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  • Programming Embedded C Python


Results for "programming (embedded c, python)"


  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Cyber Security: Application of AI

    Skills you'll gain: Cyber Security Strategy, Cyber Threat Intelligence, Intrusion Detection and Prevention, Cybersecurity, Artificial Intelligence and Machine Learning (AI/ML), Threat Modeling, Machine Learning Methods

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Foundations of Neural Networks

    Skills you'll gain: Responsible AI, Autoencoders, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Debugging, Artificial Intelligence, Image Analysis, Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Computer Vision

    4.5
    Rating, 4.5 out of 5 stars
    ·
    16 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Advanced Deep Learning Techniques for Computer Vision

    Skills you'll gain: Model Deployment, Anomaly Detection, Image Analysis, Computer Vision, Matlab, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Transfer Learning, Data Synthesis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Selecting the Right LLM with Hugging Face

    Skills you'll gain: Hugging Face, Model Evaluation, LLM Application, Large Language Modeling, Model Deployment, Computer Programming, Generative Model Architectures

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 2

    28DIGITAL

    Quantitative Model Checking

    Skills you'll gain: Computational Logic, Markov Model, Verification And Validation, Theoretical Computer Science, Mathematical Modeling, Systems Analysis, Statistical Modeling, Probability, Algorithms, Probability Distribution

    4.3
    Rating, 4.3 out of 5 stars
    ·
    54 reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    C++ 20 Mastery - Pure and Unfiltered

    Skills you'll gain: C++ (Programming Language), Maintainability, Software Design Patterns, Programming Principles, Algorithms, Data Structures, Performance Tuning, Debugging

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Learn to Code with Ruby

    Skills you'll gain: Ruby (Programming Language), File I/O, Object Oriented Programming (OOP), Ruby on Rails, Debugging, Software Design Patterns, Software Documentation, Testability, Scripting Languages, Development Environment, Integrated Development Environments, Computer Programming, Development Testing, Programming Principles, Data Structures, Scripting, Apple Xcode, Web Development, Program Development, Package and Software Management

    4.4
    Rating, 4.4 out of 5 stars
    ·
    17 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    E

    Erasmus University Rotterdam

    Multilevel Modeling

    Skills you'll gain: R Programming, Statistical Modeling, Statistical Methods, Regression Analysis, Statistical Analysis, R (Software), Data Preprocessing, Data Quality, Model Evaluation

    3.9
    Rating, 3.9 out of 5 stars
    ·
    19 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Using probability distributions for real world problems in R

    Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    37 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    E

    EDUCBA

    Persistent Memory Technology - Introduction and Deployment

    Skills you'll gain: Transaction Processing, Data Persistence, Performance Tuning, System Programming, Operating Systems, C++ (Programming Language), System Configuration, Computer Architecture, Data Storage, Computer Hardware, Data Storage Technologies, Application Development

    5
    Rating, 5 out of 5 stars
    ·
    71 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Intro to NumPy

    Skills you'll gain: NumPy, Scientific Visualization, Data Visualization, Jupyter, Time Series Analysis and Forecasting, Graphing, Data Structures, Python Programming, Numerical Analysis, Data Manipulation, Mathematical Software, Data Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    T

    The University of Chicago

    Machine Learning: Concepts and Applications

    Skills you'll gain: Keras (Neural Network Library), Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Model Evaluation, Data Preprocessing, Statistical Methods, Tensorflow, Feature Engineering, Pandas (Python Package)

    3.9
    Rating, 3.9 out of 5 stars
    ·
    25 reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular programming (embedded c, python) courses

  • Cyber Security: Application of AI: Macquarie University
  • Foundations of Neural Networks: Johns Hopkins University
  • Advanced Deep Learning Techniques for Computer Vision: MathWorks
  • Selecting the Right LLM with Hugging Face: Coursera
  • Quantitative Model Checking: 28DIGITAL
  • C++ 20 Mastery - Pure and Unfiltered: Packt
  • Learn to Code with Ruby: Packt
  • Multilevel Modeling: Erasmus University Rotterdam
  • Using probability distributions for real world problems in R: Coursera
  • Persistent Memory Technology - Introduction and Deployment: EDUCBA

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