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    Results for "random forests"

    • Status: Preview
      Preview
      J

      Johns Hopkins University

      Foundational Mathematics for AI

      Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Statistics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Integral Calculus, Algebra, Machine Learning Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      J

      Johns Hopkins University

      Introduction to AI: Key Concepts and Applications

      Skills you'll gain: Performance Metric, Artificial Intelligence, Strategic Leadership, Responsible AI, Strategic Decision-Making, Data Quality, Applied Machine Learning, Machine Learning, Algorithms, Artificial Neural Networks, Data Validation, Decision Tree Learning, Random Forest Algorithm, Resource Utilization, System Requirements, Data Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science Decisions in Time: Using Causal Information

      Skills you'll gain: Precision Medicine, Clinical Trials, Data Analysis, Data-Driven Decision-Making, Analytics, Data Science, Strategic Decision-Making, Root Cause Analysis, Random Forest Algorithm, Treatment Planning, Personalized Service, A/B Testing, Machine Learning, Online Advertising

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      How to Describe Data

      Skills you'll gain: Histogram, Data Visualization, Data Literacy, Data Presentation, Descriptive Statistics, Data Storytelling, Statistics, Data Analysis, Statistical Visualization, Sampling (Statistics), Data Validation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      U

      University of Illinois Urbana-Champaign

      Исследование и генерация данных для принятия бизн.-реш.

      Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Data Analysis, Statistics, Quantitative Research, Business Analysis, Business Risk Management, Statistical Analysis, Data-Driven Decision-Making, Statistical Visualization, Statistical Methods, Microsoft Excel, Probability Distribution, Data Presentation, Influencing

      Beginner · Course · 1 - 3 Months

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

      University of Michigan

      Network Modeling and Analysis in Python

      Skills you'll gain: Social Network Analysis, Data Analysis, Python Programming, Jupyter, Probability Distribution

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Acquisition, Risk, and Estimation

      Skills you'll gain: Sampling (Statistics), Estimation, Risk Analysis, Statistical Methods, Statistical Software, Return On Investment, Statistical Analysis, Sample Size Determination, R (Software), Data Analysis, Business Risk Management, Probability & Statistics, Statistical Inference, Project Estimation, Business Analysis

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      C

      Coursera Instructor Network

      OpenAI: Consistent Response Strategies

      Skills you'll gain: Prompt Engineering, OpenAI, Large Language Modeling, LLM Application, AI Product Strategy, Generative AI, Responsible AI, Technical Communication, Sampling (Statistics)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Statistics and Data Analysis with Excel, Part 2

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Sampling (Statistics), Statistical Methods, Microsoft Excel, Probability & Statistics, Data Analysis, Regression Analysis, Probability Distribution

      5
      Rating, 5 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Using probability distributions for real world problems in R

      Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      30 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • E

      EIT Digital

      Geometric Algorithms

      Skills you'll gain: Geometry, Algorithms, Computer Graphics, Data Structures, Graph Theory, Spatial Data Analysis, Computational Thinking, Geographic Information Systems, Pseudocode, Theoretical Computer Science, Spatial Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Macquarie University

      Statistics and Data Analysis with Excel: Intermediate

      Skills you'll gain: Interactive Data Visualization, Pivot Tables And Charts, Data Visualization, Data Presentation, Statistical Inference, Correlation Analysis, Statistical Hypothesis Testing, Microsoft Excel, Excel Formulas, Statistics, Probability & Statistics, Data Analysis, Regression Analysis, Sampling (Statistics), Statistical Analysis, Descriptive Statistics, Forecasting

      Intermediate · Course · 1 - 3 Months

    Searches related to random forests

    neural networks and random forests
    r: design & evaluate random forests for attrition
    python: implement & evaluate random forests for ml
    1…222324…33

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

    • Foundational Mathematics for AI: Johns Hopkins University
    • Introduction to AI: Key Concepts and Applications: Johns Hopkins University
    • Data Science Decisions in Time: Using Causal Information: Johns Hopkins University
    • How to Describe Data: University of Michigan
    • Исследование и генерация данных для принятия бизн.-реш.: University of Illinois Urbana-Champaign
    • Network Modeling and Analysis in Python: University of Michigan
    • Data Acquisition, Risk, and Estimation: University of Colorado Boulder
    • OpenAI: Consistent Response Strategies: Coursera Instructor Network
    • Statistics and Data Analysis with Excel, Part 2: University of Colorado Boulder
    • Using probability distributions for real world problems in R: Coursera Project Network

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