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Cours en Data Science

Les cours en data science peuvent vous aider à comprendre comment analyser des données, créer des modèles et évaluer leurs performances. Vous pouvez développer des compétences en statistique, apprentissage automatique, préparation des données et visualisation. De nombreux cours utilisent des langages et bibliothèques courants pour travailler sur des projets pratiques.

Cours et certificats populaires en Data Science


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    Coursera

    Analyze and Optimize Fusion Algorithms

    Skills you'll gain: Model Optimization, Algorithms, Memory Management, Performance Testing, Resource Utilization, Scalability

    Intermediate · Course · 1 - 4 Weeks

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    KodeKloud

    ML Model Development and Tracking: Hands-on Guide

    Skills you'll gain: MLOps (Machine Learning Operations), Model Training, Model Deployment, Model Optimization, Test Data, Model Evaluation, Data Synthesis, Development Environment, Claims Processing, Application Deployment, Record Keeping, Computer Hardware

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Explain Black-Box Models

    Skills you'll gain: Stakeholder Communications, Stakeholder Engagement, Data Storytelling, Stakeholder Management, Stakeholder Analysis, Data Presentation, Data-Driven Decision-Making, Business Communication, Model Evaluation, Responsible AI

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Build & Evaluate Real-Time Object Detectors

    Skills you'll gain: Computer Vision, Model Optimization, Performance Analysis, Performance Measurement, Data Pipelines, Quality Assessment

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    ML Pipelines on Google Cloud - Français

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, CI/CD, Apache Airflow, Tensorflow, Data Pipelines, Continuous Deployment, Model Deployment, AI Orchestration, Model Training, Metadata Management, Model Evaluation, Data Validation

    Advanced · Course · 1 - 3 Months

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    Coursera

    Optimize Java Memory for ML Performance

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Containerization, Model Optimization, Performance Tuning, Memory Management, Docker (Software), Java, Java Programming, Artificial Intelligence and Machine Learning (AI/ML), Analysis, Data Structures

    Advanced · Course · 1 - 4 Weeks

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    Google Cloud

    Feature Engineering - 한국어

    Skills you'll gain: Feature Engineering, Data Preprocessing, Model Optimization, Dataflow, Tensorflow, Data Pipelines, Data Transformation, Statistical Machine Learning, Keras (Neural Network Library), Statistical Methods, Machine Learning Methods, Applied Machine Learning, Machine Learning, Real Time Data

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Automate, Optimize, and Monitor ML Models

    Skills you'll gain: Model Optimization, Model Training, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Evaluate and Create ML Workflows Visually

    Skills you'll gain: Model Training, MLOps (Machine Learning Operations), Software Visualization, Dashboard Creation, Grafana, Code Reusability, Performance Metric, Data Pipelines, Performance Analysis, Collaborative Software

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Balance and Analyze Image Segmentation

    Skills you'll gain: Failure Analysis, Applied Machine Learning, Model Training, AI Workflows, Model Optimization, Spatial Data Analysis, Predictive Modeling, Statistical Machine Learning

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Deep Learning & Modern AI Architectures

    Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Model Optimization, Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Fine-tuning, Tensorflow, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Image Analysis, Model Training, Machine Learning Methods, Applied Machine Learning, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Build Robust Java ML Models with Entropy

    Skills you'll gain: Model Evaluation, Model Deployment, Model Training, Decision Tree Learning, Data Preprocessing, Java Programming, Classification Algorithms, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Java, Program Evaluation, Machine Learning Methods, Machine Learning Algorithms, Machine Learning, Algorithms, Program Implementation, Business Development

    Advanced · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular data science courses

  • Analyze and Optimize Fusion Algorithms: Coursera
  • ML Model Development and Tracking: Hands-on Guide: KodeKloud
  • Explain Black-Box Models: Coursera
  • Build & Evaluate Real-Time Object Detectors: Coursera
  • ML Pipelines on Google Cloud - Français: Google Cloud
  • Optimize Java Memory for ML Performance: Coursera
  • Feature Engineering - 한국어: Google Cloud
  • Automate, Optimize, and Monitor ML Models: Coursera
  • Evaluate and Create ML Workflows Visually: Coursera
  • Balance and Analyze Image Segmentation: Coursera

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