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  • Understanding Purpose Of Sequential Probabilistic Inference Steps

Results for "understanding purpose of sequential-probabilistic-inference steps"


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    B

    Ball State University

    Statistical Methods for Data Science

    Skills you'll gain: Statistical Methods, Probability & Statistics, Statistical Modeling, Statistical Programming, Statistical Analysis, Probability Distribution, Statistical Inference, Bayesian Statistics, Data Science, Sampling (Statistics), Statistical Hypothesis Testing, R Programming, Dimensionality Reduction, Simulations, Statistical Visualization

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

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    U

    University of Alberta

    Prediction and Control with Function Approximation

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

    4.8
    Rating, 4.8 out of 5 stars
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    846 reviews

    Intermediate · Course · 1 - 3 Months

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    W

    Whizlabs

    NVIDIA: Prompt Engineering and Data Analysis

    Skills you'll gain: Prompt Engineering, Plot (Graphics), Data Visualization, Large Language Modeling, Text Mining, Retrieval-Augmented Generation, Data Visualization Software, Data Analysis, Natural Language Processing

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    AWS Step Functions – Automate Complex Tasks with Workflows

    Skills you'll gain: Amazon Web Services, Debugging, Business Process Automation, Automation, AWS Identity and Access Management (IAM), Serverless Computing, Amazon DynamoDB, API Gateway, JSON, User Accounts

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Colorado System

    Particle Filters (and Navigation)

    Skills you'll gain: Bayesian Network, Numerical Analysis, Estimation, Simulations, Matlab, Mathematical Modeling, Applied Mathematics, Engineering Analysis, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

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    U

    University of California, Santa Cruz

    Bayesian Statistics: Capstone Project

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

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    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
    ·
    37 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Deploy and Scale AI Models with Cloud Run

    Skills you'll gain: Google Cloud Platform, Model Deployment, Serverless Computing, Cloud Deployment, Generative AI, MLOps (Machine Learning Operations), Containerization, Performance Tuning, Scalability

    Beginner · Course · 1 - 4 Weeks

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    C

    Coursera

    What are GPTs and How can they work for my business?

    Skills you'll gain: ChatGPT, AI Enablement, Market Research, Financial Forecasting, AI Personalization, Business Solutions, LLM Application, Generative AI, Strategic Decision-Making, Supply Chain Management, Innovation, Forecasting, Customer Support, Artificial Intelligence

    3.9
    Rating, 3.9 out of 5 stars
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    10 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Duke University

    Data Science for Agile Decision-Making

    Skills you'll gain: Data-Driven Decision-Making, Strategic Decision-Making, Business Analytics, Business Intelligence, Analytics, Data Literacy, Decision Making, Forecasting, Data Science, Operational Analysis, Data Analysis, Market Intelligence, Predictive Analytics, Artificial Intelligence

    4.5
    Rating, 4.5 out of 5 stars
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    8 reviews

    Intermediate · Course · 1 - 4 Weeks

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    N

    Northeastern University

    Foundations of Statistical Learning & Algorithms

    Skills you'll gain: Model Evaluation, Linear Algebra, Statistical Machine Learning, Probability, Bayesian Statistics, Probability Distribution, Mathematical Modeling, Machine Learning, Applied Mathematics, Statistical Inference, Dimensionality Reduction, Algebra

    Mixed · Course · 1 - 4 Weeks

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    New York University

    MOST from a Methodological Perspective

    Skills you'll gain: Clinical Trials, Experimentation, Sample Size Determination, Research Design, Continuous Quality Improvement (CQI), Program Evaluation, Research Methodologies, Statistical Analysis

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular understanding purpose of sequential-probabilistic-inference steps courses

  • Statistical Methods for Data Science: Ball State University
  • Prediction and Control with Function Approximation: University of Alberta
  • NVIDIA: Prompt Engineering and Data Analysis: Whizlabs
  • AWS Step Functions – Automate Complex Tasks with Workflows: Packt
  • Particle Filters (and Navigation): University of Colorado System
  • Bayesian Statistics: Capstone Project: University of California, Santa Cruz
  • Using probability distributions for real world problems in R: Coursera
  • Deploy and Scale AI Models with Cloud Run: Google Cloud
  • What are GPTs and How can they work for my business?: Coursera
  • Data Science for Agile Decision-Making: Duke University

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