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  • Bayesian Network

Results for "bayesian+network"


  • E

    EDUCBA

    AI & Machine Learning: Apply, Build & Solve

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Artificial Intelligence, Agentic systems, Machine Learning Algorithms, Bayesian Network, Applied Machine Learning, Computational Logic, Machine Learning, Unsupervised Learning, Agentic Workflows, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Decision Intelligence, Markov Model, Algorithms, Programming Principles, Probability & Statistics

    ★ 5 (10) · Mixed · Course · 1 - 3 Months

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

    Coursera

    Design and Build Custom Neural Networks

    Skills you'll gain: Network Architecture, Model Optimization, Artificial Neural Networks, Model Training, Performance Testing, Deep Learning, Vision Transformer (ViT)

    Intermediate · Course · 1 - 4 Weeks

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

    Simplilearn

    Introduction Course to Autoencoders, VAEs, and GANs

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Autoencoders, Generative Model Architectures, Deep Learning, Tensorflow, Unsupervised Learning, Model Training, Dimensionality Reduction

    Beginner · Course · 1 - 4 Weeks

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

    Universidad Nacional Autónoma de México

    Estadística y probabilidad: principios de Inferencia

    Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability Distribution, Sampling (Statistics), Probability & Statistics, Probability, Statistical Methods, Statistics, Statistical Modeling, Statistical Analysis, Descriptive Statistics

    ★ 3.2 (17) · Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • D

    Databricks

    Introduction to Computational Statistics for Data Scientists

    Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Jupyter, Regression Analysis, Probability & Statistics, Model Evaluation, Statistical Software, Probability Distribution, Data Science, Markov Model, Statistics, Statistical Programming, Statistical Inference, Statistical Methods, Simulations, Data Visualization, Python Programming

    ★ 4 (109) · Beginner · Specialization · 1 - 3 Months

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

    KodeKloud

    Data Engineering Essentials

    Skills you'll gain: MLOps (Machine Learning Operations), Apache Kafka, Apache Airflow, Apache Spark, Extract, Transform, Load, Data Lakes, Data Pipelines, Distributed Computing, Real Time Data, DevOps, Data Processing, Feature Engineering, CI/CD, Pandas (Python Package), Continuous Integration

    Beginner · Course · 1 - 4 Weeks

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

    Columbia University

    Causal Inference

    Skills you'll gain: Statistical Inference, Regression Analysis, Applied Machine Learning, Statistical Methods, Statistical Machine Learning, Statistical Analysis, Statistical Hypothesis Testing, Statistical Modeling, Machine Learning, Experimentation, Data Collection, Probability & Statistics, Research Design

    ★ 3.3 (105) · 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
  • J

    Johns Hopkins University

    Artificial Intelligence for Breast Cancer Detection

    Skills you'll gain: Mammography, Model Evaluation, Model Training, Artificial Intelligence, Bayesian Network, Image Analysis, AI Product Strategy, Machine Learning Methods, Oncology, Artificial Neural Networks, Medical Imaging, Machine Learning, Applied Machine Learning, Deep Learning, Epidemiology

    ★ 4.6 (81) · Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    Probability & Statistics for Machine Learning & Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Probability, Statistical Inference, Statistics, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Exploratory Data Analysis, Correlation Analysis, Histogram, Statistical Visualization, Box Plots

    ★ 4.6 (685) · Intermediate · Course · 1 - 4 Weeks

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

    Johns Hopkins University

    Statistical Inference

    Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability & Statistics, Probability, Statistics, Bayesian Statistics, Statistical Methods, Statistical Modeling, Statistical Analysis, Probability Distribution, Sampling (Statistics), Sample Size Determination, Data Analysis

    ★ 4.2 (4.5K) · Mixed · Course · 1 - 4 Weeks

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

    University of California, Santa Cruz

    Bayesian Statistics: Mixture Models

    Skills you'll gain: R Programming, Statistical Programming, Statistical Modeling, Bayesian Statistics, Statistical Software, Markov Model, Statistical Methods, Probability & Statistics, Statistical Inference, Sampling (Statistics), Probability Distribution, Numerical Analysis, Classification Algorithms

    ★ 4.5 (63) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1234…9

In summary, here are 10 of our most popular bayesian+network courses

  • AI & Machine Learning: Apply, Build & Solve: EDUCBA
  • Design and Build Custom Neural Networks: Coursera
  • Introduction Course to Autoencoders, VAEs, and GANs: Simplilearn
  • Estadística y probabilidad: principios de Inferencia: Universidad Nacional Autónoma de México
  • Introduction to Computational Statistics for Data Scientists: Databricks
  • Data Engineering Essentials: KodeKloud
  • Causal Inference: Columbia University
  • Bayesian Statistics: Capstone Project: University of California, Santa Cruz
  • Artificial Intelligence for Breast Cancer Detection: Johns Hopkins University
  • Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI

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