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  • Greedy Algorithm

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Results for "greedy algorithm"


  • 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

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    AI Fundamentals for Non-Data Scientists

    Skills you'll gain: Generative AI, Big Data, Machine Learning Algorithms, Generative Adversarial Networks (GANs), Machine Learning, Customer Data Management, Autoencoders, Artificial Intelligence, Deep Learning, Model Evaluation, Algorithms, Process Optimization, Data Analysis, Artificial Neural Networks

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1K reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    A

    Alex Genadinik

    Fiverr Freelancing: Strategies To Become a Top-1% Freelancer

    Skills you'll gain: Customer Retention, Sales Strategy, Upselling, Customer Acquisition Management, Revenue Management, Telecommuting, Growth Strategies, Entrepreneurship, Search Engine Optimization, Self-Starter, Copywriting, Branding

    Mixed · Course · 1 - 3 Months

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

    Coursera

    Grow Trees & Powerful Ensembles

    Skills you'll gain: Classification And Regression Tree (CART), Model Deployment, Decision Tree Learning, Predictive Modeling, Model Evaluation, Feature Engineering, Machine Learning Methods, Random Forest Algorithm, Applied Machine Learning, Performance Tuning, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • 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
    ·
    784 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    U

    Universitat Politècnica de València

    IT Fundamentals for Business Profiles: Programming

    Skills you'll gain: Computational Thinking, Programming Principles, Web Development, Database Management, Object Oriented Programming (OOP), Information Technology, Databases, Information Systems, Computer Programming, Algorithms, SQL, Hypertext Markup Language (HTML), Data Structures, Cascading Style Sheets (CSS), Javascript

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Genomic Technologies

    Skills you'll gain: Bioinformatics, Data Science, Molecular Biology, Data Analysis, Computer Science, Statistical Analysis, Computational Thinking, Biostatistics, Statistics, Software Engineering, Algorithms, Biology

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.9K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    A

    Alex Genadinik

    Cryptocurrency Security: Cold Storage & Paper Wallets

    Skills you'll gain: Data Security, Risk Management Framework, Key Management, Cybersecurity, Encryption, Data Storage, USB, Blockchain, Computer Hardware

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    AI Engineering Masterclass: From Zero to AI Hero

    Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Supervised Learning, Feature Engineering, Transfer Learning, NumPy, Matplotlib, Convolutional Neural Networks, Statistical Methods, Deep Learning, Applied Machine Learning, Data Visualization, Keras (Neural Network Library), Python Programming, Pandas (Python Package), Seaborn, Applied Mathematics, Machine Learning, Machine Learning Algorithms, Tensorflow

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Network Model, Supervised Learning, Machine Learning Algorithms, Artificial Neural Networks, Reinforcement Learning, Matlab, Mathematical Modeling, Computational Thinking, Recurrent Neural Networks (RNNs), Applied Mathematics, Physiology, Biology, Linear Algebra, Differential Equations, Probability & Statistics

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

    Beginner · 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, Bayesian Statistics, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Algorithms, Model Evaluation, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    AI For Business

    Skills you'll gain: AI Personalization, Fraud detection, Generative AI, Responsible AI, Data Ethics, AI Enablement, AI Product Strategy, Data Governance, Big Data, Business Strategies, Machine Learning Algorithms, Generative Adversarial Networks (GANs), Data Security, Governance, Human Resources, Customer Data Management, Credit Risk, Data-Driven Decision-Making, Machine Learning, Analytics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.8K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Data Science: Statistics and Machine Learning: Johns Hopkins University
  • AI Fundamentals for Non-Data Scientists: University of Pennsylvania
  • Fiverr Freelancing: Strategies To Become a Top-1% Freelancer: Alex Genadinik
  • Grow Trees & Powerful Ensembles: Coursera
  • Coding Interview Preparation: Meta
  • IT Fundamentals for Business Profiles: Programming: Universitat Politècnica de València
  • Introduction to Genomic Technologies: Johns Hopkins University
  • Cryptocurrency Security: Cold Storage & Paper Wallets: Alex Genadinik
  • AI Engineering Masterclass: From Zero to AI Hero: Packt
  • Computational Neuroscience: University of Washington

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