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  • Algorithms Princeton

Results for "algorithms princeton"


  • Status: Preview
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    S

    Simplilearn

    Programming with C ++

    Skills you'll gain: Object Oriented Programming (OOP), C++ (Programming Language), Computer Programming, Programming Principles, Algorithms, Data Structures, Development Environment, Data Management, Data Manipulation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    57 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to Computer Vision

    Skills you'll gain: Computer Vision, Image Analysis, Computer Graphics, Visualization (Computer Graphics), Artificial Intelligence, Data Ethics, Generative AI, Deep Learning, Applied Machine Learning, Linear Algebra, Microsoft Excel, Data Transformation, Feature Engineering, Data Manipulation

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    17 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of London

    Introduction to Applied Cryptography

    Skills you'll gain: Cryptography, Application Security, Cybersecurity, Encryption, Vulnerability Assessments, Key Management, Public Key Cryptography Standards (PKCS), Authentications, Mobile Security, Data Integrity

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    76 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Columbia University

    Visual Perception

    Skills you'll gain: Computer Vision, Image Analysis, Dimensionality Reduction, Artificial Neural Networks, Unsupervised Learning, Deep Learning, Graph Theory, Machine Learning Algorithms, Machine Learning, Linear Algebra

    4.6
    Rating, 4.6 out of 5 stars
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    34 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    P

    Pontificia Universidad Católica de Chile

    Programación en Python II: aprendiendo a estructurar datos

    Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Programming Principles, Algorithms, Program Development, Computational Thinking, Python Programming, Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    105 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    Machine Learning Rock Star – the End-to-End Practice

    Skills you'll gain: Predictive Modeling, Responsible AI, Predictive Analytics, Machine Learning, Data Ethics, MLOps (Machine Learning Operations), Applied Machine Learning, Data-Driven Decision-Making, Statistical Modeling, Performance Measurement, Supervised Learning, Business Ethics, Decision Tree Learning, Artificial Intelligence and Machine Learning (AI/ML), Leadership and Management, Business Analytics, Data Science, Machine Learning Algorithms, Artificial Intelligence, Data Processing

    4.8
    Rating, 4.8 out of 5 stars
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    189 reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Les Expressions Lambda et Java

    Skills you'll gain: Java, Java Programming, Algorithms, Computational Thinking, Programming Principles, Object Oriented Programming (OOP), Computer Programming, Functional Design, Development Environment

    4.6
    Rating, 4.6 out of 5 stars
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    12 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    U

    Universidad de Palermo

    Introduction to Java

    Skills you'll gain: Eclipse (Software), Java, Java Programming, Object Oriented Programming (OOP), Integrated Development Environments, Data Structures, Programming Principles, Algorithms, Computer Programming, Development Environment, Debugging, Software Development

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls

    Skills you'll gain: Responsible AI, Machine Learning, Data Ethics, Predictive Analytics, Statistical Modeling, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Machine Learning Algorithms, Decision Tree Learning, Data Analysis, Regression Analysis, Performance Analysis, Deep Learning, Artificial Neural Networks

    4.9
    Rating, 4.9 out of 5 stars
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    64 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science Capstone

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Data Science, Data Analysis, Data Presentation, Data Collection, Data Storytelling, Data Cleansing, Statistical Analysis, Data Manipulation, R Programming, Machine Learning, Natural Language Processing

    4.5
    Rating, 4.5 out of 5 stars
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    1.2K reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Basic Image Classification with TensorFlow

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Image Analysis, Artificial Neural Networks, Deep Learning, Machine Learning Methods, Computer Vision, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    847 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    U

    University of California, Santa Cruz

    AI, Empathy & Ethics

    Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Artificial Neural Networks, Ethical Standards And Conduct, Network Model, Machine Learning, Supervised Learning, Reinforcement Learning, Policy Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    415 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Programming with C ++: Simplilearn
  • Introduction to Computer Vision: University of Colorado Boulder
  • Introduction to Applied Cryptography: University of London
  • Visual Perception: Columbia University
  • Programación en Python II: aprendiendo a estructurar datos: Pontificia Universidad Católica de Chile
  • Machine Learning Rock Star – the End-to-End Practice: SAS
  • Les Expressions Lambda et Java: Coursera
  • Introduction to Java: Universidad de Palermo
  • Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls: SAS
  • Data Science Capstone: Johns Hopkins University

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