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  • Simple Algorithm

Results for "simple algorithm"


  • G

    Google Cloud

    Cómo utilizar BigQuery ML para ejecutar inferencias

    Skills you'll gain: Big Data, Analytics, Data Analysis, Applied Machine Learning, MLOps (Machine Learning Operations), Google Cloud Platform, Machine Learning, Predictive Modeling, SQL

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Responsible AI for Developers: Privacy & Safety - 日本語版

    Skills you'll gain: AI Security, Responsible AI, Generative AI, Google Cloud Platform, Information Privacy, Federated Learning, Threat Modeling, Artificial Intelligence, Data Security, Model Deployment, Safety and Security, Data Governance, Encryption

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Trabaja con Notebooks en Vertex AI

    Skills you'll gain: MLOps (Machine Learning Operations), Jupyter, Model Deployment, Google Cloud Platform, Machine Learning, Data Preprocessing, Virtual Environment, Development Environment

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency - 日本語版

    Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Model Evaluation, Software Visualization, Data Integrity, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    G

    Google Cloud

    Prepárate para tu recorrido como PCSE

    Skills you'll gain: DevSecOps, Identity and Access Management, Cloud Security, Data Security, Encryption, Security Controls, Network Security, Cloud Computing Architecture, Virtual Networking, CI/CD, Key Management, Firewall, Continuous Monitoring

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
    T

    The Chinese University of Hong Kong

    Basic Modeling for Discrete Optimization

    Skills you'll gain: Mathematical Modeling, Problem Solving, Enterprise Modeling, Graph Theory, Decision Support Systems, Computational Thinking, Data Modeling, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    456 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: PCA

    Skills you'll gain: Dimensionality Reduction, NumPy, Data Preprocessing, Unsupervised Learning, Feature Engineering, Jupyter, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Calculus

    4
    Rating, 4 out of 5 stars
    ·
    3.2K reviews

    Intermediate · Course · 1 - 4 Weeks

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

    University of Colorado Boulder

    Equivalences, Abstraction, and Partial Order Reduction

    Skills you'll gain: Verification And Validation, Computational Thinking, Systems Design, System Design and Implementation, Systems Analysis, Model Evaluation, Software Design, Computer Architecture, Program Development, Software Quality (SQA/SQC), Logical Reasoning

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Computational Thinking for K-12 Educators: Sequences and Loops

    Skills you'll gain: Computational Thinking, Education Software and Technology, Digital pedagogy, Programming Principles, Debugging, Computer Programming, Computer Science, Brainstorming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    26 reviews

    Beginner · Course · 1 - 3 Months

1…259260261262

In summary, here are 9 of our most popular simple algorithm courses

  • Cómo utilizar BigQuery ML para ejecutar inferencias: Google Cloud
  • Responsible AI for Developers: Privacy & Safety - 日本語版: Google Cloud
  • Trabaja con Notebooks en Vertex AI: Google Cloud
  • Responsible AI for Developers: Interpretability & Transparency - 日本語版: Google Cloud
  • Prepárate para tu recorrido como PCSE: Google Cloud
  • Basic Modeling for Discrete Optimization: The Chinese University of Hong Kong
  • Mathematics for Machine Learning: PCA: Imperial College London
  • Equivalences, Abstraction, and Partial Order Reduction: University of Colorado Boulder
  • Computational Thinking for K-12 Educators: Sequences and Loops: University of California San Diego

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