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  • Stochastic Process

Results for "stochastic+process"


  • M

    MathWorks

    Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Agentic systems, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Control Systems

    ★ 4.6 (7) · Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • C

    Columbia University

    Causal Inference 2

    Skills you'll gain: Statistical Inference, Econometrics, Mediation, Correlation Analysis, Statistical Analysis, Regression Analysis, Time Series Analysis and Forecasting, Statistical Methods, Statistical Modeling, Mathematical Modeling, Research Design

    ★ 3.3 (15) · Advanced · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • U

    University of California, Santa Cruz

    Bayesian Statistics: Capstone Project

    Skills you'll gain: Bayesian Statistics, Technical Communication, Data Presentation, Statistical Reporting, R Programming, Statistical Analysis, Statistical Modeling, Statistical Programming, Data Analysis, Time Series Analysis and Forecasting, R (Software), Markov Model, Statistical Methods, Statistical Inference, Sampling (Statistics), Simulations, Model Evaluation, Probability Distribution

    ★ 4.5 (10) · Advanced · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • S

    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Decision Intelligence, Bayesian Statistics, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Dependency Analysis

    ★ 4.6 (1.4K) · Advanced · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    Imperial College London

    Building on the SIR Model

    Skills you'll gain: Mathematical Modeling, Statistical Modeling, Simulations, Epidemiology, Infectious Diseases, R Programming, Public Health and Disease Prevention, Model Evaluation, Predictive Modeling, R (Software), Public Health

    ★ 4.5 (31) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Optimize LLM Costs & Streamline Processes

    Skills you'll gain: Model Optimization, Miro AI, Process Optimization, Lean Manufacturing, Collaborative Software, Process Improvement and Optimization, Productivity Software, Process Modeling, LLM Application, Process Analysis, Operating Cost, Business Workflow Analysis, AI Workflows, Cost Management, Waste Minimization, Data-Driven Decision-Making, Proposal Development

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Generative AI, Tensorflow, Autoencoders, Generative Model Architectures, Bayesian Network, Deep Learning, Image Analysis, Bayesian Statistics, Model Optimization, Probability Distribution, Model Training, Sampling (Statistics), Data Transformation

    ★ 4.7 (109) · Advanced · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Pittsburgh

    Probability Theory and Regression for Predictive Analytics

    Skills you'll gain: Probability Distribution, Data Science, Probability & Statistics, Predictive Analytics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Regression Analysis, Logistic Regression, Statistical Analysis, Statistical Methods, Statistics, Bayesian Statistics, Statistical Software, Statistical Inference, Applied Mathematics, Python Programming, Machine Learning, Algorithms

    Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • T

    The Hong Kong University of Science and Technology

    Discrete Math for Computer Science - Counting & Probability

    Skills you'll gain: Bayesian Statistics

    Beginner · Course · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Minnesota

    Simulation Models for Decision Making

    Skills you'll gain: Simulations, Probability Distribution, Probability, Statistical Methods, Simulation and Simulation Software, Probability & Statistics, Statistics, Microsoft Excel, Excel Formulas, Complex Problem Solving, Excel Macros, Business Modeling, Risk Modeling, Statistical Analysis, Process Modeling

    ★ 4.5 (65) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Minnesota

    Statistical Molecular Thermodynamics

    Skills you'll gain: Physics, Chemistry, Physical Science, Systems Of Measurement, Differential Equations, Vibrations, Mathematical Modeling, Integral Calculus

    ★ 4.9 (368) · Beginner · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • S

    Simplilearn

    Fundamental of Reinforcement Training

    Skills you'll gain: Reinforcement Learning, Agentic systems, Artificial Intelligence, Decision Intelligence, Applied Machine Learning, Machine Learning, Supervised Learning, Unsupervised Learning, Markov Model

    Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
1…567…9

In summary, here are 10 of our most popular stochastic+process courses

  • Reinforcement Learning: MathWorks
  • Causal Inference 2: Columbia University
  • Bayesian Statistics: Capstone Project: University of California, Santa Cruz
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Building on the SIR Model: Imperial College London
  • Optimize LLM Costs & Streamline Processes: Coursera
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • Probability Theory and Regression for Predictive Analytics: University of Pittsburgh
  • Discrete Math for Computer Science - Counting & Probability: The Hong Kong University of Science and Technology
  • Simulation Models for Decision Making: University of Minnesota

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