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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


  • 状态:免费试用
    免费试用
    P

    Pearson

    Learning Deep Learning: Unit 3

    您将获得的技能: Large Language Modeling, Prompt Engineering, Image Analysis, Model Deployment, PyTorch (Machine Learning Library), Deep Learning, Vision Transformer (ViT), Tensorflow, Convolutional Neural Networks, LLM Application, Transfer Learning, Computer Vision, Responsible AI, Generative AI, Multimodal Prompts, Artificial Neural Networks, Artificial Intelligence, Performance Tuning

    中级 · 课程 · 1-4 周

  • 状态:预览
    预览
    F

    Fundação Instituto de Administração

    O Futuro do trabalho e o novo papel do executivo

    您将获得的技能: Workforce Planning, Digital Transformation, Professional Development, Business Transformation, Diversity and Inclusion, Leadership, Telecommuting, Emerging Technologies, Robotics, Technology Solutions, Augmented Reality, Virtual Reality

    中级 · 课程 · 1-4 周

  • 状态:新
    新
    P

    Packt

    ChatGPT and Prompt Engineering With Advanced Data Analysis

    您将获得的技能: AI Workflows, Artificial Neural Networks

    中级 · 课程 · 3-6 个月

  • 状态:新
    新
    状态:预览
    预览
    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

  • 状态:预览
    预览
    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

  • 状态:预览
    预览
    G

    Google Cloud

    Attention Mechanism - Español

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

    中级 · 课程 · 1-4 周

  • 状态:预览
    预览
    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, Keras (Neural Network Library), Data Pipelines, Google Cloud Platform, Data Preprocessing, Cloud Deployment, Deep Learning, Data Transformation, Artificial Neural Networks

    中级 · 课程 · 1-3 个月

  • 状态:预览
    预览
    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

  • 状态:新
    新
    状态:免费试用
    免费试用
    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, Machine Learning Algorithms, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Data Mining, Data Preprocessing, Model Evaluation, Exploratory Data Analysis, Probability & Statistics

    混合 · 课程 · 1-4 周

  • 状态:预览
    预览
    G

    Google Cloud

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

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

    中级 · 课程 · 1-3 个月

  • 状态:新
    新
    状态:免费试用
    免费试用
    P

    Packt

    Deep Learning & Modern AI Architectures

    您将获得的技能: Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, PyTorch (Machine Learning Library), Image Analysis, Natural Language Processing, Computer Vision, Model Evaluation, Data Preprocessing

    中级 · 课程 · 1-3 个月

  • 状态:预览
    预览
    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

1…41424344

总之,以下是 10 最受欢迎的 robotics 课程

  • Learning Deep Learning: Unit 3: Pearson
  • O Futuro do trabalho e o novo papel do executivo: Fundação Instituto de Administração
  • ChatGPT and Prompt Engineering With Advanced Data Analysis: Packt
  • Applied Natural Language Processing in Engineering Part 1: Northeastern University
  • Master Machine Learning with TensorFlow: Basics to Advanced: EDUCBA
  • Attention Mechanism - Español: Google Cloud
  • Build, Train and Deploy ML Models with Keras on Google Cloud - Português Brasileiro: Google Cloud
  • Attention Mechanism - 简体中文: Google Cloud
  • Advanced Machine Learning with R: Apply & Predict: EDUCBA
  • Build, Train and Deploy ML Models with Keras on Google Cloud - 한국어: Google Cloud

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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