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    Results for "无代码和无 ml - 仅 ai 介绍"

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Azure for AI and Machine Learning

      Skills you'll gain: MLOps (Machine Learning Operations), Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Data Pipelines, Network Troubleshooting, Cloud Computing, Cloud Security, Software Versioning, CI/CD, Continuous Monitoring, Data Storage, Scalability, Data Quality, Data Transformation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      17 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      G

      Google Cloud

      Build, Train and Deploy ML Models with Keras on Google Cloud - 한국어

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Deep Learning, MLOps (Machine Learning Operations), Data Processing, Applied Machine Learning, Data Pipelines, Containerization, Application Programming Interface (API)

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      N

      National Taiwan University

      人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory)

      Skills you'll gain: Reinforcement Learning, Deep Learning, Theoretical Computer Science, Artificial Neural Networks, Artificial Intelligence, Classification And Regression Tree (CART), Machine Learning, Supervised Learning, Computer Science, Unsupervised Learning, Algorithms, Network Architecture

      4.6
      Rating, 4.6 out of 5 stars
      ·
      61 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Build, Train and Deploy ML Models with Keras on Google Cloud - 日本語版

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Data Pipelines, Google Cloud Platform, Deep Learning, MLOps (Machine Learning Operations), Data Processing, Artificial Neural Networks, Application Deployment, Scalability, Machine Learning, Data Transformation, Application Programming Interface (API)

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      G

      Google Cloud

      ML Pipelines on Google Cloud - 日本語版

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

      Advanced · Course · 1 - 3 Months

    • Status: Preview
      Preview
      N

      National Taiwan University

      機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

      Skills you'll gain: Supervised Learning, Machine Learning, Classification And Regression Tree (CART), Theoretical Computer Science, Applied Mathematics, Mathematical Modeling, Probability & Statistics, Regression Analysis, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      935 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SAS

      Machine Learning Rock Star – the End-to-End Practice

      Skills you'll gain: Predictive Modeling, Predictive Analytics, Machine Learning, Data Ethics, Technical Management, MLOps (Machine Learning Operations), Applied Machine Learning, Data-Driven Decision-Making, Statistical Modeling, Performance Measurement, Business Ethics, Decision Tree Learning, Artificial Intelligence and Machine Learning (AI/ML), Leadership and Management, Business Analytics, Data Science, Machine Learning Algorithms, Artificial Intelligence, Data Processing, Business Leadership

      4.8
      Rating, 4.8 out of 5 stars
      ·
      189 reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - 繁體中文

      Skills you'll gain: Data Ethics, Google Cloud Platform, Artificial Intelligence, Open Source Technology, Machine Learning, Continuous Monitoring, Data Quality

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI for Developers: Interpretability & Transparency - 繁體中文

      Skills you'll gain: Data Ethics, Data Analysis, Data Modeling, Artificial Intelligence, Machine Learning, Technical Communication

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Machine Learning in the Enterprise - 日本語版

      Skills you'll gain: Data Management, Data Governance, MLOps (Machine Learning Operations), Data Strategy, Forecasting, Google Cloud Platform, Workflow Management, Data Pipelines, Predictive Analytics, Applied Machine Learning, Data Processing, Machine Learning, Performance Tuning

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 繁體中文

      Skills you'll gain: Generative AI, Continuous Monitoring, MLOps (Machine Learning Operations), Predictive Modeling, Google Cloud Platform, Machine Learning Methods, Applied Machine Learning, Machine Learning, Data Quality

      Intermediate · Course · 1 - 4 Weeks

    • 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, Computer Vision, Data Processing, Artificial Intelligence, Scatter Plots, Data Visualization Software, 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

    1234…250

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

    • Microsoft Azure for AI and Machine Learning: Microsoft
    • Build, Train and Deploy ML Models with Keras on Google Cloud - 한국어: Google Cloud
    • 人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory): National Taiwan University
    • Build, Train and Deploy ML Models with Keras on Google Cloud - 日本語版: Google Cloud
    • ML Pipelines on Google Cloud - 日本語版: Google Cloud
    • 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
    • Machine Learning Rock Star – the End-to-End Practice: SAS
    • Responsible AI for Developers: Fairness & Bias - 繁體中文: Google Cloud
    • Responsible AI for Developers: Interpretability & Transparency - 繁體中文: Google Cloud
    • Machine Learning in the Enterprise - 日本語版: Google Cloud

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