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  • Ml部署面临的挑战

Results for "ml 部署面临的挑战"


  • Status: Free Trial
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    U

    University of Pennsylvania

    商务基础 (中文版)

    Skills you'll gain: Financial Statements, Financial Statement Analysis, Operations Management, Return On Investment, Financial Accounting, Financial Reporting, Process Analysis, Income Statement, Operational Efficiency, Business Operations, Capital Budgeting, Marketing, Cash Flows, Finance, Financial Acumen, Production Management, Strategic Marketing, Marketing Strategies, Financial Modeling, Business Planning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    341 reviews

    Beginner · Specialization · 3 - 6 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
    ·
    3.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    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
    ·
    113 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Coursera

    Operationalizing ML Models: MLOps for Scalable AI

    Skills you'll gain: MLOps (Machine Learning Operations), CI/CD, Continuous Deployment, Docker (Software), Kubernetes, Containerization, Scalability, Continuous Integration, DevOps, Data Infrastructure, IT Infrastructure, Infrastructure Architecture, Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Continuous Monitoring, Real Time Data, Version Control

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Data Engineering, Big Data and ML on Google Cloud 日本語版

    Skills you'll gain: Dataflow, Tensorflow, Google Cloud Platform, Data Pipelines, Real Time Data, Feature Engineering, Applied Machine Learning, Data Lakes, Apache Spark, Dashboard, Big Data, Serverless Computing, Unstructured Data, Data Warehousing, Cloud Engineering, PySpark, Cloud Storage, Data Processing, Cloud Development, Data Infrastructure

    4.4
    Rating, 4.4 out of 5 stars
    ·
    289 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

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

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

    4.4
    Rating, 4.4 out of 5 stars
    ·
    2.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning in the Enterprise

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Data Management, Data Governance, Workflow Management, Tensorflow, Applied Machine Learning, Data Pipelines, Machine Learning, Cloud Computing, Data Transformation, Continuous Monitoring

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    E

    Edge Impulse

    Introduction to Embedded Machine Learning

    Skills you'll gain: Applied Machine Learning, Embedded Systems, Data Processing, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Data Analysis, Feature Engineering, Computer Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    745 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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, Statistical Machine Learning, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Theoretical Computer Science, Mathematical Modeling, Probability & Statistics, Regression Analysis, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    937 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Google Cloud

    Machine Learning Operations (MLOps) with Vertex AI: Manage Features

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

    4.2
    Rating, 4.2 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    F

    Fractal Analytics

    Unlocking AI and ML : Your Path to Smart Business Solutions

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Business Analytics, Data Literacy, Data Analysis, Data Cleansing, Business Intelligence, Data Quality, Business Ethics, Artificial Neural Networks, Machine Learning, Deep Learning, Data Science, Predictive Modeling, Python Programming, Unsupervised Learning

    Beginner · 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, Theoretical Computer Science, Applied Machine Learning, Supervised Learning, Classification And Regression Tree (CART), Statistical Machine Learning, Machine Learning, Artificial Neural Networks, Artificial Intelligence, Deep Learning, Decision Tree Learning, Algorithms, Unsupervised Learning, Network Architecture

    4.6
    Rating, 4.6 out of 5 stars
    ·
    62 reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular ml 部署面临的挑战 courses

  • 商务基础 (中文版): University of Pennsylvania
  • Machine Learning in Production: DeepLearning.AI
  • Machine Learning with Apache Spark: IBM
  • Operationalizing ML Models: MLOps for Scalable AI: Coursera
  • Data Engineering, Big Data and ML on Google Cloud 日本語版: Google Cloud
  • Build, Train and Deploy ML Models with Keras on Google Cloud: Google Cloud
  • Machine Learning in the Enterprise: Google Cloud
  • Introduction to Embedded Machine Learning: Edge Impulse
  • 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
  • Machine Learning Operations (MLOps) with Vertex AI: Manage Features: Google Cloud

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