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Recommender Systems Courses

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IBM
Ciencia de Datos de IBMIBM
University of Chicago
Machine Learning for Analytics MasterTrack™ CertificateUniversity of Chicago
IBM
Ciencia de Datos de IBMIBM
University of Chicago
Machine Learning for Analytics MasterTrack™ CertificateUniversity of Chicago

Showing 340 total results for "recommender systems"

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    Recommender Systems
    University of Minnesota
    SPECIALIZATION
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    Rated 4.4 out of five stars. 706 reviews
    4.4(706)
    37k students
    Intermediate LevelIntermediate
  • Placeholder
    Advanced Machine Learning with TensorFlow on Google Cloud Platform
    Google Cloud
    SPECIALIZATION
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    Rated 4.5 out of five stars. 1975 reviews
    4.5(1,975)
    59k students
    Advanced LevelAdvanced
  • Placeholder
    Basic Recommender Systems
    EIT Digital
    COURSE
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    Rated 4.3 out of five stars. 14 reviews
    4.3(14)
    Intermediate LevelIntermediate
  • Placeholder
    Build a Recommender System in Python
    Coursera Project Network

    NEW

    GUIDED PROJECT
    Intermediate LevelIntermediate
  • Placeholder
    Recommendation Systems with TensorFlow on GCP
    Google Cloud
    COURSE
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    Rated 4.5 out of five stars. 396 reviews
    4.5(396)
    12k students
    Advanced LevelAdvanced
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    Advanced Recommender Systems
    EIT Digital
    COURSE
    Intermediate LevelIntermediate
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    Building Similarity Based Recommendation System
    Coursera Project Network

    NEW

    GUIDED PROJECT
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    Rated 4.4 out of five stars. 23 reviews
    4.4(23)
    Intermediate LevelIntermediate
  • Placeholder
    Ciencia de Datos de IBM
    IBM
    PROFESSIONAL CERTIFICATE
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    Rated 4.7 out of five stars. 37 reviews
    4.7(37)
    Beginner LevelBeginner
  • Placeholder
    Introduction to Recommender Systems: Non-Personalized and Content-Based
    University of Minnesota
    COURSE
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    Rated 4.5 out of five stars. 569 reviews
    4.5(569)
    29k students
    Intermediate LevelIntermediate
  • Placeholder
    Machine Learning Foundations: A Case Study Approach
    University of Washington
    COURSE
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    Rated 4.6 out of five stars. 12180 reviews
    4.6(12,180)
    330k students
    Mixed LevelMixed
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    Machine Learning
    Stanford University
    COURSE
    Filled StarFilled StarFilled StarFilled StarFilled Star
    Rated 4.9 out of five stars. 155985 reviews
    4.9(155,985)
    4m students
    Mixed LevelMixed
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    Music Recommender System Using Pyspark
    Coursera Project Network

    NEW

    GUIDED PROJECT
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    Rated 4.4 out of five stars. 7 reviews
    4.4(7)
    Intermediate LevelIntermediate
  • Placeholder
    Recommender Systems: Evaluation and Metrics
    University of Minnesota
    COURSE
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    Rated 4.4 out of five stars. 210 reviews
    4.4(210)
    10k students
    Mixed LevelMixed
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    Recommender Systems Capstone
    University of Minnesota
    COURSE
    Filled StarFilled StarFilled StarFilled StarStar
    Rated 4.2 out of five stars. 27 reviews
    4.2(27)
    1.6k students
    Mixed LevelMixed
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    Machine Learning with Python
    IBM
    COURSE
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    Rated 4.7 out of five stars. 10577 reviews
    4.7(10,577)
    190k students
    Intermediate LevelIntermediate
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    Foundations of Public Health Practice
    Imperial College London
    SPECIALIZATION
    Filled StarFilled StarFilled StarFilled StarFilled Star
    Rated 4.8 out of five stars. 305 reviews
    4.8(305)
    16k students
    Beginner LevelBeginner
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    Business English for Non-Native Speakers
    The Hong Kong University of Science and Technology
    SPECIALIZATION
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    Rated 4.5 out of five stars. 1702 reviews
    4.5(1,702)
    210k students
    Beginner LevelBeginner
  • Placeholder
    AI & Law
    Lund University
    COURSE
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    Rated 4.7 out of five stars. 10 reviews
    4.7(10)
    Mixed LevelMixed
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    Stanford's Short Course on Breastfeeding
    Stanford University
    COURSE
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    Rated 4.7 out of five stars. 1066 reviews
    4.7(1,066)
    24k students
    Beginner LevelBeginner
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    Data Literacy
    Johns Hopkins University
    SPECIALIZATION
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    Rated 4.6 out of five stars. 43 reviews
    4.6(43)
    2.2k students
    Beginner LevelBeginner

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recommender systems capstone

recommender systems: evaluation and metrics

advanced recommender systems

basic recommender systems

introduction to recommender systems: non-personalized and content-based

music recommender system using pyspark

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build a recommender system in python

1234…17Chevron Right

In summary, here are 10 of our most popular recommender systems courses

  • Recommender Systems: University of Minnesota
  • Advanced Machine Learning with TensorFlow on Google Cloud Platform: Google Cloud
  • Basic Recommender Systems: EIT Digital
  • Build a Recommender System in Python: Coursera Project Network
  • Recommendation Systems with TensorFlow on GCP: Google Cloud
  • Advanced Recommender Systems: EIT Digital
  • Building Similarity Based Recommendation System: Coursera Project Network
  • Ciencia de Datos de IBM: IBM
  • Introduction to Recommender Systems: Non-Personalized and Content-Based: University of Minnesota
  • Machine Learning Foundations: A Case Study Approach: University of Washington

Skills you can learn in Probability And Statistics

R Programming (19)
Inference (16)
Linear Regression (12)
Statistical Analysis (12)
Statistical Inference (11)
Regression Analysis (10)
Biostatistics (9)
Bayesian (7)
Logistic Regression (7)
Probability Distribution (7)
Bayesian Statistics (6)
Medical Statistics (6)
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