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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.


More to explore:

Cours et certificats populaires en Apprentissage automatique


  • Status: Free Trial
    Free Trial
    C

    Coursera

    How to Build a Product Flow Diagram

    Skills you'll gain: Product Flow Diagram, Process Flow Diagrams, New Product Development, Go To Market Strategy, Product Development, Product Roadmaps, Product Improvement, Product Design, Customer experience strategy (CX), Customer Analysis, User Research, User Feedback, Analysis

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Intro to NumPy

    Skills you'll gain: NumPy, Scientific Visualization, Data Visualization, Jupyter, Time Series Analysis and Forecasting, Graphing, Data Structures, Python Programming, Numerical Analysis, Data Manipulation, Mathematical Software, Data Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Strategize, Roadmap, and Mitigate AI Projects

    Skills you'll gain: Applied Machine Learning, Case Studies, Fraud detection, Project Design, Project Risk Management, Ethical Standards And Conduct, Law, Regulation, and Compliance, Scalability, Content Strategy, Quality Assessment, Keyword Research, Search Engine Optimization, Content Creation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    Real-World Applications & Model Deployment in Java

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Model Deployment, Jenkins, AI Security, Applied Machine Learning, Java, Continuous Deployment, Federated Learning, Artificial Intelligence, Machine Learning, Spring Framework, Application Deployment, Reinforcement Learning, Spring Boot, Enterprise Application Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    G

    Google Cloud

    Hosting a Web App on Google Cloud Using Compute Engine Azure

    Skills you'll gain: Cloud Hosting, Load Balancing, Cloud Deployment, Cloud Applications, Google Cloud Platform, Infrastructure As A Service (IaaS), Cloud Computing, Microsoft Azure, Virtual Machines, Web Servers, Servers, Managed Services

    Beginner · Project · Less Than 2 Hours

  • G

    Google Cloud

    Predict Visitor Purchases with a Classification Model in BQML

    Skills you'll gain: Model Evaluation, Logistic Regression, Exploratory Data Analysis, Predictive Analytics, Analytics, E-Commerce, Big Data, Applied Machine Learning, Data Analysis, Classification Algorithms

    Intermediate · Project · Less Than 2 Hours

  • P

    Packt

    Data Science Foundations: NumPy, Pandas & Visualization

    Skills you'll gain: Statistical Visualization, Scatter Plots, Histogram, Data Science, Computer Programming

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    H

    Hebrew University of Jerusalem

    The Wonders and Challenges of Bible Education

    Skills you'll gain: Teaching, Pedagogy, Program Evaluation, Instructional Strategies, Curriculum Planning, Classroom Management, Storytelling, Ethical Standards And Conduct, Student Engagement, Child Development, Working With Children, Liberal Arts, Ancient History, Social Studies, Culture, Discussion Facilitation

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of RMAN Backup and Recovery

    Skills you'll gain: Oracle Databases, Disaster Recovery, Operational Databases, Database Architecture and Administration, Database Management, System Configuration, Data Storage, System Monitoring, Virtual Machines, Scripting Languages

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals Part 1: Unit 3

    Skills you'll gain: Data Validation, Extract, Transform, Load, Object-Relational Mapping, Data Cleansing, Data Manipulation, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Database Management, Data Transformation, Data Integrity, Relational Databases, Exploratory Data Analysis, Databases, Data Processing, SQL, Data Persistence, Data Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced React Projects and Ecommerce Development

    Skills you'll gain: Application Deployment, React.js, Event-Driven Programming, User Interface (UI), Web Applications, Application Development, Web Development, Cascading Style Sheets (CSS), Javascript, JSON, Debugging

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Process, Business Environment, and Exam Preparation

    Skills you'll gain: Stakeholder Management, Stakeholder Engagement, Project Risk Management, Project Management, Agile Methodology, Project Management Life Cycle, Compliance Management, Agile Project Management, Scope Management, Business Process, Requirements Management, Project Planning, Project Management Institute (PMI) Methodology, Project Schedules, Governance, Change Management, Procurement

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular Machine Learning courses

  • How to Build a Product Flow Diagram: Coursera
  • Intro to NumPy: Packt
  • Strategize, Roadmap, and Mitigate AI Projects: Coursera
  • Real-World Applications & Model Deployment in Java : Board Infinity
  • Hosting a Web App on Google Cloud Using Compute Engine Azure: Google Cloud
  • Predict Visitor Purchases with a Classification Model in BQML: Google Cloud
  • Data Science Foundations: NumPy, Pandas & Visualization: Packt
  • The Wonders and Challenges of Bible Education: Hebrew University of Jerusalem
  • Foundations of RMAN Backup and Recovery: Packt
  • Data Science Fundamentals Part 1: Unit 3: Pearson

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