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    Results for "bayesian methods for machine learning"

    • Status: Free Trial
      Free Trial
      N

      New York Institute of Finance

      Using Machine Learning in Trading and Finance

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Financial Trading, Data Pipelines, Applied Machine Learning, Technical Analysis, Machine Learning, Statistical Machine Learning, Market Data, Financial Market, Deep Learning, Python Programming, Artificial Neural Networks

      3.9
      Rating, 3.9 out of 5 stars
      ·
      375 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 3: Learning

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Statistical Modeling, Network Analysis, Probability Distribution, Statistical Methods, Probability & Statistics, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      303 reviews

      Advanced · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Scikit-Learn For Machine Learning Classification Problems

      Skills you'll gain: Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      17 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Build and Operate Machine Learning Solutions with Azure

      Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Databricks, Cloud Computing, Applied Machine Learning, Data Ethics, Data Pipelines, Machine Learning, Tensorflow, Continuous Monitoring, Data Security, Scalability

      3.8
      Rating, 3.8 out of 5 stars
      ·
      67 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning: PCA

      Skills you'll gain: Dimensionality Reduction, NumPy, Probability & Statistics, Feature Engineering, Jupyter, Data Science, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Machine Learning, Calculus

      4
      Rating, 4 out of 5 stars
      ·
      3.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Machine Learning: Random Forest with Python from Scratch©

      Skills you'll gain: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Predictive Analytics, Machine Learning Algorithms, Data Visualization, Machine Learning, Programming Principles, Data Manipulation, Feature Engineering, Data Cleansing, Supervised Learning, Python Programming, Data Science, Data Processing, NumPy, Pandas (Python Package)

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      A

      Amazon Web Services

      Machine Learning Essentials for Business and Technical Decision Makers

      Skills you'll gain: Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Technology Roadmaps, Data-Driven Decision-Making, Artificial Intelligence and Machine Learning (AI/ML), Business Analytics, Business Solutions, Organizational Strategy, Organizational Change, Product Roadmaps, Feasibility Studies, System Requirements, Solution Design

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Alberta Machine Intelligence Institute

      Optimizing Machine Learning Performance

      Skills you'll gain: Data Ethics, MLOps (Machine Learning Operations), Business Operations, Machine Learning, Ethical Standards And Conduct, Operational Analysis, Applied Machine Learning, Business Strategy, Production Planning, Data Maintenance, Maintainability, Risk Mitigation, Performance Metric, Systems Integration, Stakeholder Communications

      4.4
      Rating, 4.4 out of 5 stars
      ·
      50 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Sample-based Learning Methods

      Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      G

      Google Cloud

      Using BigQuery Machine Learning for inference

      Skills you'll gain: Data Analysis, Big Data, Applied Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Machine Learning

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      SAS

      Modeling Time Series and Sequential Data

      Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Regression Analysis, Applied Machine Learning, Statistical Analysis, Advanced Analytics, Statistical Methods, Predictive Modeling, Statistical Modeling, Bayesian Statistics, Artificial Neural Networks

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Glasgow

      Machine Learning and its Applications

      Skills you'll gain:

      Beginner · Course · 1 - 3 Months

    1…678…834

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

    • Using Machine Learning in Trading and Finance: New York Institute of Finance
    • Probabilistic Graphical Models 3: Learning: Stanford University
    • Scikit-Learn For Machine Learning Classification Problems: Coursera Project Network
    • Build and Operate Machine Learning Solutions with Azure: Microsoft
    • Mathematics for Machine Learning: PCA: Imperial College London
    • Machine Learning: Random Forest with Python from Scratch©: Packt
    • Machine Learning Essentials for Business and Technical Decision Makers: Amazon Web Services
    • Optimizing Machine Learning Performance: Alberta Machine Intelligence Institute
    • Sample-based Learning Methods: University of Alberta
    • Using BigQuery Machine Learning for inference: Google Cloud

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