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  • Bayesian Methods For Machine Learning

Results for "bayesian methods for machine learning"


  • Status: New
    New
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    N

    Northeastern University

    Machine Learning and Data Analytics Part 2

    Skills you'll gain: Data Mining, Text Mining, Time Series Analysis and Forecasting, Artificial Neural Networks, Statistical Analysis, Supervised Learning, Predictive Modeling, Deep Learning, Big Data, Data Science, Feature Engineering, Classification And Regression Tree (CART), Unsupervised Learning, Regression Analysis, Machine Learning, Algorithms

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    P

    Packt

    Game Development, Data Science, and Machine Learning

    Skills you'll gain: Predictive Modeling, Data Visualization, Statistical Modeling, Feature Engineering, Data Science, Data Cleansing, Animation and Game Design

    Intermediate · Course · 3 - 6 Months

  • C

    Coursera

    Build your first Machine Learning Pipeline using Dataiku

    Skills you'll gain: Data Import/Export, No-Code Development, Exploratory Data Analysis, Predictive Modeling, Machine Learning Methods, Applied Machine Learning, Data Pipelines, Data Manipulation, Data Analysis, Machine Learning, Predictive Analytics, Time Series Analysis and Forecasting

    4.5
    Rating, 4.5 out of 5 stars
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    59 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    IBM

    AI Workflow: Machine Learning, Visual Recognition and NLP

    Skills you'll gain: Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, IBM Cloud, Machine Learning, Predictive Modeling, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Computer Vision, Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    90 reviews

    Advanced · Course · 1 - 4 Weeks

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    Vanderbilt University

    Qualitative Methods for Quantitative People (with GenAI)

    Skills you'll gain: Large Language Modeling, Responsible AI, LLM Application, 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
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    8 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Build a Machine Learning Image Classifier with Python

    Skills you'll gain: Keras (Neural Network Library), Image Analysis, Data Processing, Data Manipulation, Visualization (Computer Graphics), Tensorflow, Applied Machine Learning, Computer Vision, Deep Learning, Python Programming, Machine Learning

    4.1
    Rating, 4.1 out of 5 stars
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    11 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Advanced AI and Machine Learning Techniques and Capstone

    Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Applied Machine Learning, Data Ethics, Machine Learning Methods, Scalability, Machine Learning, Distributed Computing, MLOps (Machine Learning Operations), Ethical Standards And Conduct, Microsoft Azure, Information Privacy

    4.6
    Rating, 4.6 out of 5 stars
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    29 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    Building Recommender Systems with Machine Learning and AI

    Skills you'll gain: AI Personalization, Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), AWS SageMaker, Scalability, Tensorflow, Dimensionality Reduction, Applied Machine Learning, Python Programming, Fraud detection, Predictive Modeling, Machine Learning Algorithms, Unsupervised Learning, Data Processing

    Intermediate · Course · 3 - 6 Months

  • Status: Free
    Free
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    Coursera

    Tidymodels in R: Building tidy machine learning models

    Skills you'll gain: Tidyverse (R Package), Data Visualization, Clinical Data Management, Data Manipulation, Predictive Modeling, R Programming, Data Processing, Data Cleansing, Predictive Analytics, Data Pipelines, Feature Engineering, Applied Machine Learning, Machine Learning, Statistical Modeling, Performance Tuning, Hospital Medicine

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Deep Learning for Healthcare

    Skills you'll gain: Deep Learning, Health Informatics, Image Analysis, Generative Model Architectures, Machine Learning, Applied Machine Learning, Health Care, Artificial Neural Networks, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Graph Theory, Computer Vision, Tensorflow, PyTorch (Machine Learning Library), Predictive Modeling, Medical Science and Research, Unsupervised Learning, Program Development, Big Data

    3.3
    Rating, 3.3 out of 5 stars
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    49 reviews

    Advanced · Specialization · 1 - 3 Months

  • Status: Free
    Free
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    Amazon Web Services

    Introduction to Machine Learning: Art of the Possible

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

    4.1
    Rating, 4.1 out of 5 stars
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    17 reviews

    Beginner · Course · 1 - 4 Weeks

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    Packt

    Clustering and Classification with Machine Learning in R

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Exploratory Data Analysis, Classification And Regression Tree (CART), Feature Engineering, Random Forest Algorithm, Data Processing, Statistical Programming, Predictive Modeling, Data Manipulation

    Beginner · Course · 1 - 3 Months

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

  • Machine Learning and Data Analytics Part 2: Northeastern University
  • Game Development, Data Science, and Machine Learning: Packt
  • Build your first Machine Learning Pipeline using Dataiku : Coursera
  • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
  • Qualitative Methods for Quantitative People (with GenAI): Vanderbilt University
  • Build a Machine Learning Image Classifier with Python: Coursera
  • Advanced AI and Machine Learning Techniques and Capstone: Microsoft
  • Building Recommender Systems with Machine Learning and AI: Packt
  • Tidymodels in R: Building tidy machine learning models: Coursera
  • Deep Learning for Healthcare: University of Illinois Urbana-Champaign

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