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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


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    O.P. Jindal Global University

    Development Across the Lifespan

    Skills you'll gain: Personal Development, Emotional Intelligence, Mental Health, Cognitive flexibility, Critical Thinking

    Build toward a degree

    Beginner · Course · 1 - 3 Months

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    Coursera

    GenAI Deployment & Governance

    Skills you'll gain: MLOps (Machine Learning Operations), Data Governance, Prompt Engineering, Continuous Deployment, Generative AI, System Monitoring, CI/CD, Responsible AI, Automation, DevOps, Compliance Management, Performance Tuning, Data Pipelines, Kubernetes, Docker (Software), Containerization, Data Security, Risk Management, Dashboard, Cloud Platforms

    Intermediate · Specialization · 3 - 6 Months

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    Coursera

    GenAI and Model Selection

    Skills you'll gain: Generative AI, Generative Adversarial Networks (GANs), Applied Machine Learning, Large Language Modeling, Strategic Decision-Making, Systems Integration, Scalability, Innovation

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Analyze and Build Deep Learning Models with TensorFlow

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML)

    Beginner · Course · 1 - 4 Weeks

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    Microsoft

    MLOps and responsible AI practices

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Azure DevOps, Generative AI, Microsoft Azure, Model Deployment, AI Workflows, CI/CD, Version Control, Data Ethics, Artificial Intelligence, Model Evaluation, Git (Version Control System), Automation, System Monitoring, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Chatbots with Keras & NLP: Build & Evaluate

    Skills you'll gain: Embeddings, Natural Language Processing, Keras (Neural Network Library), Generative AI, Artificial Neural Networks, Data Preprocessing, Text Mining, Recurrent Neural Networks (RNNs), Deep Learning, Model Evaluation, Tensorflow

    Mixed · Course · 1 - 4 Weeks

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    DeepLearning.AI

    AI、機械学習、ディープラーニングのための TensorFlow 入門

    Intermediate · Course · 1 - 4 Weeks

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    Starweaver

    Data Communication Networks

    Skills you'll gain: Virtual Networking, Network Protocols, Network Planning And Design, Network Security, Network Performance Management, Network Architecture, Network Monitoring, Computer Networking, TCP/IP, Routing Protocols, Emerging Technologies, Internet Of Things, Artificial Intelligence and Machine Learning (AI/ML)

    Beginner · Course · 1 - 4 Weeks

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    Pearson

    Data Science Fundamentals Part 2: Unit 3

    Skills you'll gain: Predictive Modeling, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Probability Distribution, Estimation, Machine Learning

    Beginner · Course · 1 - 4 Weeks

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    AI CERTs

    AI for Professional Writing

    Skills you'll gain: Prompt Engineering, Search Engine Optimization, Keyword Research, Blogs, Writing and Editing, Content Creation, Generative AI Agents, Web Content, Copywriting, Workflow Management, AI Personalization, Business Writing, Generative AI, AI Enablement, Content Strategy, Writing, Editing, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI

    Intermediate · Course · 1 - 3 Months

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    Microsoft

    Microsoft Ruta ExperiencIA

    Skills you'll gain: Generative AI, Artificial Intelligence, Productivity, AI Enablement, LLM Application, Microsoft Copilot, Data Ethics, Responsible AI, Machine Learning, Natural Language Processing

    Beginner · Course · 1 - 3 Months

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    Johns Hopkins University

    Computational and Graphical Models in Probability

    Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

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

  • Development Across the Lifespan: O.P. Jindal Global University
  • GenAI Deployment & Governance: Coursera
  • GenAI and Model Selection: Coursera
  • Analyze and Build Deep Learning Models with TensorFlow: EDUCBA
  • MLOps and responsible AI practices: Microsoft
  • Chatbots with Keras & NLP: Build & Evaluate: EDUCBA
  • AI、機械学習、ディープラーニングのための TensorFlow 入門: DeepLearning.AI
  • Data Communication Networks: Starweaver
  • Data Science Fundamentals Part 2: Unit 3: Pearson
  • AI for Professional Writing: AI CERTs

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