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  • Approximation Algorithm

Results for "approximation algorithm"


  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    M

    Microsoft

    Microsoft Cybersecurity Analyst

    Skills you'll gain: Threat Modeling, MITRE ATT&CK Framework, Penetration Testing, Azure Active Directory, Network Security, Computer Systems, Security Information and Event Management (SIEM), Security Testing, Encryption, Cybersecurity, System Testing, Cloud Security, Vulnerability Scanning, Threat Management, Cloud Computing, Authentications, Active Directory, Operating Systems, Data Management, Computer Security Incident Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.9K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Coding Interview Preparation

    Skills you'll gain: Data Structures, Algorithms, Software Visualization, Pseudocode, Programming Principles, Computational Thinking, Theoretical Computer Science, Computer Science, Technical Communication, Communication

    4.6
    Rating, 4.6 out of 5 stars
    ·
    775 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Security Analyst Fundamentals

    Skills you'll gain: Digital Forensics, 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, Application Security, Encryption, Security Management, Cybersecurity, Vulnerability Scanning, Cyber Security Assessment, Endpoint Detection and Response, Vulnerability Assessments

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

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Fundamentals of Computing

    Skills you'll gain: Computational Thinking, Event-Driven Programming, Algorithms, Combinatorics, Graph Theory, Programming Principles, Application Development, Object Oriented Programming (OOP), Data Structures, Probability, Bioinformatics, Interactive Design, Program Development, Big Data, Python Programming, Data Analysis, User Interface (UI), Machine Learning Algorithms, Theoretical Computer Science, Computer Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Machine Learning Foundations for Product Managers

    Skills you'll gain: Deep Learning, Model Evaluation, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Decision Tree Learning, Computer Vision, Logistic Regression, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    744 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    A Crash Course in Data Science

    Skills you'll gain: Data Science, Data Management, Data Analysis, Data-Driven Decision-Making, Project Design, Performance Metric, Software Engineering, Machine Learning, Statistical Inference

    4.5
    Rating, 4.5 out of 5 stars
    ·
    8.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDHEC Business School

    Investment Management with Python and Machine Learning

    Skills you'll gain: Investment Management, Portfolio Management, Text Mining, Portfolio Risk, Asset Management, Network Analysis, Data Visualization Software, Investments, Machine Learning Methods, Return On Investment, Unstructured Data, Predictive Modeling, Web Scraping, Machine Learning, Social Network Analysis, Financial Statements, Applied Machine Learning, Financial Market, Financial Modeling, Risk Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.8K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Neurology, Computer Science, Reinforcement Learning, Computational Thinking, Bioinformatics, Mathematical Modeling, Physiology, Recurrent Neural Networks (RNNs), Biology, Linear Algebra, Statistical Methods, Information Architecture, Differential Equations, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Build & Evaluate Decision Trees for ML

    Skills you'll gain: Model Evaluation, Decision Tree Learning, Data Preprocessing, Classification Algorithms, Applied Machine Learning, Java, Predictive Modeling, Machine Learning Software, Supervised Learning, Technical Communication, Feature Engineering, Tree Maps, MLOps (Machine Learning Operations), Machine Learning Algorithms, Machine Learning, Algorithms

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Fundamentals of Model Checking

    Skills you'll gain: Computational Logic, Systems Design, Verification And Validation, Systems Analysis, Software Systems, Theoretical Computer Science, Computational Thinking, System Design and Implementation, Simulations, Programming Principles, Software Architecture, Software Design, Model Evaluation, Graph Theory, Software Testing, Hardware Architecture, Software Quality Assurance, Computer Architecture, Algorithms, Logical Reasoning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Build AI Apps Like a Pro: No-Code Tools for Beginners

    Skills you'll gain: User Story, Prompt Engineering, No-Code Development, User Feedback, Technical Communication, Application Deployment, AI Security, Performance Tuning, Data Wrangling, Version Control, Business Process Automation, API Testing, DevSecOps, Site Reliability Engineering, Integration Testing, Application Security, Application Programming Interface (API), Agile Methodology, LLM Application, Data Integration

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science: Statistics and Machine Learning

    Skills you'll gain: Shiny (R Package), Rmarkdown, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Statistical Machine Learning, Data Presentation, Data Visualization, Statistical Analysis, Statistical Modeling, R Programming, Machine Learning, GitHub

    4.4
    Rating, 4.4 out of 5 stars
    ·
    7.2K reviews

    Intermediate · Specialization · 3 - 6 Months

Searches related to approximation algorithm

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approximation algorithms and linear programming
approximation algorithms part ii
1…181920…165

In summary, here are 10 of our most popular approximation algorithm courses

  • Microsoft Cybersecurity Analyst: Microsoft
  • Coding Interview Preparation: Meta
  • Security Analyst Fundamentals: IBM
  • Fundamentals of Computing: Rice University
  • Machine Learning Foundations for Product Managers: Duke University
  • A Crash Course in Data Science: Johns Hopkins University
  • Investment Management with Python and Machine Learning: EDHEC Business School
  • Computational Neuroscience: University of Washington
  • Build & Evaluate Decision Trees for ML: Coursera
  • Fundamentals of Model Checking: University of Colorado Boulder

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