engineering, Model Evaluation, Failure Analysis, Sustainable Business, Data Mining, Field-Programmable Gate Array (FPGA), Delegation Skills, Strategic Decision-Making, Real-Time Operating Systems, Object Oriented Design, Project Schedules, Sampling (Statistics), Proposal Writing, Data Ethics, Sustainability Reporting, Database Design, Agentic systems

    Degree · 1 - 4 Years

    Category: Earn a degree
    Earn a degree
  • I

    Illinois Institute of Technology

    Master of Data Science

    Skills you'll gain: Database Design, Database Systems, Statistical Analysis, Time Series Analysis and Forecasting, Relational Databases, Database Software, Databases, Database Application, Database Management, Database Theory, Data Analysis, NoSQL, Database Management Systems, Database Development, Machine Learning Algorithms, Recurrent Neural Networks (RNNs), Bayesian Statistics, Statistical Inference, Technical Communication, Model Evaluation

    Degree · 1 - 4 Years

    Category: Earn a degree
    Earn a degree
  • O

    O.P. Jindal Global University

    MBA Business Analytics

    Skills you'll gain: Data Storytelling, Operations Management, Design Thinking, Data Visualization, Active Listening, Business Ethics, Working Capital, Database Management, Sampling (Statistics), Environmental Social And Corporate Governance (ESG), Project Estimation, Financial Statements, Business Analytics, Predictive Modeling, Marketing Management, Financial Accounting, Predictive Analytics, Human Resources Management and Planning, Internet Of Things, Big Data

    Degree · 1 - 4 Years

    Category: Earn a degree
    Earn a degree
123

In summary, here are 10 of our most popular machine learning courses

  • Master of Science in Artificial Intelligence: University of Colorado Boulder
  • Master of Engineering in Computer Engineering: Dartmouth College
  • Master of Science in Data Analytics Engineering: Northeastern University
  • Master of Science in Engineering Management: Northeastern University
  • Maestría en Gerencia de la Ingeniería: Universidad de los Andes
  • Maestría en Ingeniería de Software: Universidad de los Andes
  • MSc Computer Science: Heriot-Watt University
  • Master of Science in Data Science: University of Colorado Boulder
  • Master of Science in Information Systems: Northeastern University
  • Master of Science in Electrical and Computer Engineering: University of Colorado Boulder

Frequently Asked Questions about Machine Learning

Machine learning is a subset of artificial intelligence that enables systems to learn from data, identify patterns, and make decisions with minimal human intervention. It is important because it drives innovation across various sectors, from healthcare to finance, by automating processes and providing insights that were previously unattainable. As industries increasingly rely on data-driven decision-making, understanding machine learning becomes essential for staying competitive.‎

A variety of job opportunities exist in the field of machine learning. Positions include machine learning engineer, data scientist, AI researcher, and business intelligence analyst. These roles often require a blend of programming skills, statistical knowledge, and domain expertise. As organizations continue to adopt machine learning technologies, the demand for skilled professionals in this area is expected to grow.‎

To learn machine learning effectively, you should focus on several key skills. Proficiency in programming languages such as Python or R is crucial, along with a solid understanding of statistics and linear algebra. Familiarity with data manipulation and visualization tools, as well as experience with machine learning frameworks like TensorFlow or PyTorch, will also be beneficial. These skills will provide a strong foundation for your machine learning journey.‎

There are many excellent online resources for learning machine learning. Notable options include the IBM Machine Learning Professional Certificate and the Machine Learning with Scikit-learn, PyTorch & Hugging Face Professional Certificate. These programs offer structured learning paths and hands-on projects to help you build practical skills.‎

Yes. You can start learning Machine Learning on Coursera for free in two ways:

  1. Preview the first module of many Machine Learning courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in Machine Learning, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn machine learning, start by taking introductory courses that cover the basics of algorithms and data analysis. Engage in hands-on projects to apply what you've learned, and gradually progress to more advanced topics. Utilize online resources, participate in forums, and collaborate with peers to enhance your understanding. Consistent practice and real-world application will reinforce your skills.‎

Typical topics covered in machine learning courses include supervised and unsupervised learning, regression analysis, classification techniques, clustering, and neural networks. Additionally, courses often explore data preprocessing, feature engineering, and model evaluation. Understanding these concepts will equip you with the knowledge needed to tackle various machine learning challenges.‎

For training and upskilling employees in machine learning, programs like the Applied Machine Learning Specialization are highly effective. These courses focus on practical applications and real-world scenarios, making them suitable for professionals looking to enhance their skills and contribute to their organizations' data-driven initiatives.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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