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    Results for "bayesian network"

    • L

      LearnQuest

      Neural Networks and Random Forests

      Skills you'll gain: Random Forest Algorithm, Keras (Neural Network Library), Classification And Regression Tree (CART), Tensorflow, Deep Learning, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning Algorithms, Regression Analysis, Machine Learning, Python Programming, Network Architecture

      2.9
      Rating, 2.9 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Toronto

      Plant Bioinformatics

      Skills you'll gain: Bioinformatics, Network Analysis, Data Visualization Software, Data Analysis, Data Mining, Interactive Data Visualization, Databases

      4.8
      Rating, 4.8 out of 5 stars
      ·
      247 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      INSEAD

      Web3 and Blockchain in Global Commerce

      Skills you'll gain: Blockchain, Digital Assets, Transportation, Supply Chain, and Logistics, Supply Chain, Governance, Supply Chain Management, Business Transformation, FinTech, Business Analysis, Market Opportunities, Competitive Analysis, Interoperability, Business Leadership, Strategic Partnership, Emerging Technologies, Logistics, Market Analysis, Leadership, E-Commerce, Cryptography

      4.7
      Rating, 4.7 out of 5 stars
      ·
      62 reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      SQL Joins

      Skills you'll gain: MySQL, SQL, Relational Databases

      4.5
      Rating, 4.5 out of 5 stars
      ·
      167 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      U

      University of Illinois Urbana-Champaign

      Introduction to Artificial Intelligence

      Skills you'll gain: Generative AI, Applied Machine Learning, Deep Learning, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Unsupervised Learning, Regression Analysis, Emerging Technologies, Law, Regulation, and Compliance, Business Analytics, Governance

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Getting Started with Microsoft PowerPoint

      Skills you'll gain:

      4.6
      Rating, 4.6 out of 5 stars
      ·
      223 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • L

      L&T EduTech

      Intelligent Digital Factories

      Skills you'll gain: Machine Learning Algorithms, Internet Of Things, Computer Vision, Image Analysis, Artificial Intelligence, Unsupervised Learning, Python Programming, Embedded Software, Peripheral Devices, Integrated Development Environments, Deep Learning, Applied Machine Learning, Embedded Systems, Machine Learning, Civil Engineering, Computer Programming Tools, Wireless Networks, Automation, Digital Transformation, System Monitoring

      4.6
      Rating, 4.6 out of 5 stars
      ·
      301 reviews

      Intermediate · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Using probability distributions for real world problems in R

      Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Statistical Analysis, Statistical Hypothesis Testing, Data Analysis, Data Science, Probability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      29 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • I

      IBM

      AI Workflow: Enterprise Model Deployment

      Skills you'll gain: Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, IBM Cloud, Jupyter, Machine Learning, Containerization, Python Programming, Performance Tuning, Scalability, Design Thinking

      4.2
      Rating, 4.2 out of 5 stars
      ·
      54 reviews

      Advanced · Course · 1 - 4 Weeks

    • I

      Imperial College London

      Logistic Regression in R for Public Health

      Skills you'll gain: Descriptive Statistics, Exploratory Data Analysis, Regression Analysis, R Programming, Statistical Modeling, Predictive Modeling, Statistical Analysis, Biostatistics, Feature Engineering, Statistical Inference, Data Analysis Software, Public Health

      4.8
      Rating, 4.8 out of 5 stars
      ·
      363 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Foundations of Sports Analytics: Data, Representation, and Models in Sports

      Skills you'll gain: Statistical Methods, Regression Analysis, Data Cleansing, Statistical Hypothesis Testing, Correlation Analysis, Matplotlib, Data Manipulation, Data Visualization, Statistical Analysis, Scatter Plots, Probability & Statistics, R Programming, Data Analysis, Descriptive Statistics, Pandas (Python Package), Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      186 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Create Training Videos with Powtoon

      Skills you'll gain: Animations, Editing, Writing and Editing, Content Creation, Video Editing, Video Production

      4.5
      Rating, 4.5 out of 5 stars
      ·
      317 reviews

      Beginner · Guided Project · Less Than 2 Hours

    1…676869…370

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

    • Neural Networks and Random Forests: LearnQuest
    • Plant Bioinformatics: University of Toronto
    • Web3 and Blockchain in Global Commerce: INSEAD
    • SQL Joins : Coursera Project Network
    • Introduction to Artificial Intelligence: University of Illinois Urbana-Champaign
    • Getting Started with Microsoft PowerPoint: Coursera Project Network
    • Intelligent Digital Factories: L&T EduTech
    • Using probability distributions for real world problems in R: Coursera Project Network
    • AI Workflow: Enterprise Model Deployment: IBM
    • Logistic Regression in R for Public Health: Imperial College London

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