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  • Scheduling Algorithms

Results for "scheduling algorithms"


  • Status: Free Trial
    Free Trial
    U
    D

    Multiple educators

    Object Oriented Programming in Java

    Skills you'll gain: Unit Testing, Data Structures, Event-Driven Programming, Interactive Data Visualization, Java, Java Programming, User Interface (UI), Object Oriented Programming (OOP), Debugging, Object Oriented Design, Computer Programming, Cryptography, Software Engineering, Performance Tuning, Encryption, Algorithms, Programming Principles, Data Analysis, Software Design, Problem Solving

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Michigan

    Problem Solving Using Computational Thinking

    Skills you'll gain: Computational Thinking, Programming Principles, Problem Solving, Computer Science, Disaster Recovery, Algorithms, Computer Programming, Public Health

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.3K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Algorithmic Thinking (Part 1)

    Skills you'll gain: Graph Theory, Algorithms, Computational Thinking, Data Analysis, Data Structures, Theoretical Computer Science, Network Analysis, Analysis, Programming Principles, Python Programming, Computer Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    384 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: Linear Algebra

    Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Data Science, Algorithms, Data Manipulation, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Data Structures and Performance

    Skills you'll gain: Unit Testing, Data Structures, Java, Performance Tuning, Debugging, Programming Principles, Algorithms, Object Oriented Programming (OOP), Theoretical Computer Science

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of California San Diego

    Biology Meets Programming: Bioinformatics for Beginners

    Skills you'll gain: Bioinformatics, Programming Principles, Python Programming, Computational Thinking, Biology, Data Structures

    4.2
    Rating, 4.2 out of 5 stars
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    1.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Machine Learning Methods, Reinforcement Learning, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Feature Engineering, Applied Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Dimensionality Reduction, Regression Analysis, Decision Tree Learning, Classification And Regression Tree (CART), Statistical Modeling

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

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Unstructured Data, Natural Language Processing, Algorithms, Computational Thinking, Test Data

    4.6
    Rating, 4.6 out of 5 stars
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    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    P

    Pontificia Universidad Católica de Chile

    Introducción a la programación en Python I: Aprendiendo a programar con Python

    Skills you'll gain: Python Programming, Data Structures, Programming Principles, Computer Programming, Program Development, Algorithms, File Management

    4.4
    Rating, 4.4 out of 5 stars
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    4.9K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Search Engine Optimization (SEO)

    Skills you'll gain: Keyword Research, Search Engine Optimization, Persona Development, Search Engine Marketing, Content Creation, Social Media Strategy, Web Analytics and SEO, Social Media, Content Strategy, Social Media Marketing, Competitive Analysis, Target Audience, Data Analysis, Digital Media Strategy, Analytics, Google Analytics, Forecasting, Content Development and Management, Content Performance Analysis, Content Marketing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    13K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Linear Algebra for Machine Learning and Data Science

    Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Data Transformation, Data Manipulation, Data Science, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.2K reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Object Oriented Programming in Java: University of California San Diego
  • Problem Solving Using Computational Thinking: University of Michigan
  • Algorithmic Thinking (Part 1): Rice University
  • Mathematics for Machine Learning: Linear Algebra: Imperial College London
  • Data Structures and Performance: University of California San Diego
  • Biology Meets Programming: Bioinformatics for Beginners: University of California San Diego
  • Introduction to Machine Learning: Duke University
  • Machine Learning with Python: IBM
  • Probabilistic Graphical Models: Stanford University
  • Introducción a la programación en Python I: Aprendiendo a programar con Python: Pontificia Universidad Católica de Chile

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