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  • 无代码和无 Ml仅 Ai介绍

Results for "无代码和无 ml - 仅 ai 介绍"


  • Status: New
    New
    G

    Google Cloud

    生成式 AI 应用:改变工作方式

    Skills you'll gain: Google Gemini, Google Workspace, Generative AI, Google Cloud Platform, Productivity Software, Prompt Engineering, LLM Application, Enterprise Security

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
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    Google Cloud

    生成式 AI 智能体:助力组织转型

    Skills you'll gain: Generative AI Agents, Generative AI, Prompt Engineering, Tool Calling, AI Product Strategy, LLM Application, Google Cloud Platform, Organizational Strategy, Business Transformation, Innovation, Customer experience improvement

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Packt

    Foundations of Machine Learning with Azure

    Skills you'll gain: Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Data Processing, Data Cleansing, Supervised Learning, Data Transformation, MLOps (Machine Learning Operations), Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Quality, Resource Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    AI ML with Deep Learning and Supervised Models

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Reinforcement Learning, Artificial Intelligence, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Predictive Modeling, Machine Learning, Regression Analysis, Data Ethics, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm

    4
    Rating, 4 out of 5 stars
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    10 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Engineering with LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, PyTorch (Machine Learning Library), LLM Application, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Text Mining, Data Ethics, Artificial Intelligence, Deep Learning, Performance Tuning, Applied Machine Learning, Data Processing, Artificial Neural Networks, Reinforcement Learning, Document Management, Database Management Systems, Data Storage Technologies

    4.5
    Rating, 4.5 out of 5 stars
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    811 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
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    SAS

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

    Skills you'll gain: Predictive Modeling, Responsible AI, Predictive Analytics, Machine Learning, Data Ethics, MLOps (Machine Learning Operations), Applied Machine Learning, Data-Driven Decision-Making, Statistical Modeling, Performance Measurement, Supervised Learning, 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

    4.8
    Rating, 4.8 out of 5 stars
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    189 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Packt

    Advanced Deployment, MLOps, and Generative AI in Azure

    Skills you'll gain: CI/CD, Real Time Data

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning with Apache Spark

    Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Feature Engineering, Data Processing, Extract, Transform, Load, Predictive Modeling, Data Transformation, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
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    113 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    A

    Amazon Web Services

    Fundamentals of Machine Learning and Artificial Intelligence

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, Artificial Intelligence, Amazon Web Services, Applied Machine Learning, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
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    2.2K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Machine Learning on Google Cloud

    Skills you'll gain: Feature Engineering, Responsible AI, Generative AI, Tensorflow, Generative AI Agents, Keras (Neural Network Library), Exploratory Data Analysis, MLOps (Machine Learning Operations), Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Prompt Engineering, Data Strategy, OpenAI, Applied Machine Learning, Data Pipelines, AI Product Strategy, Supervised Learning, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
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    3.7K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Packt

    Building, Evaluating, and Operationalizing ML Models

    Skills you'll gain: Statistical Methods

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Digital Transformation Using AI/ML with Google Cloud

    Skills you'll gain: Business Transformation, Innovation, Digital Transformation, Serverless Computing, Cloud Services, Data Ethics, Cloud Infrastructure, Google Cloud Platform, Application Programming Interface (API), Technology Strategies, Hybrid Cloud Computing, Data Strategy, Infrastructure As A Service (IaaS), Responsible AI, Cloud Computing, Cloud Solutions, Public Cloud, Containerization, Cloud-Native Computing, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.5K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • 生成式 AI 应用:改变工作方式: Google Cloud
  • 生成式 AI 智能体:助力组织转型: Google Cloud
  • Foundations of Machine Learning with Azure: Packt
  • AI ML with Deep Learning and Supervised Models: Simplilearn
  • Generative AI Engineering with LLMs: IBM
  • Machine Learning Rock Star – the End-to-End Practice: SAS
  • Advanced Deployment, MLOps, and Generative AI in Azure: Packt
  • Machine Learning with Apache Spark: IBM
  • Fundamentals of Machine Learning and Artificial Intelligence: Amazon Web Services
  • Machine Learning on Google Cloud: Google Cloud

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