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  • C Algorithms

Results for "c algorithms"


  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
    ·
    450 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    ARM Cortex (STM32) Deep Dive: Mastering Embedded Systems

    Skills you'll gain: Embedded Software, Embedded Systems, Peripheral Devices, C (Programming Language), System Programming, Hardware Architecture, Data Structures, Debugging, Performance Tuning, Integrated Development Environments, Verification And Validation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    49 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Linux Basics: The Command Line Interface - 6

    Skills you'll gain: Command-Line Interface, Linux Commands, Linux, Embedded Systems, Linux Servers, Computer Engineering, File Systems, Unix, Operating Systems, C (Programming Language), Computer Programming, Open Source Technology

    4.6
    Rating, 4.6 out of 5 stars
    ·
    33 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    A

    Arizona State University

    Bayesian Statistical Concepts and Methods

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Bayesian Network, Statistical Methods, Statistical Analysis, Data Analysis, R Programming, Data-Driven Decision-Making, Statistical Inference, Markov Model, Simulations, Probability Distribution

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Foundations of Embedded Software Design

    Skills you'll gain: Embedded Software, Embedded Systems, Pseudocode, Hardware Architecture, Computer Architecture, Software Design, Software Design Patterns, Systems Design, Systems Integration, Programming Principles, Event-Driven Programming, Program Development, Real Time Data, Peripheral Devices

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    Fundamentals of Java Programming

    Skills you'll gain: Eclipse (Software), Java Programming, Object Oriented Programming (OOP), Java, Object Oriented Design, Integrated Development Environments, Development Environment, Computer Programming, Debugging, Virtual Machines, Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    619 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Learn to Choose the Right ML Model

    Skills you'll gain: MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Responsible AI, Regression Analysis, Classification And Regression Tree (CART), Case Studies, Continuous Monitoring, Performance Metric

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    AI for Design and Optimization

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Generative AI, Artificial Intelligence, Technical Design, Machine Learning, Data-Driven Decision-Making, Deep Learning, Applied Machine Learning, Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    66 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Pattern Discovery in Data Mining

    Skills you'll gain: Data Mining, Big Data, Anomaly Detection, Text Mining, Unstructured Data, Exploratory Data Analysis, Spatial Analysis, Advanced Analytics, Image Analysis, Algorithms, Classification Algorithms, Information Privacy

    4.3
    Rating, 4.3 out of 5 stars
    ·
    326 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Columbia University

    Decision Making and Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Markov Model, Deep Learning, Data-Driven Decision-Making, Decision Support Systems, Simulations, Probability Distribution, Statistical Methods

    4.3
    Rating, 4.3 out of 5 stars
    ·
    21 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Tools for Data Science

    Skills you'll gain: Jupyter, Computer Programming Tools, Data Visualization Software, Data Science, GitHub, R (Software), Big Data, R Programming, Model Deployment, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Other Programming Languages, Version Control, Python Programming, Open Source Technology

    4.5
    Rating, 4.5 out of 5 stars
    ·
    30K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Recommender Systems

    Skills you'll gain: AI Personalization, Model Evaluation, Machine Learning Algorithms, Taxonomy, Decision Support Systems, Business Metrics, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Performance Metric, Spreadsheet Software, Data Collection, Performance Measurement, Benchmarking, Data Validation, Exploratory Data Analysis, A/B Testing, Analysis, Predictive Analytics, Predictive Modeling

    4.3
    Rating, 4.3 out of 5 stars
    ·
    831 reviews

    Intermediate · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular c algorithms courses

  • Supervised Machine Learning: Classification: IBM
  • ARM Cortex (STM32) Deep Dive: Mastering Embedded Systems: EDUCBA
  • Linux Basics: The Command Line Interface - 6: Dartmouth College
  • Bayesian Statistical Concepts and Methods: Arizona State University
  • Foundations of Embedded Software Design: Coursera
  • Fundamentals of Java Programming: Board Infinity
  • Learn to Choose the Right ML Model: Coursera
  • AI for Design and Optimization: University of Michigan
  • Pattern Discovery in Data Mining: University of Illinois Urbana-Champaign
  • Decision Making and Reinforcement Learning: Columbia University

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