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  • C Algorithms

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Results for "c++ algorithms"


  • Status: Free Trial
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    J

    Johns Hopkins University

    Introduction to Parallel Programming with CUDA

    Skills you'll gain: Performance Tuning, Data-oriented programming, System Programming, C and C++, Computer Architecture, Algorithms, Development Environment, Debugging

    2.7
    Rating, 2.7 out of 5 stars
    ·
    62 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Trees and Graphs: Basics

    Skills you'll gain: Graph Theory, Data Structures, Algorithms, Tree Maps, Network Analysis, Computational Thinking, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    182 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    D

    Duke University

    Java Programming: Solving Problems with Software

    Skills you'll gain: Debugging, Java, Algorithms, Java Programming, Program Development, Programming Principles, Statistical Analysis, Software Design, Computer Programming, Data Import/Export, Integrated Development Environments, File I/O, Data Processing, Software Documentation, Data Manipulation, Object Oriented Programming (OOP), API Design, Data Analysis, Software Testing, Problem Solving

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Pennsylvania

    Computational Thinking for Problem Solving

    Skills you'll gain: Computational Thinking, Algorithms, Program Development, Pseudocode, Problem Solving, Python Programming, Data Structures, Computer Hardware, Computer Programming, Object Oriented Programming (OOP), Analysis, Debugging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    D

    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Machine Learning Algorithms, Data Preprocessing, Machine Learning, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.1K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
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    D

    Duke University

    Introductory C Programming

    Skills you'll gain: Debugging, File I/O, Programming Principles, Maintainability, Software Testing, Program Development, C (Programming Language), Algorithms, Simulations, System Programming, Computer Programming, Data Structures, Software Development, Software Engineering, Command-Line Interface, Development Environment, User Interface (UI), Solution Design, Problem Solving, Software Design

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    I

    IBM

    IBM AI Engineering

    Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, Transfer Learning, PyTorch (Machine Learning Library), Model Evaluation, Computer Vision, Retrieval-Augmented Generation, Unsupervised Learning, Generative Model Architectures, Generative AI, PySpark, Vision Transformer (ViT), Keras (Neural Network Library), LLM Application, Supervised Learning, Vector Databases, Machine Learning, Python Programming, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Genome Assembly Programming Challenge

    Skills you'll gain: Bioinformatics, Epidemiology, Graph Theory, Infectious Diseases, Program Development, Molecular Biology, Computational Thinking, Algorithms, Software Development

    4.5
    Rating, 4.5 out of 5 stars
    ·
    347 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    IBM

    What is Data Science?

    Skills you'll gain: Data Literacy, Data Mining, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Deep Learning, Machine Learning, Artificial Intelligence

    4.7
    Rating, 4.7 out of 5 stars
    ·
    77K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Machine Learning, Dimensionality Reduction, Decision Tree Learning, Python Programming, Logistic Regression, Classification Algorithms, Feature Engineering

    4.7
    Rating, 4.7 out of 5 stars
    ·
    18K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Business Intelligence (BI) Analysts

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Interactive Data Visualization, Business Intelligence, Data Presentation, Infographics, Data Visualization, Dashboard, Data Storytelling, Prototyping, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI Workflows, Deep Learning, SQL, Data Analysis, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    É

    École Polytechnique Fédérale de Lausanne

    Parallel programming

    Skills you'll gain: Scala Programming, Data Structures, Distributed Computing, Algorithms, Functional Design, Java Programming, Other Programming Languages, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Introduction to Parallel Programming with CUDA: Johns Hopkins University
  • Trees and Graphs: Basics: University of Colorado Boulder
  • Java Programming: Solving Problems with Software: Duke University
  • Computational Thinking for Problem Solving: University of Pennsylvania
  • Mathematics for Machine Learning and Data Science: DeepLearning.AI
  • Introductory C Programming: Duke University
  • IBM AI Engineering: IBM
  • Genome Assembly Programming Challenge: University of California San Diego
  • What is Data Science? : IBM
  • Machine Learning with Python: IBM

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