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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


  • E

    EDUCBA

    Keras Deep Learning Projects with TensorFlow

    您将获得的技能: Embeddings, Natural Language Processing, Keras (Neural Network Library), Generative AI, Convolutional Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Model Evaluation, Image Analysis, Artificial Neural Networks, Text Mining, Computer Vision, Data Preprocessing, Tensorflow, Deep Learning, Model Deployment, Applied Machine Learning, Google Cloud Platform, Jupyter, Matplotlib

    初级 · 专项课程 · 1-3 个月

  • G

    Google Cloud

    Dikkat Mekanizması

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

    中级 · 课程 · 1-4 周

  • N

    Northeastern University

    Statistical Learning for Engineering Part 1

    您将获得的技能: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction

    中级 · 课程 · 1-3 个月

  • P

    Packt

    Recommender Systems: An Applied Approach using Deep Learning

    您将获得的技能: Model Evaluation, Deep Learning, Data Preprocessing, Data Manipulation, Applied Machine Learning, Model Deployment, Artificial Neural Networks, Embeddings, Matplotlib

    中级 · 课程 · 1-4 周

  • 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

  • N

    Northeastern University

    Machine Learning and Data Analytics Part 2

    您将获得的技能: Text Mining, Data Mining, Time Series Analysis and Forecasting, Classification Algorithms, Big Data, Artificial Neural Networks, Regression Analysis, Data Science, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Unsupervised Learning, Analytics, Predictive Modeling, Forecasting, Advanced Analytics, Deep Learning, Data Preprocessing

    中级 · 课程 · 1-3 个月

  • N

    Northeastern University

    Statistical Learning for Engineering Part 2

    您将获得的技能: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering

    中级 · 课程 · 1-3 个月

  • E

    EDUCBA

    Chatbots with Keras & NLP: Build & Evaluate

    您将获得的技能: Embeddings, Natural Language Processing, Keras (Neural Network Library), Generative AI, Artificial Neural Networks, Data Preprocessing, Text Mining, Recurrent Neural Networks (RNNs), Deep Learning, Model Evaluation, Tensorflow

    混合 · 课程 · 1-4 周

  • U

    Universidades Anáhuac

    Deep Learning: Del Concepto a la Práctica

    您将获得的技能: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Image Analysis, Computer Vision, Model Evaluation, Python Programming

    初级 · 课程 · 1-4 周

  • 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

  • E

    EDUCBA

    Master AI Skills: Analyze, Build & Deploy Systems

    您将获得的技能: Computer Vision, Artificial Intelligence, Image Analysis, Natural Language Processing, Generative AI, Model Deployment, OpenAI, Amazon Bedrock, AI Workflows, AI Security, Text Mining, Robotics, Prompt Engineering, Deep Learning, Reinforcement Learning, Scalability

    初级 · 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

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

  • Keras Deep Learning Projects with TensorFlow: EDUCBA
  • Dikkat Mekanizması: Google Cloud
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Recommender Systems: An Applied Approach using Deep Learning: Packt
  • O Futuro do trabalho e o novo papel do executivo: Fundação Instituto de Administração
  • Machine Learning and Data Analytics Part 2: Northeastern University
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Chatbots with Keras & NLP: Build & Evaluate: EDUCBA
  • Deep Learning: Del Concepto a la Práctica: Universidades Anáhuac
  • Learning Deep Learning: Unit 3: Pearson

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程序设计语言 (34)
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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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