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    • Ml部署面临的挑战
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    Results for "ml 部署面临的挑战"

    • G

      Google Cloud

      Gemini in Google Docs - 简体中文

      Skills you'll gain: Generative AI, Prompt Engineering, Google Workspace, Large Language Modeling, Grammar, Technical Writing

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Advanced Methods in Machine Learning Applications

      Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Statistical Machine Learning, Advanced Analytics, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Supervised Learning

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      A

      Amazon Web Services

      Amazon Kinesis Video Streams - Getting Started

      Skills you'll gain: AWS Kinesis, Amazon Web Services, Image Analysis, Applied Machine Learning, Live Streaming, Real Time Data, Computer Vision, Internet Of Things

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      G

      Google Cloud

      Introduction to Large Language Models - Português Brasileiro

      Skills you'll gain: Large Language Modeling, Generative AI, ChatGPT, Prompt Engineering, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML)

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Privacy & Safety - 简体中文

      Skills you'll gain: Information Privacy, Cloud Security, Personally Identifiable Information, Google Cloud Platform, Data Security, Security Controls, Data Governance, Open Source Technology, Artificial Intelligence

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Advanced Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, Artificial Neural Networks, Keras (Neural Network Library), PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Applied Machine Learning, Computer Vision, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Network Architecture, Network Model, Data Processing, Performance Tuning

      Advanced · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Training AI with Humans

      Skills you'll gain: Machine Learning, Applied Machine Learning, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Research Design, Human Machine Interfaces, Data Collection, Experimentation, Data Validation, Data Quality, Performance Testing, Statistical Analysis

      Intermediate · Course · 1 - 3 Months

    • H

      H2O.ai

      H2O Gen AI Ecosystem Overview - Level 2

      Skills you'll gain: Generative AI, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Real Time Data, Feature Engineering, Continuous Monitoring, Applied Machine Learning, Performance Tuning, Artificial Intelligence, Deep Learning, Data Processing, Machine Learning, Data Manipulation, Data Cleansing

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      W

      Whizlabs

      Exam Prep AI-900: Microsoft Certified Azure AI Fundamentals

      Skills you'll gain: Generative AI, Microsoft Azure, Image Analysis, Computer Vision, OpenAI, Artificial Intelligence, Natural Language Processing, Machine Learning, Data Ethics, Deep Learning, Text Mining, Data Science

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Applied Machine Learning with Python

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Applied Machine Learning, Machine Learning Algorithms, Data-Driven Decision-Making, Regression Analysis, Machine Learning, Scikit Learn (Machine Learning Library), Decision Tree Learning, Data Mining, Python Programming, Analytics, Statistical Modeling, Predictive Modeling, Statistical Methods, Classification And Regression Tree (CART), Statistical Analysis, Random Forest Algorithm, Feature Engineering, Data Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Practical Methodology and Ethics in AI

      Skills you'll gain: Data Ethics, Deep Learning, Debugging, Artificial Intelligence, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Ethical Standards And Conduct, Applied Machine Learning, Unstructured Data, Data-Driven Decision-Making, Information Privacy, Probability Distribution, Social Studies

      Intermediate · Course · 1 - 4 Weeks

    • H

      H2O.ai

      H2O Driverless AI Starter Course

      Skills you'll gain: Data Processing, Predictive Modeling, Feature Engineering, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Data Manipulation, Exploratory Data Analysis, Data Analysis, Machine Learning, Supervised Learning, Interactive Data Visualization, Data Import/Export

      Intermediate · Course · 1 - 3 Months

    1…969798…112

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

    • Gemini in Google Docs - 简体中文: Google Cloud
    • Advanced Methods in Machine Learning Applications: Johns Hopkins University
    • Amazon Kinesis Video Streams - Getting Started: Amazon Web Services
    • Introduction to Large Language Models - Português Brasileiro: Google Cloud
    • Responsible AI for Developers: Privacy & Safety - 简体中文: Google Cloud
    • Advanced Generative Adversarial Networks (GANs): Packt
    • Training AI with Humans: Johns Hopkins University
    • H2O Gen AI Ecosystem Overview - Level 2: H2O.ai
    • Exam Prep AI-900: Microsoft Certified Azure AI Fundamentals: Whizlabs
    • Applied Machine Learning with Python: Edureka

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