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  • 协商一致机制 Ibm

Results for "协商一致机制 ibm"


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    N

    National Taiwan University

    人工智慧:搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic)

    Skills you'll gain: Artificial Intelligence, Simulations, Computer Science, Computational Thinking, Programming Principles, Game Design, Algorithms, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    319 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    P

    Peking University

    生物信息学: 导论与方法

    Skills you'll gain: Bioinformatics, Markov Model, Informatics, Life Sciences, Biostatistics, Molecular Biology, Computational Thinking, Data Mining, Algorithms, Applied Machine Learning, Data Processing, Database Development, Predictive Modeling, Statistical Methods

    4.8
    Rating, 4.8 out of 5 stars
    ·
    189 reviews

    Mixed · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to DevOps

    Skills you'll gain: DevOps, Agile Methodology, Cloud-Native Computing, CI/CD, Test Driven Development (TDD), Scrum (Software Development), Behavior-Driven Development, Performance Metric, Accountability, Team Oriented, Culture Transformation, Microservices, Cross-Functional Collaboration

    4.8
    Rating, 4.8 out of 5 stars
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    4K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning Capstone

    Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Data Analysis, Applied Machine Learning, Data Presentation, Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Python Programming, Tensorflow, Regression Analysis, Keras (Neural Network Library), Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
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    186 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for Google Cloud Certification: Machine Learning Engineer

    Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Responsible AI, Generative AI, Tensorflow, Generative AI Agents, Google Cloud Platform, Dataflow, Keras (Neural Network Library), Exploratory Data Analysis, Machine Learning, Machine Learning Algorithms, Data Pipelines, Apache Airflow, Artificial Intelligence and Machine Learning (AI/ML), Real Time Data, Prompt Engineering, CI/CD, Cloud Infrastructure, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
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    4.9K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Preview
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    I

    IBM

    Machine Learning Introduction for Everyone

    Skills you'll gain: Predictive Modeling, Machine Learning, Supervised Learning, Data Science, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Unsupervised Learning, Reinforcement Learning, Performance Metric

    4.6
    Rating, 4.6 out of 5 stars
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    296 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Machine Learning in Python

    Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Dimensionality Reduction, Random Forest Algorithm, Regression Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    8.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Peking University

    计算导论与C语言基础

    Skills you'll gain: Programming Principles, C (Programming Language), Computer Science, Computer Programming, Computer Architecture, Data Structures, Theoretical Computer Science, Computer Hardware, Debugging, Emerging Technologies

    4.8
    Rating, 4.8 out of 5 stars
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    1.7K reviews

    Mixed · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Unsupervised Learning, Recommenders, Reinforcement Learning

    Skills you'll gain: Unsupervised Learning, Anomaly Detection, Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Deep Learning, Tensorflow, Keras (Neural Network Library), Supervised Learning, Dimensionality Reduction, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
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    5.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Technical Support

    Skills you'll gain: IT Service Management, Technical Support, Desktop Support, Service Level, Help Desk Support, Customer Service, System Support, End User Training and Support, Remote Access Systems, Issue Tracking, Technical Communication, Technical Documentation

    4.8
    Rating, 4.8 out of 5 stars
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    1.2K reviews

    Beginner · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Machine Learning in Production

    Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Continuous Deployment, Software Development Life Cycle, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Continuous Monitoring, Data Pipelines

    4.8
    Rating, 4.8 out of 5 stars
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    3.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    运营管理概论(中文版)

    Skills you'll gain: Operations Management, Process Analysis, Operational Efficiency, Business Operations, Production Management, Quality Management, Business Process Improvement, Inventory Management System, Performance Measurement, Capacity Management, Resource Utilization

    4.7
    Rating, 4.7 out of 5 stars
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    46 reviews

    Mixed · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular 协商一致机制 ibm courses

  • 人工智慧:搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic): National Taiwan University
  • 生物信息学: 导论与方法: Peking University
  • Introduction to DevOps: IBM
  • Machine Learning Capstone: IBM
  • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
  • Machine Learning Introduction for Everyone: IBM
  • Applied Machine Learning in Python: University of Michigan
  • 计算导论与C语言基础: Peking University
  • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
  • Introduction to Technical Support : IBM

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