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Results for "bayesian network"

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Machine Learning, Visual Recognition and NLP

    Skills you'll gain: Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, IBM Cloud, Machine Learning, Predictive Modeling, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Computer Vision, Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    90 reviews

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    ML Parameters Optimization: GridSearch, Bayesian, Random

    Skills you'll gain: Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Machine Learning, Bayesian Statistics, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    Università di Napoli Federico II

    A quick tour on Big Data and Business Intelligence

    Skills you'll gain: NoSQL, Apache Hadoop, Apache Hive, Big Data, Database Systems, Artificial Intelligence, Distributed Computing, Data Processing, Scalability, Business Intelligence, Data Management

    4.1
    Rating, 4.1 out of 5 stars
    ·
    22 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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
    P

    Packt

    Natural Language Processing - Probability Models in Python

    Skills you'll gain: Cryptography, Generative Model Architectures, Probability Distribution, Machine Learning Algorithms, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Statistical Programming, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Probability & Statistics, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Fitting Statistical Models to Data with Python

    Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Statistical Programming, Regression Analysis, Predictive Modeling, Jupyter, Exploratory Data Analysis, Correlation Analysis, Probability Distribution, Python Programming, Data Visualization Software

    4.4
    Rating, 4.4 out of 5 stars
    ·
    712 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Birla Institute of Technology & Science, Pilani

    Probability and Statistics

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

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Network Configuration, Network Services, & System Management

    Skills you'll gain: Peripheral Devices, Virtual Private Networks (VPN), Mac OS, TCP/IP, System Configuration, Network Protocols, Network Administration, Network Support, General Networking, Operating System Administration, Remote Access Systems, Systems Administration, Dynamic Host Configuration Protocol (DHCP), Computer Networking, Desktop Support, Cloud Management

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Building and Training Neural Networks with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Artificial Neural Networks, Computer Vision, Deep Learning, Machine Learning Methods, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Exploratory Data Analysis, Development Environment

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Prediction and Control with Function Approximation

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    843 reviews

    Intermediate · Course · 1 - 3 Months

  • 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
    ·
    31 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

  • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
  • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera
  • A quick tour on Big Data and Business Intelligence: Università di Napoli Federico II
  • Network Modeling and Analysis in Python: University of Michigan
  • Natural Language Processing - Probability Models in Python: Packt
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Fitting Statistical Models to Data with Python: University of Michigan
  • Probability and Statistics: Birla Institute of Technology & Science, Pilani
  • Network Configuration, Network Services, & System Management: Packt
  • Building and Training Neural Networks with PyTorch: Packt

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