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  • Bayesian Methods For Machine Learning

Results for "bayesian methods for machine learning"


  • P

    Packt

    Exploratory Data Analysis & Core ML Algorithms

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Decision Tree Learning, Data Analysis, Regression Analysis, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Model Evaluation, Scikit Learn (Machine Learning Library), Data Preprocessing, Statistical Machine Learning, Feature Engineering

    Intermediate · Course · 1 - 3 Months

  • U

    University of Illinois Urbana-Champaign

    Machine Learning Algorithms with Python in Business Analytics

    Skills you'll gain: Classification Algorithms, Business Analytics, Data Preprocessing, Regression Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Unsupervised Learning, Business Intelligence, Predictive Modeling, Machine Learning, Python Programming, Decision Tree Learning, Supervised Learning, Model Evaluation

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    41 reviews

    Intermediate · Course · 1 - 4 Weeks

  • S

    Stanford University

    Probabilistic Graphical Models 3: Learning

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Bayesian Statistics, Markov Model, Machine Learning, Statistical Modeling, Probability Distribution, Statistical Methods, Algorithms, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    304 reviews

    Advanced · Course · 1 - 3 Months

  • E

    EDUCBA

    Machine Learning with R: Build, Analyze & Predict

    Skills you'll gain: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Model Evaluation, Decision Tree Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16 reviews

    Mixed · Course · 1 - 4 Weeks

  • E

    Edureka

    Applied Machine Learning with Python

    Skills you'll gain: Model Evaluation, Supervised Learning, Machine Learning Methods, Classification Algorithms, Machine Learning, Data Analysis, Driving engagement

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Alberta

    Sample-based Learning Methods

    Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 3 Months

  • D

    Databricks

    Introduction to Computational Statistics for Data Scientists

    Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Applied Machine Learning, Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Model Evaluation, Probability Distribution, Data Science, Logistic Regression, Markov Model, Statistics, Statistical Inference, Statistical Methods, Simulations, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    109 reviews

    Beginner · Specialization · 1 - 3 Months

  • C

    Coursera

    Build Robust Java ML Models with Entropy

    Skills you'll gain: Model Evaluation, Model Deployment, Decision Tree Learning, Data Preprocessing, Classification Algorithms, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Java, Program Evaluation, Machine Learning, Feature Engineering, Algorithms, Program Implementation, Business Development

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Improve Accuracy with ML Ensemble Methods

    Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Data Preprocessing, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Sampling (Statistics), Feature Engineering, Model Evaluation, Supervised Learning, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Predictive Modeling, Matplotlib, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Machine Learning, Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, NumPy, Data Manipulation

    Intermediate · Course · 1 - 3 Months

  • S

    SAS

    Four Rare Machine Learning Skills All Data Scientists Need

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Marketing Analytics, Statistical Machine Learning, Machine Learning, Data Science, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Statistical Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9 reviews

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable machine learning applications: Part 3

    Skills you'll gain: Artificial Neural Networks, Tensorflow, Analytics, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Classification And Regression Tree (CART), Business Analytics, Deep Learning, Machine Learning, Risking, Model Evaluation, Mortgage Loans, Consumer Lending

    4.5
    Rating, 4.5 out of 5 stars
    ·
    26 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Exploratory Data Analysis & Core ML Algorithms: Packt
  • Machine Learning Algorithms with Python in Business Analytics: University of Illinois Urbana-Champaign
  • Probabilistic Graphical Models 3: Learning: Stanford University
  • Machine Learning with R: Build, Analyze & Predict: EDUCBA
  • Applied Machine Learning with Python: Edureka
  • Sample-based Learning Methods: University of Alberta
  • Introduction to Computational Statistics for Data Scientists: Databricks
  • Build Robust Java ML Models with Entropy: Coursera
  • Improve Accuracy with ML Ensemble Methods: Coursera
  • Foundations of Data Science and Machine Learning with Python: Packt

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