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  • Bayesian Network

Results for "bayesian network"


  • B

    Birla Institute of Technology & Science, Pilani

    Probability and Statistics

    Skills you'll gain: Data Analysis, Statistical Analysis, Data Visualization, Predictive Modeling, Applied Mathematics

    4
    Rating, 4 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 3 Months

  • D

    Duke University

    Introduction to Probability and Data with R

    Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R (Software), Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Descriptive Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.9K reviews

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    CompTIA Network+ Certification (N10-008): The Total Course

    Skills you'll gain: Routing Protocols, TCP/IP, Network Troubleshooting, OSI Models, Network Switches, Data Centers, Virtual Local Area Network (VLAN), Network Protocols, Network Security, Network Routing, Computer Networking, Virtual Machines, Network Monitoring, Wide Area Networks, Virtualization, Wireless Networks, Firewall, Network Model, Networking Hardware, Local Area Networks

    4.8
    Rating, 4.8 out of 5 stars
    ·
    60 reviews

    Intermediate · Specialization · 3 - 6 Months

  • G

    Google

    Connect and Protect: Networks and Network Security

    Skills you'll gain: Network Security, Hardening, Network Protocols, Cloud Security, Network Architecture, Intrusion Detection and Prevention, TCP/IP, Vulnerability Assessments, Computer Networking, Cybersecurity, Network Infrastructure, Firewall, Cloud Computing, Virtual Private Networks (VPN), Encryption

    4.8
    Rating, 4.8 out of 5 stars
    ·
    7.2K reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    Duke University

    Inferenzstatistik

    Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Statistical Reporting, Statistical Analysis, Statistics, Data Analysis, Probability & Statistics, Statistical Methods, Data Analysis Software, Statistical Software, R Programming, Sampling (Statistics), Probability Distribution

    Beginner · Course · 1 - 3 Months

  • 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, Data Analysis, Regression Analysis, Logistic Regression, Statistical Analysis, Statistical Methods, Statistical Machine Learning, Bayesian Statistics, Statistical Inference, Feature Engineering, Applied Mathematics, Python Programming, Machine Learning, Algorithms

    Build toward a degree

    Beginner · Course · 1 - 4 Weeks

  • L

    LearnQuest

    Neural Networks and Random Forests

    Skills you'll gain: Model Evaluation, Random Forest Algorithm, Keras (Neural Network Library), Tensorflow, Deep Learning, Artificial Neural Networks, Decision Tree Learning, Scikit Learn (Machine Learning Library), Machine Learning, Regression Analysis, Classification Algorithms, Python Programming

    3.3
    Rating, 3.3 out of 5 stars
    ·
    17 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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
    ·
    848 reviews

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    AI Workflow: Machine Learning, Visual Recognition and NLP

    Skills you'll gain: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    90 reviews

    Advanced · Course · 1 - 4 Weeks

  • P

    Packt

    Natural Language Processing - Probability Models in Python

    Skills you'll gain: Cryptography, Classification Algorithms, Probability Distribution, Machine Learning Algorithms, Data Processing, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of California, Davis

    Social Network Analysis

    Skills you'll gain: Social Network Analysis, Network Analysis, Data Wrangling, Social Sciences, Graph Theory, Statistical Visualization, Data Manipulation, Data Visualization, Data Analysis, Predictive Analytics, Simulations

    4.7
    Rating, 4.7 out of 5 stars
    ·
    243 reviews

    Beginner · Course · 1 - 3 Months

  • I

    ISC2

    Network Security

    Skills you'll gain: Network Security, Cybersecurity, Cyber Attacks, Infrastructure Security, Threat Detection, Computer Networking, Data Centers, General Networking, Threat Management, Network Planning And Design, Firewall, Network Protocols, Cloud Computing, TCP/IP, Encryption

    4.7
    Rating, 4.7 out of 5 stars
    ·
    248 reviews

    Beginner · Course · 1 - 3 Months

1…567…386

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

  • Probability and Statistics: Birla Institute of Technology & Science, Pilani
  • Introduction to Probability and Data with R: Duke University
  • CompTIA Network+ Certification (N10-008): The Total Course: Packt
  • Connect and Protect: Networks and Network Security: Google
  • Inferenzstatistik: Duke University
  • Probability Theory and Regression for Predictive Analytics: University of Pittsburgh
  • Neural Networks and Random Forests: LearnQuest
  • Prediction and Control with Function Approximation: University of Alberta
  • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
  • Natural Language Processing - Probability Models in Python: Packt

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