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  • Randomized Algorithm

Results for "randomized algorithm"


  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Finding Hidden Messages in DNA (Bioinformatics I)

    Skills you'll gain: Bioinformatics, Molecular Biology, Data Analysis, Biochemistry, Biology, Algorithms, Microbiology, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Algorithms, Deep Learning, Simulations, Feature Engineering, Markov Model, Supervised Learning, Algorithms, Artificial Neural Networks, Performance Testing, Linear Algebra, Performance Tuning, Predictive Modeling, Pseudocode, Probability Distribution

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Specialization · 3 - 6 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, Statistical Programming, Machine Learning, Cloud Computing, Git (Version Control System), IBM Cloud, Development Environment, Other Programming Languages, Version Control, Query Languages, 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
    D

    DeepLearning.AI

    Structuring Machine Learning Projects

    Skills you'll gain: Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Debugging, Data-Driven Decision-Making, Artificial Neural Networks, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    50K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Practical Machine Learning

    Skills you'll gain: Predictive Modeling, Machine Learning Algorithms, Feature Engineering, Supervised Learning, Classification And Regression Tree (CART), Predictive Analytics, Applied Machine Learning, R Programming, Machine Learning, Random Forest Algorithm, Regression Analysis, Data Processing, Data Collection

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Shortest Paths Revisited, NP-Complete Problems and What To Do About Them

    Skills you'll gain: Algorithms, Graph Theory, Theoretical Computer Science, Computational Thinking, Data Structures, Pseudocode, Operations Research

    4.8
    Rating, 4.8 out of 5 stars
    ·
    828 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Coding for Everyone: C and C++

    Skills you'll gain: C++ (Programming Language), C (Programming Language), Object Oriented Programming (OOP), Programming Principles, Software Design Patterns, Debugging, Computer Programming, Object Oriented Design, Algorithms, Data Structures, Pseudocode, Command-Line Interface, Graph Theory, Artificial Intelligence, File Systems, Game Design

    4.5
    Rating, 4.5 out of 5 stars
    ·
    9.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    C and Go: Classical and Modern Programming

    Skills you'll gain: Go (Programming Language), Data Structures, C and C++, C (Programming Language), Programming Principles, Object Oriented Programming (OOP), Debugging, C++ (Programming Language), Computer Programming, Unit Testing, Integrated Development Environments, Computer Science, Pseudocode, Command-Line Interface, Algorithms, File Systems, Integration Testing, Software Design

    4.5
    Rating, 4.5 out of 5 stars
    ·
    7.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing

    Skills you'll gain: Natural Language Processing, Supervised Learning, Markov Model, Text Mining, Dimensionality Reduction, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Machine Learning Methods, Data Processing, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Algorithms, Keras (Neural Network Library), Unstructured Data, Probability & Statistics, Linear Algebra

    4.6
    Rating, 4.6 out of 5 stars
    ·
    6.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Java Programming: Arrays, Lists, and Structured Data

    Skills you'll gain: Java Programming, Object Oriented Programming (OOP), Data Structures, Java, Cryptography, Software Engineering, Computer Programming, Algorithms, Encryption, Data Analysis, Data Processing, Web Servers, File Management, Debugging

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.2K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Regression Analysis, Dimensionality Reduction, Statistical Methods, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Processing, Data Access, Machine Learning, Statistics, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Statistical Analysis, Data Analysis, Applied Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Security Analyst Fundamentals

    Skills you'll gain: Cyber Threat Hunting, Incident Response, Cyber Threat Intelligence, Penetration Testing, Computer Security Incident Management, Intrusion Detection and Prevention, Threat Modeling, Threat Detection, MITRE ATT&CK Framework, Cryptography, Security Testing, Incident Management, Application Security, Encryption, Security Management, Cybersecurity, Vulnerability Scanning, Vulnerability Assessments, Open Web Application Security Project (OWASP), Security Information and Event Management (SIEM)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.5K reviews

    Beginner · Specialization · 3 - 6 Months

Searches related to randomized algorithm

divide and conquer, sorting and searching, and randomized algorithms
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In summary, here are 10 of our most popular randomized algorithm courses

  • Finding Hidden Messages in DNA (Bioinformatics I): University of California San Diego
  • Reinforcement Learning: University of Alberta
  • Tools for Data Science: IBM
  • Structuring Machine Learning Projects: DeepLearning.AI
  • Practical Machine Learning: Johns Hopkins University
  • Shortest Paths Revisited, NP-Complete Problems and What To Do About Them: Stanford University
  • Coding for Everyone: C and C++: University of California, Santa Cruz
  • C and Go: Classical and Modern Programming: University of California, Santa Cruz
  • Natural Language Processing: DeepLearning.AI
  • Java Programming: Arrays, Lists, and Structured Data: Duke University

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