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  • Bayesian Methods For Machine Learning

Results for "bayesian methods for machine learning"


  • M

    MathWorks

    Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Unsupervised Learning, Supervised Learning, Control Systems, Simulations

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Machine Learning Foundations

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Dimensionality Reduction, Data Preprocessing, Python Programming, Recurrent Neural Networks (RNNs), Reinforcement Learning

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Washington

    Machine Learning: Regression

    Skills you'll gain: Regression Analysis, Model Evaluation, Predictive Modeling, Supervised Learning, Statistical Modeling, Feature Engineering, Machine Learning, Data Preprocessing, Python Programming, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.6K reviews

    Mixed · Course · 1 - 3 Months

  • I

    IBM

    Machine Learning Capstone

    Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Data Analysis, Applied Machine Learning, Statistical Analysis, Data Mining, Predictive Modeling, Machine Learning, Technical Communication, Scikit Learn (Machine Learning Library), Regression Analysis, Artificial Neural Networks, Deep Learning, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    198 reviews

    Advanced · Course · 1 - 3 Months

  • U

    University of Washington

    Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Applied Machine Learning, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Text Mining, Machine Learning Algorithms, Scalability, Machine Learning, Natural Language Processing, Big Data, Probability & Statistics, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.7K reviews

    Mixed · Course · 1 - 3 Months

  • I

    IBM

    Unsupervised Machine Learning

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Feature Engineering, Machine Learning, Text Mining, Data Science, Big Data, Data Analysis, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    361 reviews

    Intermediate · Course · 1 - 3 Months

  • S

    Stanford University

    Fundamentals of Machine Learning for Healthcare

    Skills you'll gain: Healthcare Ethics, Data Ethics, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Responsible AI, Artificial Neural Networks, Healthcare Industry Knowledge, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Deep Learning, Convolutional Neural Networks, Health Policy, Data Preprocessing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    620 reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Alberta

    Fundamentals of Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Markov Model, Algorithms, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.9K reviews

    Intermediate · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Advanced Learning Algorithms

    Skills you'll gain: Transfer Learning, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Artificial Intelligence, Supervised Learning, Deep Learning, Classification Algorithms, Random Forest Algorithm, Artificial Neural Networks, Logistic Regression, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Illinois Urbana-Champaign

    Machine Learning for Accounting with Python

    Skills you'll gain: Model Evaluation, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Unsupervised Learning, Text Mining, Time Series Analysis and Forecasting, Pandas (Python Package), Classification Algorithms, Machine Learning, Applied Machine Learning, Supervised Learning, Predictive Modeling, Feature Engineering, Statistical Analysis, Jupyter, Regression Analysis, Data Preprocessing, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    45 reviews

    Intermediate · Course · 1 - 3 Months

  • D

    Duke University

    Interpretable Machine Learning

    Skills you'll gain: Responsible AI, Large Language Modeling, Decision Tree Learning, Data Ethics, Regression Analysis, Predictive Modeling, Artificial Intelligence, Machine Learning, Statistical Modeling, Python Programming, Logistic Regression, Deep Learning, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
    ·
    29 reviews

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Applied Machine Learning

    Skills you'll gain: Computer Vision, Model Evaluation, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Data Preprocessing, Dimensionality Reduction, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Convolutional Neural Networks, Regression Analysis, Data Processing, Machine Learning, Data Mining, Data Cleansing, Deep Learning, Artificial Neural Networks

    3.6
    Rating, 3.6 out of 5 stars
    ·
    15 reviews

    Intermediate · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular bayesian methods for machine learning courses

  • Reinforcement Learning: MathWorks
  • Machine Learning Foundations: Packt
  • Machine Learning: Regression: University of Washington
  • Machine Learning Capstone: IBM
  • Machine Learning: Classification: University of Washington
  • Unsupervised Machine Learning: IBM
  • Fundamentals of Machine Learning for Healthcare: Stanford University
  • Fundamentals of Reinforcement Learning: University of Alberta
  • Advanced Learning Algorithms: DeepLearning.AI
  • Machine Learning for Accounting with Python: University of Illinois Urbana-Champaign

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