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  • Implement Monte Carlo Integration Methods

Results for "implement monte-carlo integration methods"


  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Computational Thinking for K-12 Educators: Abstraction, Methods, and Lists

    Skills you'll gain: Computational Thinking, Debugging, Programming Principles, Technical Communication, Computer Programming, Digital pedagogy, Event-Driven Programming, Program Development, Data Structures, Algorithms, Student Engagement, Visualization (Computer Graphics)

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    I

    Icahn School of Medicine at Mount Sinai

    Big Data Science with the BD2K-LINCS Data Coordination and Integration Center

    Skills you'll gain: Bioinformatics, Interactive Data Visualization, Supervised Learning, Machine Learning, Big Data, Data Integration, Unsupervised Learning, Data Processing, Data Analysis, Metadata Management, Application Programming Interface (API), Restful API

    4.8
    Rating, 4.8 out of 5 stars
    ·
    26 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Preview
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    P

    Peking University

    Bioinformatics: Introduction and Methods 生物信息学: 导论与方法

    Skills you'll gain: Bioinformatics, Biotechnology, Biostatistics, Informatics, Molecular Biology, Predictive Modeling, Data Analysis Software, Data Processing, Statistical Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    284 reviews

    Mixed · Course · 3 - 6 Months

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    P

    Peking University

    Nursing Research: Principles and Methods(护理研究:基本原理与方法)

    Skills you'll gain: Nursing, Science and Research, Clinical Research, Scientific Methods, Clinical Research Ethics, Medical Science and Research, Biostatistics, Epidemiology

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    K

    Koç University

    Doğrusal Cebir II: Kare Matrisler, Hesaplama Yöntemleri ve Uygulamalar / Linear Algebra II: Square Matrices, Calculation Methods and Applications

    Skills you'll gain: Linear Algebra, Differential Equations, Applied Mathematics, Advanced Mathematics, Algebra, Mathematical Modeling, Mathematical Theory & Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    27 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
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    P

    Politecnico di Milano

    Being a researcher (in Information Science and Technology)

    Skills you'll gain: Research, Scientific Methods, Data Ethics, Data Sharing, Ethical Standards And Conduct, Informed Consent, Innovation, Intellectual Property, Data Integrity, Technical Writing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    206 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    Università di Napoli Federico II

    Python per la Data Science

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Deep Learning, Computer Vision, Transfer Learning, Keras (Neural Network Library), Jupyter, Data Manipulation, Machine Learning Methods, Scikit Learn (Machine Learning Library), Model Evaluation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    S

    SAE Institute México

    Introducción a Unreal Engine

    Skills you'll gain: Unreal Engine, Video Game Development, Game Design, Prototyping, 3D Assets, Virtual Environment, UI Components, Animation and Game Design

    3.5
    Rating, 3.5 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    T

    Technical University of Munich (TUM)

    The Economics of Agro-Food Value Chains

    Skills you'll gain: Consumer Behaviour, Market Research, Food Quality Assurance And Control, Food and Beverage, Research Methodologies, Packaging and Labeling, Product Knowledge, Sustainability Standards, Innovation, Global Marketing, Supply And Demand, Corporate Sustainability, Economics, Coordination

    4.5
    Rating, 4.5 out of 5 stars
    ·
    449 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Preview
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    S

    SAE Institute México

    Inteligencia Artificial para personajes en Unreal Engine

    Skills you'll gain: Unreal Engine, Animation and Game Design, 3D Modeling, Animations, Video Game Development, Game Design, Artificial Intelligence, Blueprinting

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Università di Napoli Federico II

    Machine Learning e Data Mining in R

    Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, R (Software), Artificial Neural Networks, Transfer Learning, Machine Learning, Exploratory Data Analysis, Tidyverse (R Package), Deep Learning, Predictive Modeling, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Wrangling, Data Modeling

    4.9
    Rating, 4.9 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Università di Napoli Federico II

    Data Science con Python e R

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Object Oriented Programming (OOP), PyTorch (Machine Learning Library), R Programming, Convolutional Neural Networks, NumPy, R (Software), Image Analysis, Pandas (Python Package), Matplotlib, Python Programming, Deep Learning, Computer Programming, Computer Vision, Artificial Neural Networks, Transfer Learning, Scripting, Programming Principles, Data Management

    4.2
    Rating, 4.2 out of 5 stars
    ·
    54 reviews

    Intermediate · Specialization · 1 - 3 Months

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In summary, here are 10 of our most popular implement monte-carlo integration methods courses

  • Computational Thinking for K-12 Educators: Abstraction, Methods, and Lists: University of California San Diego
  • Big Data Science with the BD2K-LINCS Data Coordination and Integration Center: Icahn School of Medicine at Mount Sinai
  • Bioinformatics: Introduction and Methods 生物信息学: 导论与方法: Peking University
  • Nursing Research: Principles and Methods(护理研究:基本原理与方法): Peking University
  • Doğrusal Cebir II: Kare Matrisler, Hesaplama Yöntemleri ve Uygulamalar / Linear Algebra II: Square Matrices, Calculation Methods and Applications: Koç University
  • Being a researcher (in Information Science and Technology): Politecnico di Milano
  • Python per la Data Science: Università di Napoli Federico II
  • Introducción a Unreal Engine: SAE Institute México
  • The Economics of Agro-Food Value Chains: Technical University of Munich (TUM)
  • Inteligencia Artificial para personajes en Unreal Engine: SAE Institute México

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