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  • Launching Into Machine Learning En Francais Web Development

Results for "launching into machine learning en français web development"


  • Status: New
    New
    P

    Pearson

    Skill Up with Python: Data Science and Machine Learning Recipes

    Skills you'll gain: Pandas (Python Package), Web Scraping, Python Programming, Jupyter, Image Analysis, Text Mining, Data Manipulation, Computer Vision, Data Analysis, Natural Language Processing, Data Visualization Software, Data Science, Applied Machine Learning, Unstructured Data

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Applied Machine Learning with Python

    Skills you'll gain: Supervised Learning, Machine Learning Methods, Statistical Machine Learning, Machine Learning, Data Analysis, Dimensionality Reduction

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Machine Learning Foundations for Product Managers

    Skills you'll gain: Deep Learning, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Decision Tree Learning, Computer Vision, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
    ·
    690 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Innovating with Google Cloud Artificial Intelligence - Français

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform, Digital Transformation, Responsible AI, Data Quality, Business Transformation, Applied Machine Learning, Cloud API, Natural Language Processing, Image Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Browser-based Models with TensorFlow.js

    Skills you'll gain: Image Analysis, Tensorflow, Computer Vision, Keras (Neural Network Library), JSON, Applied Machine Learning, Javascript, Deep Learning, Data Processing, Real Time Data, Web Applications, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Introduction to Large Language Models - Français

    Skills you'll gain: LLM Application, Large Language Modeling, Google Gemini, Generative AI, Prompt Engineering

    4.2
    Rating, 4.2 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Board Infinity

    Machine Learning with Implementation in Java

    Skills you'll gain: Java, Java Programming, Apache Spark, Applied Machine Learning, Deep Learning, Data Processing, Application Deployment, Natural Language Processing, Data Cleansing, Machine Learning Algorithms, Machine Learning, Feature Engineering, Data Transformation, Regression Analysis, Interoperability

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    L

    LearnQuest

    Foundations of No-Code AI for Real-World Applications

    Skills you'll gain: Data Ethics, No-Code Development, Data Cleansing, Artificial Intelligence, Data Processing, Business Solutions, Machine Learning, Business Metrics, Data Storytelling, Usability, User Experience Design, Application Design, Generative AI, Business Analytics, Application Deployment, Scalability, Data Validation, Dashboard, Compliance Management, Automation

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Auto Machine Learning (AutoML) Using AutoGluon

    Skills you'll gain: AWS SageMaker, Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Classification And Regression Tree (CART), Python Programming, Prototyping

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 4

    Skills you'll gain: Predictive Modeling, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Analysis, Data Import/Export, Google Cloud Platform, Jupyter, Decision Tree Learning, Data Processing, Machine Learning, Random Forest Algorithm, Statistical Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    15 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    D

    DeepLearning.AI

    Evaluating and Debugging Generative AI

    Skills you'll gain: MLOps (Machine Learning Operations), Large Language Modeling, Jupyter, Generative AI, Software Versioning, Data Store, Metadata Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Intermediate · Project · Less Than 2 Hours

  • C

    Coursera

    Gen AI for developers: Web development with Python & Copilot

    Skills you'll gain: Unit Testing, Microsoft Copilot, Flask (Web Framework), Front-End Web Development, Web Applications, Web Development, Secure Coding, Microsoft Visual Studio, Python Programming, Development Environment, User Interface (UI), Application Programming Interface (API)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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In summary, here are 10 of our most popular launching into machine learning en français web development courses

  • Skill Up with Python: Data Science and Machine Learning Recipes: Pearson
  • Applied Machine Learning with Python: Edureka
  • Machine Learning Foundations for Product Managers: Duke University
  • Innovating with Google Cloud Artificial Intelligence - Français: Google Cloud
  • Browser-based Models with TensorFlow.js: DeepLearning.AI
  • Introduction to Large Language Models - Français: Google Cloud
  • Machine Learning with Implementation in Java: Board Infinity
  • Foundations of No-Code AI for Real-World Applications: LearnQuest
  • Auto Machine Learning (AutoML) Using AutoGluon : Coursera
  • Interpretable Machine Learning Applications: Part 4: Coursera

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