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  • Robotics

机器人课程

机器人课程可以帮助您学习机器人控制编程、传感器集成和机械设计原理。您可以掌握自动化、系统故障排除和算法开发等技能,以完成导航和物体识别等任务。许多课程都会介绍一些工具,如 ROS(机器人操作系统)、用于设计的 CAD 软件以及可让您在虚拟环境中测试机器人系统的仿真平台。


热门机器人课程和认证


  • N

    Northeastern University

    Applied Natural Language Processing in Engineering Part 1

    您将获得的技能: Natural Language Processing, Model Evaluation, Embeddings, Text Mining, Artificial Intelligence, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Machine Learning, Unsupervised Learning, Dimensionality Reduction

    混合 · 课程 · 1-3 个月

  • G

    Google Cloud

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

    您将获得的技能: Tensorflow, Model Deployment, Data Pipelines, Keras (Neural Network Library), Google Cloud Platform, Data Preprocessing, Embeddings, MLOps (Machine Learning Operations), Feature Engineering, Data Cleansing, Deep Learning, Data Transformation, Artificial Neural Networks, Model Evaluation

    中级 · 课程 · 1-3 个月

  • E

    EDUCBA

    Master Machine Learning with TensorFlow: Basics to Advanced

    您将获得的技能: Data Preprocessing, Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Convolutional Neural Networks, Matplotlib, Jupyter, Python Programming, NumPy, Data Manipulation, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis

    混合 · 课程 · 1-3 个月

  • G

    Google Cloud

    Attention Mechanism - 简体中文

    您将获得的技能: Recurrent Neural Networks (RNNs), Machine Learning Methods, Deep Learning, Artificial Neural Networks, Text Mining, Natural Language Processing

    中级 · 课程 · 1-4 周

  • G

    Google Cloud

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

    您将获得的技能: Tensorflow, Model Deployment, Keras (Neural Network Library), Google Cloud Platform, Cloud Deployment, Deep Learning, MLOps (Machine Learning Operations), Data Preprocessing, Machine Learning Methods, Artificial Neural Networks, Data Pipelines, Application Programming Interface (API)

    中级 · 课程 · 1-3 个月

  • E

    EDUCBA

    Advanced Machine Learning with R: Apply & Predict

    您将获得的技能: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Data Mining, Feature Engineering, Data Preprocessing, Model Evaluation, Exploratory Data Analysis

    混合 · 课程 · 1-4 周

  • N

    Northeastern University

    Machine Learning with Small Data Part 2

    您将获得的技能: Generative AI, Transfer Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Applied Machine Learning, Small Data, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning Methods, Computer Graphics, Machine Learning, Artificial Neural Networks, Image Analysis, Machine Learning Algorithms, Data Synthesis, Simulation and Simulation Software, Computer Vision, Simulations, 3D Modeling

    混合 · 课程 · 1-3 个月

  • E

    EDUCBA

    Deep Learning with R: Build & Predict Neural Networks

    您将获得的技能: Plot (Graphics), Data Visualization Software, R Programming, Scatter Plots, Regression Analysis, Statistical Modeling, Predictive Modeling, Artificial Neural Networks, Data Science, Deep Learning, Model Evaluation, Descriptive Statistics, Predictive Analytics, Statistical Methods, Data Manipulation, Data Preprocessing, Performance Testing

    混合 · 课程 · 1-4 周

  • G

    Google Cloud

    Attention Mechanism - 한국어

    您将获得的技能: Recurrent Neural Networks (RNNs), Applied Machine Learning, Machine Learning Methods, Large Language Modeling, Artificial Neural Networks, Embeddings, Text Mining

    中级 · 课程 · 1-4 周

  • E

    EDUCBA

    Deep Learning: Build & Optimize Neural Networks

    您将获得的技能: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Convolutional Neural Networks, Natural Language Processing, Data Preprocessing, Artificial Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, Computer Vision, Jupyter, Predictive Modeling, Machine Learning, Model Evaluation, Data Transformation

    混合 · 课程 · 1-3 个月

  • C

    CertNexus

    GenAIBIZ: Making Generative AI Work for Your Business

    您将获得的技能: Generative Model Architectures, Generative AI, AI Product Strategy, Large Language Modeling, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Business Strategy, Data Strategy, Data Ethics, Artificial Neural Networks, Process Improvement, Process Improvement and Optimization, Cloud Computing, Operational Efficiency, Process Optimization, Big Data, Customer Service, Natural Language Processing, User Experience, Marketing

    混合 · 课程 · 1-3 个月

  • G

    Google Cloud

    Attention Mechanism - בעברית

    您将获得的技能: Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Neural Networks, Large Language Modeling, Text Mining

    中级 · 课程 · 1-4 周

与 robotics 相关的搜索

robotics engineer
robotics specialization
robotics engineering & applications
robotics engineering
robotics and automation
robotics and ai
robotics process automation for smart manufacturing
robotics and autonomous systems
1…40414243

总之,以下是 10 最受欢迎的 robotics 课程

  • Applied Natural Language Processing in Engineering Part 1: Northeastern University
  • Build, Train and Deploy ML Models with Keras on Google Cloud - Português Brasileiro: Google Cloud
  • Master Machine Learning with TensorFlow: Basics to Advanced: EDUCBA
  • Attention Mechanism - 简体中文: Google Cloud
  • Build, Train and Deploy ML Models with Keras on Google Cloud - 한국어: Google Cloud
  • Advanced Machine Learning with R: Apply & Predict: EDUCBA
  • Machine Learning with Small Data Part 2: Northeastern University
  • Deep Learning with R: Build & Predict Neural Networks: EDUCBA
  • Attention Mechanism - 한국어: Google Cloud
  • Deep Learning: Build & Optimize Neural Networks: EDUCBA

您可以在 Software Development 中学到的技能

程序设计语言 (34)
Google (25)
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Google 云端平台 (18)
应用程序接口 (17)
数据数据结构 (16)
解决问题 (14)
面向对象程序设计 (13)
Kubernetes (10)
列表和标签 (10)

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