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  • Bgfs Algorithms

Results for "bgfs algorithms"


  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Prediction and Control with Function Approximation

    Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    844 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Recommendation Systems on Google Cloud

    Skills you'll gain: Reinforcement Learning, Google Cloud Platform, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Predictive Modeling, Algorithms, Data Processing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    484 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    P

    Peking University

    操作系统原理(Operating Systems)

    Skills you'll gain: File Systems, Operating Systems, System Software, Real-Time Operating Systems, OS Process Management, Computer Systems, Data Storage, Unix, Computer Science, Linux, Microsoft Windows, Virtualization, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    363 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
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    D

    Dartmouth College

    C Programming: Getting Started - 1

    Skills you'll gain: C (Programming Language), Software Documentation, Programming Principles, Computer Programming, Embedded Software, Human Computer Interaction, Debugging, Development Environment, Engineering Calculations

    4.6
    Rating, 4.6 out of 5 stars
    ·
    262 reviews

    Beginner · Course · 1 - 3 Months

  • E

    EIT Digital

    Basic Recommender Systems

    Skills you'll gain: Data Ethics, AI Personalization, System Requirements, Responsible AI, Machine Learning Algorithms, Innovation, Algorithms, Unsupervised Learning, Quality Assurance, Data-Driven Decision-Making, Applied Machine Learning, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    43 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Artificial Intelligence on Microsoft Azure

    Skills you'll gain: Responsible AI, Anomaly Detection, Computer Vision, Artificial Intelligence, Microsoft Azure, Image Analysis, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Large Language Modeling, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    964 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Introduction to Digital health

    Skills you'll gain: Health Technology, Telehealth, Health Disparities, Health Informatics, Health Care, Health Systems, Electronic Medical Record, Interoperability, Public Health, Health Policy, Epidemiology, Big Data, Medical Devices, Digital Transformation, Machine Learning, Data Sharing, Artificial Intelligence

    4.5
    Rating, 4.5 out of 5 stars
    ·
    253 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    P

    Peking University

    生物信息学: 导论与方法

    Skills you'll gain: Bioinformatics, Molecular Biology, Biology, Computational Thinking, Network Analysis, Data Mining, Algorithms, Machine Learning Methods, Data Processing, Unstructured Data, Statistical Methods, Database Development

    4.8
    Rating, 4.8 out of 5 stars
    ·
    189 reviews

    Mixed · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Comparing Genes, Proteins, and Genomes (Bioinformatics III)

    Skills you'll gain: Bioinformatics, Molecular Biology, Computational Thinking, Computer Programming Tools, Graph Theory, Python Programming, Biology

    4.7
    Rating, 4.7 out of 5 stars
    ·
    137 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps | Machine Learning Operations

    Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Application Deployment, Responsible AI, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    550 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning Capstone

    Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Data Analysis, Applied Machine Learning, Data Presentation, Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Python Programming, Tensorflow, Regression Analysis, Keras (Neural Network Library), Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    186 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    I

    IBM

    Machine Learning Introduction for Everyone

    Skills you'll gain: Predictive Modeling, Machine Learning, Supervised Learning, Data Science, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Unsupervised Learning, Reinforcement Learning, Performance Metric

    4.6
    Rating, 4.6 out of 5 stars
    ·
    296 reviews

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular bgfs algorithms courses

  • Prediction and Control with Function Approximation: University of Alberta
  • Recommendation Systems on Google Cloud: Google Cloud
  • 操作系统原理(Operating Systems): Peking University
  • C Programming: Getting Started - 1: Dartmouth College
  • Basic Recommender Systems: EIT Digital
  • Artificial Intelligence on Microsoft Azure: Microsoft
  • Introduction to Digital health: Imperial College London
  • 生物信息学: 导论与方法: Peking University
  • Comparing Genes, Proteins, and Genomes (Bioinformatics III): University of California San Diego
  • MLOps | Machine Learning Operations: Duke University

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