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  • Robotics 20 Engineer

Results for "robotics%20engineer"


  • Status: New
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    P

    Pearson

    Programming Generative AI

    Skills you'll gain: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Generative Model Architectures, Multimodal Prompts, Image Analysis, Computer Vision, Artificial Neural Networks, Natural Language Processing, Deep Learning, Prompt Engineering, Image Quality, Text Mining, Data Manipulation, Unsupervised Learning, Performance Tuning

    Intermediate · Specialization · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    Sungkyunkwan University

    Recommender Systems

    Skills you'll gain: Scalability, Deep Learning, Applied Machine Learning, Data Mining, Data Processing, Machine Learning, Machine Learning Algorithms, Algorithms, Artificial Neural Networks, Data Structures

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Pearson

    Programming Generative AI: Unit 1

    Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Multimodal Prompts, Artificial Neural Networks, Deep Learning, Data Manipulation

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    U

    University of Colorado System

    The data to decision path for infusion of AI in healthcare

    Skills you'll gain: Data Governance, Health Informatics, Machine Learning Algorithms, Analytics, Advanced Analytics, Data-Driven Decision-Making, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Health Information Management, Decision Support Systems, Business Analytics, Predictive Analytics, Applied Machine Learning, Health Technology, Machine Learning, Data Integration, Digital Transformation, Real Time Data, Artificial Neural Networks

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Neural Networks

    Skills you'll gain: Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Applied Machine Learning, Image Analysis, Machine Learning, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Network Architecture, Algorithms, Statistical Methods, Performance Tuning, Linear Algebra

    4.3
    Rating, 4.3 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
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    Simplilearn

    Attention Mechanisms and Transformer Models Course

    Skills you'll gain: Generative Model Architectures, Generative AI, OpenAI, Large Language Modeling, Prompt Engineering, Artificial Neural Networks, Deep Learning, Natural Language Processing, Machine Learning Methods

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
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    Packt

    Deep Learning with TensorFlow

    Skills you'll gain: Tensorflow, Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Time Series Analysis and Forecasting, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Computer Vision, Forecasting, Classification And Regression Tree (CART), Supervised Learning, Machine Learning, Text Mining, Predictive Analytics, NumPy, Regression Analysis, Network Architecture, Data Processing, Data Science

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Réseaux neuronaux convolutifs

    Skills you'll gain: Computer Vision, Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Tensorflow, Dimensionality Reduction, Visualization (Computer Graphics), Applied Machine Learning, Network Architecture, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to Computer Vision with TensorFlow

    Skills you'll gain: Tensorflow, Computer Vision, Machine Learning Methods, Development Environment, Image Analysis, Machine Learning, Google Cloud Platform, Deep Learning, Artificial Neural Networks

    5
    Rating, 5 out of 5 stars
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    6 reviews

    Beginner · Project · Less Than 2 Hours

  • C

    Coursera

    Classify Radio Signals with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Machine Learning Methods, Digital Communications, Deep Learning, Artificial Neural Networks, Computer Vision, Telecommunications

    3.7
    Rating, 3.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
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    Packt

    R Ultimate 2024 - R for Data Science and Machine Learning

    Skills you'll gain: Rmarkdown, Shiny (R Package), Deep Learning, Data Import/Export, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Plotly, Applied Machine Learning, Machine Learning Algorithms, Web Scraping, Artificial Intelligence, Dimensionality Reduction, Interactive Data Visualization, Statistical Analysis, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML)

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

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

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, Deep Learning, MLOps (Machine Learning Operations), Application Deployment, Artificial Neural Networks, Machine Learning, Data Processing, Scalability

    3.4
    Rating, 3.4 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular robotics%20engineer courses

  • Programming Generative AI: Pearson
  • Recommender Systems: Sungkyunkwan University
  • Programming Generative AI: Unit 1: Pearson
  • The data to decision path for infusion of AI in healthcare: University of Colorado System
  • Introduction to Neural Networks: Johns Hopkins University
  • Attention Mechanisms and Transformer Models Course: Simplilearn
  • Deep Learning with TensorFlow: Packt
  • Réseaux neuronaux convolutifs: DeepLearning.AI
  • Introduction to Computer Vision with TensorFlow: Google Cloud
  • Classify Radio Signals with PyTorch: Coursera

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