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  • 部署和执行机器人

Results for "部署和执行机器人"


  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - Français

    Skills you'll gain: Google Cloud Platform, Google Gemini, Generative AI, MLOps (Machine Learning Operations), Cloud Infrastructure, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Machine Learning, Predictive Modeling, Natural Language Processing

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Probability Theory and Regression for Predictive Analytics

    Skills you'll gain: Probability Distribution, Data Science, Probability & Statistics, Predictive Analytics, Probability, Statistical Modeling, Data Analysis, Regression Analysis, Statistical Analysis, Statistical Methods, Statistical Machine Learning, Bayesian Statistics, Statistical Inference, Feature Engineering, Applied Mathematics, Python Programming, Machine Learning, Algorithms

    Build toward a degree

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    AI 时代安全性简介

    Skills you'll gain: Responsible AI, Security Strategy, Data Security, Personally Identifiable Information, Threat Management, Risking, Enterprise Security, Cybersecurity, Infrastructure Security, Security Controls, Artificial Intelligence

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Encoder-Decoder Architecture - Português Brasileiro

    Skills you'll gain: Generative AI, Generative Model Architectures, Keras (Neural Network Library), Tensorflow, Large Language Modeling, Deep Learning, Applied Machine Learning, Machine Learning

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Advanced Data Techniques for Enterprise AI Systems

    Skills you'll gain: Data Governance, Data Strategy, Data Ethics, Responsible AI, Data Management, Data Architecture, Metadata Management, Data Store, Data Loss Prevention, Data Security, Interoperability, Docker (Software), Data Storage, Data Processing, Semantic Web, Generative AI Agents, Real Time Data, Large Language Modeling, Machine Learning, Agentic systems

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Master Machine Learning with TensorFlow: Basics to Advanced

    Skills you'll gain: Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Matplotlib, Jupyter, Python Programming, Data Processing, NumPy, Data Cleansing, Image Analysis, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Zero-Shot & Few-Shot Learning: Master AI with Minimal Data

    Skills you'll gain: Prompt Engineering, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Fraud detection, Supervised Learning, Semantic Web, Deep Learning, Small Data, Machine Learning, Natural Language Processing

    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 Architecture and Administration, Cloud Computing, Big Data, Data Processing, Machine Learning, Scalability, Data Integrity, Disaster Recovery

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Mastering Neural Networks and Model Regularization

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Supervised Learning, Artificial Neural Networks, Decision Tree Learning, Machine Learning Algorithms, Machine Learning, Computer Vision, Network Architecture, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Modèles de séquence

    Skills you'll gain: Natural Language Processing, Deep Learning, Generative AI, Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Algorithms, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Feature Engineering - 한국어

    Skills you'll gain: Feature Engineering, Dataflow, Tensorflow, Data Processing, Applied Machine Learning, MLOps (Machine Learning Operations), Keras (Neural Network Library), Statistical Methods, Data Transformation, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Universidades Anáhuac

    Modelos predictivos con Machine Learning

    Skills you'll gain: Predictive Modeling, Time Series Analysis and Forecasting, Predictive Analytics, Statistical Modeling, Data Modeling, Forecasting, Supervised Learning, Machine Learning Software, Regression Analysis, Feature Engineering, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Unsupervised Learning, Statistical Analysis, Machine Learning, Jupyter

    Intermediate · Course · 1 - 4 Weeks

1…949596…111

In summary, here are 10 of our most popular 部署和执行机器人 courses

  • Introduction to AI and Machine Learning on GC - Français: Google Cloud
  • Probability Theory and Regression for Predictive Analytics: University of Pittsburgh
  • AI 时代安全性简介: Google Cloud
  • Encoder-Decoder Architecture - Português Brasileiro: Google Cloud
  • Advanced Data Techniques for Enterprise AI Systems: Fractal Analytics
  • Master Machine Learning with TensorFlow: Basics to Advanced: EDUCBA
  • Zero-Shot & Few-Shot Learning: Master AI with Minimal Data: Coursera
  • Reliability, Cloud Computing and Machine Learning: Johns Hopkins University
  • Mastering Neural Networks and Model Regularization: Johns Hopkins University
  • Modèles de séquence: DeepLearning.AI

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