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  • Approximation Algorithm

Results for "approximation algorithm"


  • 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: New
    New
    Status: Free Trial
    Free Trial
    K

    KodeKloud

    Hands-On MLOps Fundamentals for ML Engineers

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Applied Machine Learning, Machine Learning, Data Governance, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Automation, Unsupervised Learning, Continuous Monitoring

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    E

    Edureka

    Getting Started with Automated Machine Learning (AutoML)

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Automation, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Scalability, Performance Tuning, Performance Metric

    Beginner · Course · 1 - 4 Weeks

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

    Coursera

    Building and Optimizing AI Models

    Skills you'll gain: Feature Engineering, Applied Machine Learning, Machine Learning Methods, Machine Learning Algorithms, Deep Learning, Supervised Learning, Transfer Learning, Model Evaluation, Data Structures, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Tensorflow, Keras (Neural Network Library), Machine Learning, Artificial Neural Networks, Performance Tuning, Convolutional Neural Networks, Unsupervised Learning, Programming Principles

    Intermediate · Course · 1 - 3 Months

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

    Coursera

    Building, Optimizing, and Validating Machine Learning Models

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    G

    Google Cloud

    Développer des applications avec Cloud Run Functions sur GC

    Skills you'll gain: Identity and Access Management, Serverless Computing, Google Cloud Platform, Cloud Development, Cloud Applications, Cloud API, Cloud Security, Authorization (Computing), Authentications, Application Deployment, Operational Databases, Event-Driven Programming, Encryption, Scalability

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    I

    Infosec

    Access Control, Software Protection, System Integrity

    Skills you'll gain: Authentications, OAuth, Android Development, Application Security, Mobile Security, Secure Coding, Authorization (Computing), Security Engineering, Security Controls, Multi-Factor Authentication, Human Factors (Security), Vulnerability Management, Malware Protection, Threat Management, Data Integrity, Risk Management, Debugging, Encryption

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Data Preprocessing, Deep Learning, Computer Vision, Application Development, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Text Mining, Python Programming, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    Universidade de São Paulo

    Introdução à Ciência da Computação com Python Parte 1

    Skills you'll gain: Debugging, Computational Thinking, Data Structures, Computer Programming, Program Development, Integrated Development Environments, Computer Science, Python Programming, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7.5K reviews

    Beginner · Course · 1 - 3 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
    ·
    791 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    G

    Google

    Google AI

    Skills you'll gain: Vibe coding, Responsible AI, Data Analysis, Artificial Intelligence, Generative AI, Brainstorming, Business Communication, Data Visualization, Simulation and Simulation Software, Research, Business Modeling, Presentations, Content Creation, Project Management, Machine Learning, Planning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.1K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    ANSYS FLUENT - FUNDAMENTALS OF CFD

    Skills you'll gain: Simulation and Simulation Software, Engineering Analysis, Engineering Design Process, Computer-Aided Design, Thermal Management, Numerical Analysis, Scientific Visualization, Software Design, Mechanics, Analytics, Physics, Software Installation, Computer Systems

    Intermediate · Course · 1 - 4 Weeks

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

  • Probabilistic Graphical Models: Stanford University
  • Hands-On MLOps Fundamentals for ML Engineers: KodeKloud
  • Getting Started with Automated Machine Learning (AutoML): Edureka
  • Building and Optimizing AI Models : Coursera
  • Building, Optimizing, and Validating Machine Learning Models: Coursera
  • Développer des applications avec Cloud Run Functions sur GC: Google Cloud
  • Access Control, Software Protection, System Integrity: Infosec
  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • Introdução à Ciência da Computação com Python Parte 1: Universidade de São Paulo
  • Coding Interview Preparation: Meta

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