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  • Bayesian Methods For Machine Learning

Results for "bayesian methods for machine learning"


  • E

    Erasmus University Rotterdam

    Econometrics: Methods and Applications

    Skills you'll gain: Econometrics, Time Series Analysis and Forecasting, Regression Analysis, Logistic Regression, Data Analysis, Analytics, Statistical Analysis, Statistics, Case Studies, Forecasting, Model Evaluation, Probability, Linear Algebra, Peer Review

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.2K reviews

    Mixed · Course · 1 - 3 Months

  • A

    Arizona State University

    Learning How To Learn for Youth

    Skills you'll gain: Learning Strategies, Productivity, Human Learning, Willingness To Learn, Mental Concentration, Creativity, Time Management, Stress Management, Problem Solving, Self-Awareness, Persistence

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3K reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Illinois Urbana-Champaign

    Deep Learning Methods for Healthcare

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, Autoencoders, Recurrent Neural Networks (RNNs), Image Analysis, Embeddings, Machine Learning Methods, Model Deployment, Applied Machine Learning, Artificial Neural Networks, Health Informatics, Unsupervised Learning, Model Evaluation, Medical Imaging, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
    ·
    15 reviews

    Advanced · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Unsupervised Learning, Recommenders, Reinforcement Learning

    Skills you'll gain: Unsupervised Learning, Data Ethics, Machine Learning, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    5.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • A

    Alberta Machine Intelligence Institute

    Data for Machine Learning

    Skills you'll gain: Feature Engineering, Data Preprocessing, Model Evaluation, Data Quality, Supervised Learning, Data Validation, Data Cleansing, Data Ethics, Applied Machine Learning, Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Python Programming, Computer Programming, Linear Algebra, Statistical Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    98 reviews

    Intermediate · Course · 1 - 4 Weeks

  • O

    O.P. Jindal Global University

    Machine Learning for Marketing

    Skills you'll gain: Marketing Analytics, Anomaly Detection, Digital Marketing, Web Analytics, Digital Advertising, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Search Engine Marketing, Supervised Learning, Online Advertising, Customer Retention, Text Mining, Predictive Analytics, Search Engine Optimization, Google Ads, Customer Insights, Google Analytics, Data Ethics, Data Mining

    3.8
    Rating, 3.8 out of 5 stars
    ·
    19 reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of Colorado System

    Machine Learning for Marketers

    Skills you'll gain: Classification And Regression Tree (CART), AI Personalization, Marketing Analytics, Unsupervised Learning, Customer Analysis, Predictive Analytics, Applied Machine Learning, Supervised Learning, Dimensionality Reduction, Marketing Effectiveness, Marketing Strategies, Data-Driven Decision-Making, Strategic Marketing, Campaign Management, Customer experience improvement, Personalized Service, Customer Insights, Model Evaluation, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Illinois Urbana-Champaign

    Advanced Deep Learning Methods for Healthcare

    Skills you'll gain: Deep Learning, Applied Machine Learning, Generative Adversarial Networks (GANs), Healthcare Project Management, Machine Learning Methods, Image Analysis, Graph Theory, Artificial Neural Networks, Convolutional Neural Networks, Health Informatics, Autoencoders, Recurrent Neural Networks (RNNs), Predictive Modeling, Unsupervised Learning, Python Programming

    3.6
    Rating, 3.6 out of 5 stars
    ·
    15 reviews

    Advanced · Course · 1 - 4 Weeks

  • U

    University of Amsterdam

    Methods and Statistics in Social Sciences

    Skills you'll gain: Qualitative Research, Scientific Methods, Statistical Analysis, Statistical Hypothesis Testing, Research, Research Design, Sampling (Statistics), Research Reports, Science and Research, Interviewing Skills, Data Analysis, Data Collection, Research Methodologies, Social Sciences, Surveys, Quantitative Research, Statistics, Regression Analysis, Statistical Inference, R Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.9K reviews

    Beginner · Specialization · 3 - 6 Months

  • I

    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Transfer Learning, Convolutional Neural Networks, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    722 reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of Alberta

    Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Simulations, Feature Engineering, Markov Model, Supervised Learning, Algorithms, Model Evaluation, Artificial Neural Networks, Performance Testing, Performance Tuning, Pseudocode, Linear Algebra, Probability Distribution

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • P

    Pearson

    Learning Deep Learning

    Skills you'll gain: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, Model Deployment, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Vision Transformer (ViT), LLM Application, Transfer Learning, Computer Vision, Responsible AI, Natural Language Processing, Embeddings, Keras (Neural Network Library), Generative AI, Artificial Neural Networks, Multimodal Prompts

    Intermediate · Specialization · 1 - 4 Weeks

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

  • Econometrics: Methods and Applications: Erasmus University Rotterdam
  • Learning How To Learn for Youth: Arizona State University
  • Deep Learning Methods for Healthcare: University of Illinois Urbana-Champaign
  • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
  • Data for Machine Learning: Alberta Machine Intelligence Institute
  • Machine Learning for Marketing: O.P. Jindal Global University
  • Machine Learning for Marketers: University of Colorado System
  • Advanced Deep Learning Methods for Healthcare: University of Illinois Urbana-Champaign
  • Methods and Statistics in Social Sciences: University of Amsterdam
  • TensorFlow 2 for Deep Learning: Imperial College London

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