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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


  • Status: Preview
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    N

    Northeastern University

    Introduction to Machine Learning and Algorithmic Bias

    Skills you'll gain: Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Machine Learning, Governance, Model Evaluation, Risk Mitigation, Algorithms, Data Preprocessing, Business Ethics, Data Governance, Data Collection, Regulatory Requirements, Business, Business Strategy, Business Planning

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    E

    EDUCBA

    Analyze & Apply Generative AI for Research & Finance

    Skills you'll gain: Team Performance Management, Generative AI, Kanban Principles, Analytics, AI Security, Big Data, Investment Management, Coaching, Trend Analysis, Scalability, Emotional Intelligence, Technology Strategies, Business, Employee Engagement, Business Ethics, Customer experience improvement, Responsible AI, Complex Problem Solving, Research, Estimation

    Beginner · Specialization · 1 - 3 Months

  • Status: New
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    EDUCBA

    Apply Generative AI for Leadership & Human-Centered Branding

    Skills you'll gain: Generative AI, AI Enablement, Performance Analysis, Strategic Leadership, Brand Awareness, LLM Application, Branding, Leadership, Cybersecurity, Threat Modeling, Strategic Thinking, Prompt Engineering, Data Ethics, Business Transformation, Responsible AI, Storytelling, AI Personalization, Content Development and Management, Multimedia, Business

    Beginner · Specialization · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    E

    EDUCBA

    AI for Business Ethics & Financial Strategy Mastery

    Skills you'll gain: Data Ethics, Financial Modeling, Responsible AI, AI Security, Financial Forecasting, Financial Statements, Depreciation, Business Ethics, Balance Sheet, Capital Budgeting, Artificial Intelligence, Strategic Decision-Making, Data Management, Information Privacy, Financial Analysis, Excel Formulas, Ethical Standards And Conduct, Finance, Business Strategy, Business

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    B

    Berklee

    Music Business

    Skills you'll gain: Intellectual Property, Entrepreneurship, Music History, Contract Negotiation, Fundraising and Crowdsourcing, Creativity, Team Building, Creative Thinking, Presentations, Innovation, Brand Strategy, Professional Networking, Lawsuits, Self-Starter, Music, Branding, Open Mindset, Digital Assets, Social Media, Business

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
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    C

    Coursera

    Measure ML Impact & Business Value

    Skills you'll gain: Experimentation, Business Metrics, Data Storytelling, Return On Investment, Model Evaluation, Dashboard, Performance Measurement, Business Valuation, Key Performance Indicators (KPIs), A/B Testing, Performance Analysis, Analysis, Product Management, Machine Learning, Financial Analysis, Business, Stakeholder Communications, Sample Size Determination, Power Electronics

    Intermediate · Course · 1 - 4 Weeks

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    T

    The State University of New York

    Home-Based Child Care

    Skills you'll gain: Injury Prevention, Child Development, Childhood Education and Development, Working With Children, Business Planning, Accident Prevention, Teaching, Family Support, Emotional Intelligence, Emergency Response, Parent Communication, Cultural Diversity, Diversity Awareness, Nutrition and Diet, Safety Training, Business, Small Business Accounting, Tax Management, Policy Development, Creativity

    4.8
    Rating, 4.8 out of 5 stars
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    161 reviews

    Beginner · Specialization · 3 - 6 Months

  • Next level skills. New Year savings.

    Save on Coursera Plus
  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Essential English for Business Professionals

    Skills you'll gain: Presentations, English Language, Verbal Communication Skills, Communication, Non-Verbal Communication, Entrepreneurship, Microsoft PowerPoint, Business Communication, Sales, Interpersonal Communications, Project Management, Business Leadership, Crisis Management, Organizational Structure, Marketing, Leadership and Management, Business, Vocabulary, Telecommuting, Human Resources

    4.7
    Rating, 4.7 out of 5 stars
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    212 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    C

    Coursera

    Evaluate & Swap Models in Java ML

    Skills you'll gain: Model Evaluation, Data Preprocessing, MLOps (Machine Learning Operations), Classification Algorithms, Applied Machine Learning, Maintainability, Machine Learning Algorithms, Java, Software Architecture, Software Design Patterns, Logistic Regression, Business Metrics, Benchmarking, Decision Tree Learning, Matrix Management, Business

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Enterprise Systems

    Skills you'll gain: Enterprise Resource Planning, Business Systems, Change Management, Business Technologies, Organizational Change, System Implementation, Business Process, Case Studies, Business Management, Business, Business Strategy

    4.7
    Rating, 4.7 out of 5 stars
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    828 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    E

    EDUCBA

    Digital Marketing Dynamics: Strategy & Case Studies

    Skills you'll gain: Campaign Management, Social Media, Digital Marketing, Performance marketing, Social Media Marketing, Case Studies, Target Market, Marketing Strategies, Marketing, Strategic Marketing, Consumer Behaviour, Competitive Analysis, Integrated Marketing Communications, Marketing Effectiveness, Marketing Planning, Marketing Strategy and Techniques, Advertising Campaigns, Performance Analysis, Target Audience, Business

    4.8
    Rating, 4.8 out of 5 stars
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    29 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of London

    Fundamentals of International Business

    Skills you'll gain: Business Ethics, Global Marketing, Social Sciences, International Relations, Business, Political Sciences, Corporate Sustainability, Intercultural Competence, Business Strategy, Cultural Diversity, Business Risk Management, Economics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    119 reviews

    Beginner · Course · 1 - 4 Weeks

What brings you to Coursera today?

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

  • Introduction to Machine Learning and Algorithmic Bias: Northeastern University
  • Analyze & Apply Generative AI for Research & Finance: EDUCBA
  • Apply Generative AI for Leadership & Human-Centered Branding: EDUCBA
  • AI for Business Ethics & Financial Strategy Mastery: EDUCBA
  • Music Business: Berklee
  • Measure ML Impact & Business Value: Coursera
  • Home-Based Child Care: The State University of New York
  • Essential English for Business Professionals: University of California, Irvine
  • Evaluate & Swap Models in Java ML: Coursera
  • Enterprise Systems: University of Minnesota

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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