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    Results for "probabilistic graphical models 3: learning"

    • 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

    • Status: Free Trial
      Free Trial
      N

      New York University

      Guided Tour of Machine Learning in Finance

      Skills you'll gain: Supervised Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Financial Services, Finance, Tensorflow, Jupyter, Reinforcement Learning

      3.8
      Rating, 3.8 out of 5 stars
      ·
      679 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
      C

      Coursera Project Network

      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, Predictive Analytics, Data Pipelines, Feature Engineering, Applied Machine Learning, Machine Learning, Statistical Modeling, Performance Tuning

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Machine Learning with PySpark

      Skills you'll gain: PySpark, Apache Spark, Unsupervised Learning, Data Processing, Distributed Computing, Big Data, Feature Engineering, Machine Learning, Machine Learning Algorithms, Supervised Learning, Scalability, Regression Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Resampling, Selection and Splines

      Skills you'll gain: Data Science, Statistical Machine Learning, Dimensionality Reduction, Advanced Analytics, Statistical Modeling, Statistical Analysis, Sampling (Statistics), Statistical Methods, Regression Analysis, Statistical Inference, Machine Learning Methods, Statistics, Predictive Modeling, Probability Distribution, Performance Tuning

      5
      Rating, 5 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Predictive Modeling with Python

      Skills you'll gain: Probability Distribution, Predictive Modeling, Exploratory Data Analysis, Statistical Methods, Statistical Inference, Data Analysis, Predictive Analytics, Statistical Analysis, Probability & Statistics, Statistical Hypothesis Testing, Descriptive Statistics, Data Cleansing, Data Manipulation, Regression Analysis, Feature Engineering, Data Processing, Machine Learning

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      Clustering and Classification with Machine Learning in R

      Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, 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, Regression Analysis

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Interpretable machine learning applications: Part 3

      Skills you'll gain: Artificial Neural Networks, Tensorflow, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Financial Forecasting, Business Analytics, Predictive Modeling, Deep Learning, Machine Learning, Commercial Lending, Decision Making, Mortgage Loans, Exploratory Data Analysis, Consumer Lending

      4.5
      Rating, 4.5 out of 5 stars
      ·
      21 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: New
      New
      P

      Packt

      Matrix Calculus for Data Science & Machine Learning

      Skills you'll gain: Calculus, Applied Mathematics, NumPy, Applied Machine Learning, Tensorflow, Machine Learning, Python Programming, Derivatives, Algorithms, Development Environment

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Advanced Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, Artificial Neural Networks, Keras (Neural Network Library), PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Applied Machine Learning, Computer Vision, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Network Architecture, Network Model, Data Processing, Performance Tuning

      Advanced · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Intermediate Data Manipulation and Machine Learning

      Skills you'll gain: Reinforcement Learning, Applied Machine Learning, Artificial Intelligence, Dimensionality Reduction, Statistical Analysis, Classification And Regression Tree (CART), Supervised Learning, Unsupervised Learning, Predictive Modeling, Random Forest Algorithm, Feature Engineering, Data Manipulation

      Intermediate · Course · 3 - 6 Months

    1…8910…659

    In summary, here are 10 of our most popular probabilistic graphical models 3: learning courses

    • Mathematics for Machine Learning: PCA: Imperial College London
    • Guided Tour of Machine Learning in Finance: New York University
    • Machine Learning: Random Forest with Python from Scratch©: Packt
    • Tidymodels in R: Building tidy machine learning models: Coursera Project Network
    • Machine Learning with PySpark: Edureka
    • Resampling, Selection and Splines: University of Colorado Boulder
    • Predictive Modeling with Python : Edureka
    • Clustering and Classification with Machine Learning in R: Packt
    • Interpretable machine learning applications: Part 3: Coursera Project Network
    • Matrix Calculus for Data Science & Machine Learning: Packt

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