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  • Bayesian Methods For Machine Learning

Results for "bayesian methods for machine learning"


  • Status: Free Trial
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    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
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    722 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free
    Free
    T

    The University of Edinburgh

    Learning for Sustainable Futures

    Skills you'll gain: Systems Thinking, Sustainable Development, Environmental Issue, Teaching, Social Impact, Lifelong Learning, Pedagogy, Sustainability Standards, Complex Problem Solving, Visionary, Action Oriented, Community Development, Self-Awareness, Discussion Facilitation

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Build a Machine Learning Web App with Streamlit and Python

    Skills you'll gain: Machine Learning Algorithms, Data Visualization, Dashboard, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Data Science, Python Programming, Pandas (Python Package)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    417 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    New York Institute of Finance

    Reinforcement Learning for Trading Strategies

    Skills you'll gain: Reinforcement Learning, Recurrent Neural Networks (RNNs), Financial Trading, Deep Learning, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Markov Model, Portfolio Risk, Financial Market, Time Series Analysis and Forecasting, Risk Management

    3.5
    Rating, 3.5 out of 5 stars
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    249 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    No-Code Machine Learning Using Amazon AWS SageMaker Canvas

    Skills you'll gain: AWS SageMaker, Applied Machine Learning, Model Evaluation, Amazon Web Services, No-Code Development, Machine Learning, Supervised Learning, Cloud Platforms, Predictive Modeling, Amazon S3, Version Control, Data Preprocessing, Model Deployment

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Google Cloud

    Introduction to AI and Machine Learning on GC - Español

    Skills you'll gain: Google Cloud Platform, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), AI Workflows, Cloud Infrastructure, Big Data, Model Deployment, Machine Learning, Predictive Modeling, Natural Language Processing

    4.3
    Rating, 4.3 out of 5 stars
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    17 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
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    R

    Rice University

    Practical Metacognition for Learning

    Skills you'll gain: Resourcefulness, Cognitive flexibility, Adaptability

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud em Português Brasileiro

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Data Preprocessing, Google Cloud Platform, Keras (Neural Network Library), Data Quality, MLOps (Machine Learning Operations), Embeddings, Model Deployment, Machine Learning, Model Evaluation, Applied Machine Learning, Unsupervised Learning, Data Strategy, Data Pipelines, Data Analysis, Artificial Neural Networks, Deep Learning

    4.7
    Rating, 4.7 out of 5 stars
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    92 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Survey Samples: Size and Methods

    Skills you'll gain: Sample Size Determination, Sampling (Statistics), Survey Creation, Quantitative Research, Research Design, Business Research, Data Collection, Statistical Methods, Statistics, Decision Making, Probability & Statistics

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnKartS

    Models, Methods, and Artifacts

    4.5
    Rating, 4.5 out of 5 stars
    ·
    57 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Machine Learning Operations (MLOps) with Vertex AI: Manage Features

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Modeling, Google Cloud Platform, Feature Engineering, Data Processing, Data Management, Data Storage Technologies, Data Security

    4
    Rating, 4 out of 5 stars
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    14 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    MLOps in R: Deploying machine learning models using vetiver

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Continuous Deployment, R Programming, Dashboard, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Docker (Software), Application Programming Interface (API)

    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

  • TensorFlow 2 for Deep Learning: Imperial College London
  • Learning for Sustainable Futures: The University of Edinburgh
  • Build a Machine Learning Web App with Streamlit and Python: Coursera
  • Reinforcement Learning for Trading Strategies: New York Institute of Finance
  • No-Code Machine Learning Using Amazon AWS SageMaker Canvas: Packt
  • Introduction to AI and Machine Learning on GC - Español: Google Cloud
  • Practical Metacognition for Learning: Rice University
  • Machine Learning with TensorFlow on Google Cloud em Português Brasileiro: Google Cloud
  • Survey Samples: Size and Methods: Coursera
  • Models, Methods, and Artifacts: LearnKartS

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