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    • 无代码和无 Ml仅 Ai介绍
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    Results for "无代码和无 ml - 仅 ai 介绍"

    • 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: 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
      D

      DeepLearning.AI

      Supervised Machine Learning: Regression and Classification

      Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Unsupervised Learning, Statistical Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      30K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Innovating with Google Cloud Artificial Intelligence - 日本語版

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform, Artificial Intelligence, Data Ethics, Data Quality, Machine Learning, Cloud API, Business Intelligence, Computer Vision, Natural Language Processing, Application Programming Interface (API), Predictive Analytics

      Beginner · Course · 1 - 4 Weeks

    • 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: New
      New
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      Azure ML: Deploying, Managing, and Experimenting with Models

      Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Data Management, Cloud Computing, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Scalability, Machine Learning, Performance Tuning

      Advanced · Course · 1 - 4 Weeks

    • G

      Google Cloud

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

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

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Machine Learning Pipelines with Azure ML Studio

      Skills you'll gain: Applied Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Microsoft Azure, Machine Learning, Supervised Learning, Feature Engineering, Data Pipelines, Data Science, Data Analysis, Data Processing, Data Cleansing, Application Deployment

      4.5
      Rating, 4.5 out of 5 stars
      ·
      810 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • 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: New
      New
      G

      Google Cloud

      Google Cloud での生成 AI アプリの作成

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

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      W

      Whizlabs

      Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Deep Learning, Unsupervised Learning, Natural Language Processing, Time Series Analysis and Forecasting, Data Visualization, Supervised Learning, Data Ethics, Image Analysis, Machine Learning, Text Mining, Applied Machine Learning, Computer Vision, Data Processing, Artificial Intelligence, Scatter Plots, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      19 reviews

      Intermediate · Specialization · 3 - 6 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

    1…567…251

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

    • AI 보안 소개: Google Cloud
    • AI and Machine Learning Algorithms and Techniques: Microsoft
    • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
    • Innovating with Google Cloud Artificial Intelligence - 日本語版: Google Cloud
    • 심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화: DeepLearning.AI
    • Azure ML: Deploying, Managing, and Experimenting with Models: Whizlabs
    • Responsible AI: Applying AI Principles with GC - 日本語版: Google Cloud
    • Machine Learning Pipelines with Azure ML Studio: Coursera Project Network
    • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
    • Google Cloud での生成 AI アプリの作成: Google Cloud

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