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    Results for "无代码和无 ml - 仅 ai 介绍"

    • Status: New
      New
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      Azure AI & ML: Optimize Language Models for AI Applications

      Skills you'll gain: MLOps (Machine Learning Operations), Microsoft Azure, Prompt Engineering, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Applied Machine Learning, Large Language Modeling, Continuous Monitoring, Generative AI, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      AI and Machine Learning Algorithms and Techniques

      Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Statistical Machine Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Decision Tree Learning, Business Logic, Dimensionality Reduction, Data Modeling, Performance Metric

      4.6
      Rating, 4.6 out of 5 stars
      ·
      41 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Innovating with Google Cloud Artificial Intelligence - 日本語版

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

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      A

      Alberta Machine Intelligence Institute

      실용 머신 러닝 소개

      Skills you'll gain: Data Ethics, Machine Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Business Priorities, Training Records Management, Data Collection, Business Process, Machine Learning Algorithms, Artificial Intelligence, Data Quality, Performance Metric

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      AI 보안 소개

      Skills you'll gain: Security Strategy, Threat Modeling, Threat Management, Security Requirements Analysis, Information Assurance, Cybersecurity, Security Controls, Data Security, Artificial Intelligence, Machine Learning

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      在 Google Cloud 上创建生成式 AI 应用

      Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, Cloud Applications, Google Cloud Platform, Cloud Computing Architecture, Prototyping

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      MLOps with Vertex AI: Manage Features - 日本語版

      Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Data Modeling, Feature Engineering, Applied Machine Learning, Data Storage, Data Management, Data Processing, Data Quality

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI: Applying AI Principles with GC - 日本語版

      Skills you'll gain: Data Ethics, Business Ethics, Google Cloud Platform, Ethical Standards And Conduct, Regulatory Compliance, Governance, Compliance Management, Accountability, Artificial Intelligence and Machine Learning (AI/ML), Information Privacy, Diversity and Inclusion

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      D

      DeepLearning.AI

      심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화

      Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Statistical Analysis, Analysis, Debugging, Machine Learning, Network Architecture, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      N

      National Taiwan University

      機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

      Skills you'll gain: Supervised Learning, Machine Learning, Machine Learning Algorithms, Data Validation, Classification And Regression Tree (CART), Applied Machine Learning, Algorithms, Regression Analysis, Predictive Modeling, Verification And Validation, Feature Engineering, Statistical Methods, Data Transformation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      331 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      G

      Google Cloud

      Introduction to AI and Machine Learning on GC - 日本語版

      Skills you'll gain: Generative AI, Prompt Engineering, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Big Data, Cloud Solutions, Cloud API, Machine Learning, Predictive Modeling, Natural Language Processing, Supervised Learning

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      G

      Google Cloud

      ML Pipelines on Google Cloud - 한국어

      Skills you'll gain: CI/CD, Google Cloud Platform, Apache Airflow, MLOps (Machine Learning Operations), Data Pipelines, Tensorflow, Kubernetes, Continuous Deployment, Metadata Management, Continuous Integration, PyTorch (Machine Learning Library), Machine Learning Methods, Containerization

      Advanced · Course · 1 - 3 Months

    1…567…250

    In summary, here are 10 of our most popular 无代码和无 ml - 仅 ai 介绍 courses

    • Azure AI & ML: Optimize Language Models for AI Applications: Whizlabs
    • AI and Machine Learning Algorithms and Techniques: Microsoft
    • Innovating with Google Cloud Artificial Intelligence - 日本語版: Google Cloud
    • 실용 머신 러닝 소개: Alberta Machine Intelligence Institute
    • AI 보안 소개: Google Cloud
    • 在 Google Cloud 上创建生成式 AI 应用: Google Cloud
    • MLOps with Vertex AI: Manage Features - 日本語版: Google Cloud
    • Responsible AI: Applying AI Principles with GC - 日本語版: Google Cloud
    • 심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화: DeepLearning.AI
    • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University

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