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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: Free Trial
    Free Trial
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    Coursera

    Measure ML Impact & Business Value

    Skills you'll gain: Experimentation, Business Metrics, Data Storytelling, Return On Investment, Model Evaluation, Storytelling, Dashboard Creation, Dashboard, Performance Measurement, Performance Metric, Key Performance Indicators (KPIs), A/B Testing, Performance Analysis, Analysis, Estimation, Product Management, Statistical Methods, Business, Stakeholder Communications, Power Electronics

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Digital Business Marketing with Easil

    Skills you'll gain: Photo Editing, Facebook, Digital Advertising, Graphic Design, Marketing Design, Marketing Materials, Online Advertising, Social Media Content, Social Media Marketing, Advertising, Social Media, Digital Marketing Tools, Dashboard, Marketing, User Accounts, Business

    4.7
    Rating, 4.7 out of 5 stars
    ·
    32 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    Introduction to PicsArt for Social Media Marketing

    Skills you'll gain: Social Media Marketing, Social Media, Social Media Content, Social Media Strategy, Photo Editing, Marketing, Photo/Video Production and Technology, Graphics Software, Graphic and Visual Design Software, Graphical Tools, Graphic Design, Computer Graphic Techniques, Entrepreneurship, Business

    4.5
    Rating, 4.5 out of 5 stars
    ·
    86 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Apply Machine Learning for Predictive Business Analytics

    Skills you'll gain: Model Evaluation, Feature Engineering, Data Preprocessing, Demand Planning, Financial Data, Predictive Modeling, Customer Demand Planning, Data-Driven Decision-Making, Exploratory Data Analysis, R Programming, Customer Analysis, Predictive Analytics, Profit and Loss (P&L) Management, Inventory and Warehousing, Analytics, Advanced Analytics, Supply Chain Management, Data Transformation, Machine Learning, Business

    5
    Rating, 5 out of 5 stars
    ·
    12 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
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    Free Trial
    E

    EDUCBA

    Risk Management and Financial Analysis

    Skills you'll gain: Risk Modeling, Risk Analysis, Strategic Decision-Making, Strategic Thinking, Operational Risk, Credit Risk, Financial Modeling, Risk Management, Portfolio Risk, Corporate Strategy, Financial Analysis, Analysis, Finance, Business, Decision Making, Banking, Statistics, Probability, Environment, Design

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    EDUCBA

    Valuation and Financial Modeling

    Skills you'll gain: Financial Statement Analysis, Business Valuation, Mergers & Acquisitions, Financial Data, Financial Analysis, Financial Modeling, Balance Sheet, Depreciation, Finance, Investment Banking, Financial Statements, Revenue Forecasting, Corporate Finance, Forecasting, Analysis, Business, Estimation, Working Capital, Decision Making, Research

    Beginner · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Project Management Core Concepts

    Skills you'll gain: Scope Management, Requirements Analysis, Project Scoping, Project Closure, Team Performance Management, Stakeholder Engagement, Work Breakdown Structure, Project Risk Management, Change Control, Procurement, Team Leadership, Project Management Software, Risk Analysis, Contract Management, Leadership, Planning, Quality Control, Operations Management, Communication Strategies, Business

    Beginner · Specialization · 3 - 6 Months

  • IBM Logo

    Explore what's possible with IBM

    Enroll today
  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    US GAAP Financial Reporting Framework

    Skills you'll gain: Financial Statement Analysis, Financial Reporting, Income Statement, Cash Flows, Generally Accepted Accounting Principles (GAAP), Financial Statements, Liquidation, Cash Flow Forecasting, Financial Accounting, Standard Accounting Practices, Data Presentation, Business Reporting, Analysis, Accounting, Finance, Business, Professional Development, Operations, LESS, Design

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    VBA Automation for Excel Workflows

    Skills you'll gain: Excel Macros, Customer Data Management, Event-Driven Programming, Customer Relationship Management (CRM) Software, Dashboard Creation, Dashboard, Customer Relationship Management, Business Process Automation, Microsoft Excel, Automation, IT Automation, Workflow Management, Management Reporting, Relationship Management, Operations Management, Business Operations, Real Time Data, Business, Build Tools, Productivity

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    J

    John Wiley & Sons

    Nonprofit Operations: Finance, Technology & Fundraising

    Skills you'll gain: Non-Profit Accounting, Fundraising, Fundraising and Crowdsourcing, Grant Writing, Customer Relationship Management, Technology Strategies, Program Evaluation, Fiscal Management, Business Operations, Grant Applications, Customer Relationship Management (CRM) Software, Financial Statement Analysis, Web Design and Development, Performance Measurement, Operations Management, Financial Statements, Operations, Social Impact, Business, Finance

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    John Wiley & Sons

    Mastering Marketing & PR Plans for Business Growth

    Skills you'll gain: Marketing Planning, Marketing and Public Relations, Campaign Planning, Marketing Strategies, Marketing Effectiveness, Target Audience, Content Marketing, Data-Driven Marketing, Strategic Marketing, Marketing Communications, Thought Leadership, Content Creation, Target Market, Persona Development, Social Media, Business Marketing, Public Relations, Business, Digital Marketing, Web Analytics and SEO

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Build a CRM with Spreadsheet Automation

    Skills you'll gain: Customer Data Management, Dashboard, Customer Relationship Management (CRM) Software, Dashboard Creation, Customer Relationship Management, Lead Generation, Excel Macros, Spreadsheet Software, Data Maintenance, Data Management, Automation, Data Entry, Microsoft Excel, Customer Relationship Building, Relationship Management, Business Process, Sales, Business, Productivity, Decision Making

    Mixed · Course · 1 - 4 Weeks

What brings you to Coursera today?

1234…16

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

  • Measure ML Impact & Business Value: Coursera
  • Digital Business Marketing with Easil: Coursera
  • Introduction to PicsArt for Social Media Marketing: Coursera
  • Apply Machine Learning for Predictive Business Analytics: EDUCBA
  • Risk Management and Financial Analysis: EDUCBA
  • Valuation and Financial Modeling: EDUCBA
  • Project Management Core Concepts: EDUCBA
  • US GAAP Financial Reporting Framework: EDUCBA
  • VBA Automation for Excel Workflows: EDUCBA
  • Nonprofit Operations: Finance, Technology & Fundraising: John Wiley & Sons

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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