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  • Robotics 20 Engineer

Results for "robotics%20engineer"


  • Status: New
    New
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    DeepLearning.AI

    PyTorch: Advanced Architectures and Deployment

    Skills you'll gain: PyTorch (Machine Learning Library), Generative AI, Deep Learning, MLOps (Machine Learning Operations), Application Deployment, Software Visualization, Artificial Neural Networks, Computer Vision, Dimensionality Reduction

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
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    N

    Northeastern University

    Applied Natural Language Processing in Engineering Part 2

    Skills you'll gain: Large Language Modeling, Natural Language Processing, PyTorch (Machine Learning Library), Artificial Neural Networks, Machine Learning Methods, Deep Learning, Applied Machine Learning, Statistical Machine Learning, Algorithms

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    AI Deep Learning Projects with TensorFlow

    Skills you'll gain: Tensorflow, Computer Vision, Deep Learning, Amazon Elastic Compute Cloud, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Application Deployment, Applied Machine Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Software Installation, Feature Engineering, Application Development, Data Processing, System Requirements

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    DeepLearning.AI

    PyTorch: Techniques and Ecosystem Tools

    Skills you'll gain: Artificial Neural Networks

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Bayesian Network, Artificial Neural Networks, Predictive Analytics, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Statistical Methods, Artificial Intelligence, Regression Analysis, Statistical Inference

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    EDUCBA

    Master CNNs with Python: Build, Train & Evaluate Models

    Skills you'll gain: Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Computer Vision, Tensorflow, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Python Programming, Google Cloud Platform, Development Environment

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    State Estimation and Localization for Self-Driving Cars

    Skills you'll gain: Global Positioning Systems, Estimation, Machine Learning Methods, Computer Vision, Control Systems, Data Integration, Mathematical Modeling, Spatial Analysis, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    838 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    H

    Hebrew University of Jerusalem

    Synapses, Neurons and Brains

    Skills you'll gain: Electrophysiology, Artificial Neural Networks, Neurology, Computer Science, Cell Biology, Physiology, Psychology, Basic Electrical Systems, Network Analysis, Computational Logic, Simulation and Simulation Software, Mathematical Modeling, Biology

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.3K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: Multivariate Calculus

    Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Statistical Analysis, Linear Algebra, Artificial Neural Networks, Python Programming, Derivatives

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.7K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Introduction to Trading, Machine Learning & GCP

    Skills you'll gain: Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Supervised Learning, Time Series Analysis and Forecasting, Financial Trading, Deep Learning, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Securities Trading, Technical Analysis, Financial Forecasting, Quantitative Research, Financial Modeling, Forecasting, Regression Analysis, Finance

    4
    Rating, 4 out of 5 stars
    ·
    889 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Build Basic Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Deep Learning, Responsible AI, Artificial Neural Networks, Data Ethics, Computer Vision, Unsupervised Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    T

    The University of Tokyo

    Interactive Computer Graphics

    Skills you'll gain: Visualization (Computer Graphics), Interactive Design, Computer Graphics, Computer Graphic Techniques, Human Computer Interaction, Animations, User Interface (UI), Design, 3D Assets, Technical Design, Algorithms, Simulations

    4
    Rating, 4 out of 5 stars
    ·
    315 reviews

    Intermediate · Course · 1 - 3 Months

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

  • PyTorch: Advanced Architectures and Deployment: DeepLearning.AI
  • Applied Natural Language Processing in Engineering Part 2: Northeastern University
  • AI Deep Learning Projects with TensorFlow: EDUCBA
  • PyTorch: Techniques and Ecosystem Tools: DeepLearning.AI
  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
  • Master CNNs with Python: Build, Train & Evaluate Models: EDUCBA
  • State Estimation and Localization for Self-Driving Cars: University of Toronto
  • Synapses, Neurons and Brains : Hebrew University of Jerusalem
  • Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
  • Introduction to Trading, Machine Learning & GCP: Google Cloud

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