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  • Bayesian Methods For Machine Learning

Results for "bayesian methods for machine learning"


  • I

    IBM

    Machine Learning Rapid Prototyping with IBM Watson Studio

    Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Evaluation, Data Transformation, 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
    ·
    16 reviews

    Intermediate · Course · 1 - 4 Weeks

  • A

    Amazon Web Services

    Introduction to Machine Learning: Art of the Possible

    Skills you'll gain: Strategic Leadership, Strategic Decision-Making, Business Transformation, Business Strategy, Data-Driven Decision-Making, AI Enablement, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Decision Making, Technology Roadmaps

    4.3
    Rating, 4.3 out of 5 stars
    ·
    20 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Fundamentals of AI, Machine Learning, and Python Programming

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

    Beginner · Course · 3 - 6 Months

  • P

    Packt

    Building Recommender Systems with Machine Learning and AI

    Skills you'll gain: Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), AWS SageMaker, Scalability, Tensorflow, Dimensionality Reduction, Autoencoders, Applied Machine Learning, Python Programming, Fraud detection, Unsupervised Learning, Data Preprocessing, Model Evaluation, Performance Tuning

    Intermediate · Course · 3 - 6 Months

  • C

    Coursera

    Tidymodels in R: Building tidy machine learning models

    Skills you'll gain: Tidyverse (R Package), Model Evaluation, Data Visualization, Clinical Data Management, Data Preprocessing, Data Manipulation, Predictive Modeling, R Programming, Predictive Analytics, Data Pipelines, Feature Engineering, Applied Machine Learning, Machine Learning, Random Forest Algorithm, Performance Tuning, Logistic Regression

    Intermediate · Guided Project · Less Than 2 Hours

  • W

    Whizlabs

    Azure ML: Explore & Configure the Machine Learning Workspace

    Skills you'll gain: Statistical Modeling, Microsoft Azure, Statistical Methods, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, MLOps (Machine Learning Operations), Azure Synapse Analytics, Cloud Computing, Data Preprocessing, Data Management, Model Deployment, Model Evaluation, Development Environment

    Intermediate · Course · 1 - 4 Weeks

  • Y

    Yonsei University

    Deep Learning for Business

    Skills you'll gain: Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Technology Strategies, Business Strategy, Natural Language Processing, Artificial Intelligence, Machine Learning, Reinforcement Learning, Unsupervised Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    687 reviews

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    Cluster Analysis and Unsupervised Machine Learning in Python

    Skills you'll gain: Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Statistical Methods, Dimensionality Reduction, Algorithms, NumPy, Python Programming

    Intermediate · Course · 1 - 3 Months

  • V

    Vanderbilt University

    Qualitative Methods for Quantitative People (with GenAI)

    Skills you'll gain: Large Language Modeling, Responsible AI, Decision Making, Team Management, Resource Allocation, Generative AI, Qualitative Research, Prompt Engineering, Analysis, Communication, Project Management, Data Ethics, Data-Driven Decision-Making, Data Storytelling, Data Visualization

    2.8
    Rating, 2.8 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    Azure ML Bootcamp: Machine Learning on the Cloud

    Skills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Large Language Modeling, Data Cleansing, Supervised Learning, Data Transformation, Cloud Deployment, Data Ethics, CI/CD, Machine Learning Algorithms, Transfer Learning, Data Quality, Performance Tuning

    Intermediate · Specialization · 1 - 3 Months

  • U

    University of Washington

    Machine Teaching for Autonomous AI

    Skills you'll gain: Data Storytelling, Automation, Decision Support Systems, User Story, AI Product Strategy, Human Machine Interfaces, Artificial Intelligence, Machine Learning, Data-Driven Decision-Making, Innovation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    47 reviews

    Beginner · Course · 1 - 4 Weeks

  • E

    Erasmus University Rotterdam

    Studying Cities: Social Science Methods for Urban Research

    Skills you'll gain: Scientific Methods, Surveys, Research, Research Methodologies, Data Collection, Research Design, Data Analysis, Qualitative Research, Statistical Analysis, Social Sciences, Case Studies

    4.7
    Rating, 4.7 out of 5 stars
    ·
    233 reviews

    Mixed · Course · 1 - 3 Months

1…323334…834

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

  • Machine Learning Rapid Prototyping with IBM Watson Studio: IBM
  • Introduction to Machine Learning: Art of the Possible: Amazon Web Services
  • Fundamentals of AI, Machine Learning, and Python Programming: Packt
  • Building Recommender Systems with Machine Learning and AI: Packt
  • Tidymodels in R: Building tidy machine learning models: Coursera
  • Azure ML: Explore & Configure the Machine Learning Workspace: Whizlabs
  • Deep Learning for Business: Yonsei University
  • Cluster Analysis and Unsupervised Machine Learning in Python: Packt
  • Qualitative Methods for Quantitative People (with GenAI): Vanderbilt University
  • Azure ML Bootcamp: Machine Learning on the Cloud: Packt

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