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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, Model Optimization, Model Training, Applied Machine Learning, Predictive Modeling, Decision Tree Learning, Data Analysis, Regression Analysis, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Data Wrangling, Model Evaluation, Data Preprocessing, Statistical Machine Learning, Feature Engineering

    Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    Scalable Machine Learning on Big Data using Apache Spark

    Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage Technologies, Statistical Machine Learning, Data Preprocessing, Data Storage, Data Pipelines, Machine Learning Algorithms, Machine Learning, Data Processing, Data Science, Model Evaluation, Descriptive Statistics

    ★ 3.8 (1.3K) · Intermediate · Course · 1 - 4 Weeks

    Category: Credit offered
    Credit offered
  • H

    H2O.ai

    Practical Machine Learning on H2O

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Deep Learning, Machine Learning Methods, Autoencoders, Anomaly Detection, Applied Machine Learning, Machine Learning Algorithms, Model Training, Machine Learning, Machine Learning Software, Supervised Learning, Decision Tree Learning, Predictive Modeling, Data Validation, Classification Algorithms, Random Forest Algorithm, Data Import/Export, Model Optimization, Data Manipulation

    ★ 4.5 (74) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • P

    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Predictive Modeling, Matplotlib, Machine Learning Methods, Applied Machine Learning, Seaborn, Statistical Modeling, Data Visualization, Plot (Graphics), Regression Analysis, Machine Learning Algorithms, Pandas (Python Package), Predictive Analytics, Statistical Analysis, Scientific Visualization, Machine Learning Software, Machine Learning, Supervised Learning, Data Science, Statistical Methods, Probability & Statistics

    Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • L

    LearnQuest

    Machine Learning Models in Science

    Skills you'll gain: Data Preprocessing, Applied Machine Learning, Data Processing, Dimensionality Reduction, Data Cleansing, Machine Learning Algorithms, Data Transformation, Machine Learning Methods, Artificial Neural Networks, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Unsupervised Learning, Supervised Learning, Classification Algorithms, Predictive Modeling, Python Programming

    ★ 4.1 (14) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Machine Learning with Spark on Google Cloud Dataproc

    Skills you'll gain: Model Evaluation, Apache Spark, Google Cloud Platform, Logistic Regression, Predictive Modeling, Big Data, Model Training, Data Preprocessing, Applied Machine Learning

    Intermediate · Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • D

    Duke University

    MLOps Platforms: Amazon SageMaker and Azure ML

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Exploratory Data Analysis, Data Pipelines, Model Training, Amazon Web Services, Feature Engineering, Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Applied Machine Learning, Machine Learning Methods, Serverless Computing, Machine Learning, Python Programming

    ★ 3.5 (56) · Advanced · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Improve Accuracy with ML Ensemble Methods

    Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Java Programming, Sampling (Statistics), Statistical Machine Learning, Model Evaluation, Supervised Learning, Machine Learning Methods, Model Training, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • N

    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Decision Tree Learning, Autoencoders, Model Optimization

    Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • A

    Alberta Machine Intelligence Institute

    Optimizing Machine Learning Performance

    Skills you'll gain: Responsible AI, Data Ethics, MLOps (Machine Learning Operations), Model Deployment, Model Optimization, Business Operations, Machine Learning, Ethical Standards And Conduct, Operational Performance Management, Applied Machine Learning, Business Strategy, Risk Mitigation, Systems Integration, Stakeholder Communications

    ★ 4.4 (53) · Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Alberta

    Prediction and Control with Function Approximation

    Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Deep Learning, Feature Engineering, Machine Learning Algorithms, Machine Learning, Supervised Learning, Artificial Neural Networks, Model Training, Algorithms, Pseudocode, Linear Algebra, Network Architecture, Probability Distribution

    ★ 4.8 (848) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Build & Evaluate Decision Trees for ML

    Skills you'll gain: Model Evaluation, Decision Tree Learning, Classification Algorithms, Model Training, Applied Machine Learning, Java, Java Programming, Model Optimization, Predictive Modeling, Machine Learning Software, Supervised Learning, Technical Communication, Fine-tuning, Tree Maps, MLOps (Machine Learning Operations), Machine Learning Algorithms, Algorithms

    Advanced · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…8910…834

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

  • Exploratory Data Analysis & Core ML Algorithms: Packt
  • Scalable Machine Learning on Big Data using Apache Spark: IBM
  • Practical Machine Learning on H2O: H2O.ai
  • Foundations of Data Science and Machine Learning with Python: Packt
  • Machine Learning Models in Science: LearnQuest
  • Machine Learning with Spark on Google Cloud Dataproc: Google Cloud
  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
  • Improve Accuracy with ML Ensemble Methods: Coursera
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Optimizing Machine Learning Performance: Alberta Machine Intelligence Institute

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