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    Results for "network device deployment machine learning"

    • 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

    • Status: Free
      Free
      D

      DeepLearning.AI

      Introduction to On-Device AI

      Skills you'll gain: Performance Testing, PyTorch (Machine Learning Library), Android (Operating System), Embedded Software, Tensorflow, Hardware Architecture, Applied Machine Learning, Mobile Development, Artificial Intelligence and Machine Learning (AI/ML), Real Time Data, Computer Vision, Artificial Intelligence

      4.4
      Rating, 4.4 out of 5 stars
      ·
      20 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Fundamentals of Machine Learning for Healthcare

      Skills you'll gain: Healthcare Ethics, Data Ethics, Statistical Machine Learning, Applied Machine Learning, Machine Learning, Artificial Neural Networks, Healthcare Industry Knowledge, Health Care, Health Technology, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Reinforcement Learning, Health Informatics, Deep Learning, Data Processing, Image Analysis, Data Quality

      4.8
      Rating, 4.8 out of 5 stars
      ·
      582 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Advanced Deployment Scenarios with TensorFlow

      Skills you'll gain: Tensorflow, Application Deployment, MLOps (Machine Learning Operations), Deep Learning, Applied Machine Learning, Machine Learning, Information Privacy, Web Servers, Artificial Neural Networks, Data Security, Data Visualization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      510 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Azure Machine Learning for Data Scientists

      Skills you'll gain: Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Virtual Machines, Application Deployment, Data Pipelines, Data Transformation

      4.3
      Rating, 4.3 out of 5 stars
      ·
      174 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Reliability, Cloud Computing and Machine Learning

      Skills you'll gain: Data Warehousing, Apache Hadoop, Transaction Processing, Distributed Computing, Database Systems, Relational Databases, Database Management, Cloud Computing, Big Data, Data Processing, Machine Learning, Scalability, Data Integrity, Disaster Recovery, Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Build and Operate Machine Learning Solutions with Azure

      Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Databricks, Cloud Computing, Applied Machine Learning, Data Ethics, Data Pipelines, Machine Learning, Tensorflow, Continuous Monitoring, Data Security, Scalability

      3.8
      Rating, 3.8 out of 5 stars
      ·
      67 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      W

      Whizlabs

      NVIDIA: Large Language Models and Generative AI Deployment

      Skills you'll gain: Large Language Modeling, Generative AI, PyTorch (Machine Learning Library), Natural Language Processing, Prompt Engineering, Deep Learning, MLOps (Machine Learning Operations), Application Deployment, Tensorflow, Machine Learning Methods, System Monitoring, Continuous Monitoring, Data Cleansing, Performance Tuning, Machine Learning

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      A

      Arm

      Getting Started with Machine Learning at the Edge on Arm

      Skills you'll gain: Embedded Systems, Tensorflow, Applied Machine Learning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Algorithms, Computer Vision, Deep Learning, Image Analysis, Machine Learning, Performance Tuning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Machine Learning in the Enterprise - Español

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

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Automating the Deployment of Networks with Terraform

      Skills you'll gain: Firewall, Terraform, Virtual Machines, Virtualization and Virtual Machines, Infrastructure as Code (IaC), Network Infrastructure, Google Cloud Platform, Network Security, Verification And Validation, Network Model

      Intermediate · Project · Less Than 2 Hours

    • Status: New
      New
      G

      Google Cloud

      Machine Learning in the Enterprise - Italiano

      Skills you'll gain: MLOps (Machine Learning Operations), Data Governance, Data Management, Workflow Management, Data Pipelines, Google Cloud Platform, Applied Machine Learning, Predictive Modeling, Feature Engineering, Machine Learning, Continuous Monitoring

      Intermediate · Course · 1 - 3 Months

    1…567…759

    In summary, here are 10 of our most popular network device deployment machine learning courses

    • Machine Learning in the Enterprise - 日本語版: Google Cloud
    • Introduction to On-Device AI: DeepLearning.AI
    • Fundamentals of Machine Learning for Healthcare: Stanford University
    • Advanced Deployment Scenarios with TensorFlow: DeepLearning.AI
    • Microsoft Azure Machine Learning for Data Scientists: Microsoft
    • Reliability, Cloud Computing and Machine Learning: Johns Hopkins University
    • Build and Operate Machine Learning Solutions with Azure: Microsoft
    • NVIDIA: Large Language Models and Generative AI Deployment: Whizlabs
    • Getting Started with Machine Learning at the Edge on Arm: Arm
    • Machine Learning in the Enterprise - Español: Google Cloud

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