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  • Discrete Random Variables

Results for "discrete random variables"


  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    ARM Cortex (STM32) Fundamentals: Building Embedded Systems

    Skills you'll gain: Embedded Systems, Embedded Software, C (Programming Language), Electronic Hardware, Programming Principles, Control Systems, Computer Architecture, Computer Programming, Debugging, Data Storage

    4.5
    Rating, 4.5 out of 5 stars
    ·
    41 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Intro to Predictive Analytics Using Python

    Skills you'll gain: Feature Engineering, Unsupervised Learning, Model Evaluation, Predictive Modeling, Predictive Analytics, Decision Tree Learning, Classification And Regression Tree (CART), Supervised Learning, Forecasting, Machine Learning Methods, Random Forest Algorithm, Analytics, Statistical Modeling, Regression Analysis, Machine Learning, Logistic Regression, Python Programming

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    M

    Microsoft

    The R Programming Starter Course

    Skills you'll gain: Debugging, R Programming, Data Structures, Microsoft Development Tools, Software Documentation, Programming Principles, Development Environment, Data Manipulation, Data Transformation, Scripting

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Complete Modern C++ (C++11/14/17)

    Skills you'll gain: C and C++, C++ (Programming Language), Object Oriented Programming (OOP), File I/O, Computer Programming, Microsoft Visual Studio, System Programming, Apple Xcode, Development Environment, Algorithms, File Systems, Software Design Patterns, Data Structures, Performance Tuning, Debugging, File Management

    4.5
    Rating, 4.5 out of 5 stars
    ·
    23 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Managerial Economics: Buyer and Seller Behavior

    Skills you'll gain: Market Dynamics, Supply And Demand, Game Theory, Economics, Market Trend, Business Economics, Market Analysis, Operating Cost, Business Strategy, Competitive Analysis, Cost Management, Strategic Decision-Making, Decision Making

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    53 reviews

    Beginner · Course · 1 - 4 Weeks

  • 2

    28DIGITAL

    I/O-efficient algorithms

    Skills you'll gain: File I/O, Data Structures, Theoretical Computer Science, Data Storage Technologies, Algorithms, Graph Theory, Data Access, Performance Tuning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    60 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Dartmouth College

    C Programming: Advanced Data Types - 5

    Skills you'll gain: C (Programming Language), Embedded Systems, Data Structures, System Programming, Algorithms, Computer Programming, Linux, Computer Programming Tools, Debugging

    4.4
    Rating, 4.4 out of 5 stars
    ·
    58 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Hyperparameter Tuning with Keras Tuner

    Skills you'll gain: Keras (Neural Network Library), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Python Programming, Performance Tuning, Machine Learning Algorithms, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    70 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to Machine Learning in Sports Analytics

    Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Model Evaluation, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Decision Tree Learning, Machine Learning, Logistic Regression, Data Analysis, Classification Algorithms, Data Preprocessing, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    K

    Kennesaw State University

    The Analyze Phase for the 6 σ Black Belt

    Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Statistical Hypothesis Testing, Statistical Analysis, Analysis, Statistical Inference, Process Analysis, Correlation Analysis, Data Analysis, Probability & Statistics, Risk Analysis, Regression Analysis, Sample Size Determination, Sampling (Statistics)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    53 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    K

    KodeKloud

    Terraform for the Absolute Beginner with Hands-on Labs

    Skills you'll gain: Terraform, Infrastructure as Code (IaC), Cloud Infrastructure, DevOps, Cloud API, Configuration Management, Command-Line Interface, Software Versioning, Version Control

    4.9
    Rating, 4.9 out of 5 stars
    ·
    25 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Data Management with Databricks: Big Data with Delta Lakes

    Skills you'll gain: Databricks, Data Lakes, Data Pipelines, Data Integration, Dashboard, PySpark, SQL, Apache Spark, Data Management, Data Transformation, Version Control

    4.1
    Rating, 4.1 out of 5 stars
    ·
    32 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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In summary, here are 10 of our most popular discrete random variables courses

  • ARM Cortex (STM32) Fundamentals: Building Embedded Systems: EDUCBA
  • Intro to Predictive Analytics Using Python: University of Pennsylvania
  • The R Programming Starter Course: Microsoft
  • Complete Modern C++ (C++11/14/17): Packt
  • Managerial Economics: Buyer and Seller Behavior: Illinois Tech
  • I/O-efficient algorithms: 28DIGITAL
  • C Programming: Advanced Data Types - 5: Dartmouth College
  • Hyperparameter Tuning with Keras Tuner: Coursera
  • Introduction to Machine Learning in Sports Analytics: University of Michigan
  • The Analyze Phase for the 6 σ Black Belt: Kennesaw State University

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