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  • Probabilistic Graphical Models 3 Learning

Results for "probabilistic graphical models 3: learning"


  • Status: Preview
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    G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - 한국어

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, DevOps, Application Lifecycle Management, Continuous Deployment, Application Deployment, Machine Learning, Applied Machine Learning, Continuous Integration, Automation, Data Management

    Intermediate · Course · 1 - 4 Weeks

  • C

    Commonwealth Education Trust

    Foundations of Teaching for Learning: Being a Professional

    Skills you'll gain: Teaching, Professional Development, Lifelong Learning, Ethical Standards And Conduct, Professionalism, Personal Development, Education and Training, Pedagogy, Willingness To Learn, Instructing, Working With Children, Collaboration, Leadership

    4.8
    Rating, 4.8 out of 5 stars
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    216 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Machine Learning Algorithms with Python in Business Analytics

    Skills you'll gain: Business Analytics, Regression Analysis, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Scikit Learn (Machine Learning Library), Unsupervised Learning, Data Processing, Predictive Modeling, Machine Learning, Workflow Management, Python Programming, Supervised Learning

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    39 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Scikit-Learn to Solve Regression Machine Learning Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Predictive Analytics, Python Programming, Machine Learning, Data Analysis, Random Forest Algorithm

    4.8
    Rating, 4.8 out of 5 stars
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    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Data Engineering, Big Data, and Machine Learning on GCP

    Skills you'll gain: Feature Engineering, PySpark, Data Import/Export, Apache Spark, Apache Kafka, Apache Hadoop, Dashboard, Data Governance, Cloud Services, Metadata Management, Data Management, Applied Machine Learning, Apache Hive, Application Programming Interface (API), Jupyter, Data Quality, Big Data, Data Transformation, Looker (Software), Scalability

    4.6
    Rating, 4.6 out of 5 stars
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    4.4K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    Northeastern University

    Machine Learning and Data Analytics Part 1

    Skills you'll gain: Exploratory Data Analysis, Data Mining, Dimensionality Reduction, Regression Analysis, Data Analysis, Big Data, Analytics, Feature Engineering, Engineering Analysis, Predictive Modeling, Data Science, Data Processing, Statistical Analysis, Applied Machine Learning, Supervised Learning, Classification And Regression Tree (CART), Data Cleansing, Unsupervised Learning, Machine Learning, Data Transformation

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Build a Machine Learning Image Classifier with Python

    Skills you'll gain: Keras (Neural Network Library), Image Analysis, Data Processing, Data Manipulation, Visualization (Computer Graphics), Tensorflow, Applied Machine Learning, Computer Vision, Deep Learning, Python Programming, Machine Learning

    4.1
    Rating, 4.1 out of 5 stars
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    11 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Fundamentals of AI, Machine Learning, and Python Programming

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), NumPy, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Python Programming, Artificial Neural Networks, Data Manipulation, Programming Principles, Tensorflow, Regression Analysis, Machine Learning, Computer Programming, Integrated Development Environments

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    The Teacher and Social and Emotional Learning (SEL)

    Skills you'll gain: Teaching, Social Justice, Emotional Intelligence, Social Skills, Empathy, Self-Awareness, Higher Education, Behavior Management, Classroom Management, Cultural Responsiveness, Curriculum Planning, School Psychology, Empowerment, Personal Development, Childhood Education and Development, Program Evaluation, Advocacy, Professional Development, Growth Mindedness, Mindfulness

    4.7
    Rating, 4.7 out of 5 stars
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    938 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
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    IBM

    Machine Learning Rapid Prototyping with IBM Watson Studio

    Skills you'll gain: Feature Engineering, Data Transformation, Data Processing, Data Cleansing, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
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    16 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Active Learning in STEM with PhET Interactive Simulations

    Skills you'll gain: Instructional Strategies, Teaching, Education Software and Technology, Mathematics Education, Pedagogy, Simulations, Simulation and Simulation Software, Curriculum Planning, Student Engagement, Web Content Accessibility Guidelines, User Feedback, Experimentation, Research, Peer Review, Design Strategies, Scientific Visualization, Design, Physics, Biology, Chemistry

    4.9
    Rating, 4.9 out of 5 stars
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    146 reviews

    Beginner · Specialization · 3 - 6 Months

  • P

    Packt

    Regression Analysis for Statistics & Machine Learning in R

    Skills you'll gain: Data Cleansing, R Programming, Statistical Analysis, R (Software), Data Manipulation, Classification And Regression Tree (CART), Advanced Analytics, Statistical Modeling, Random Forest Algorithm, Statistical Methods, Predictive Modeling, Exploratory Data Analysis, Feature Engineering, Machine Learning, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular probabilistic graphical models 3: learning courses

  • Machine Learning Operations (MLOps): Getting Started - 한국어: Google Cloud
  • Foundations of Teaching for Learning: Being a Professional: Commonwealth Education Trust
  • Machine Learning Algorithms with Python in Business Analytics: University of Illinois Urbana-Champaign
  • Scikit-Learn to Solve Regression Machine Learning Problems: Coursera
  • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
  • Machine Learning and Data Analytics Part 1: Northeastern University
  • Build a Machine Learning Image Classifier with Python: Coursera
  • Fundamentals of AI, Machine Learning, and Python Programming: Packt
  • The Teacher and Social and Emotional Learning (SEL): University of Colorado Boulder
  • Machine Learning Rapid Prototyping with IBM Watson Studio: IBM

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