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Results for "probabilistic graphical models 3: learning"
- Status: Free Trial
Imperial College London
Skills you'll gain: Dimensionality Reduction, NumPy, Probability & Statistics, Feature Engineering, Jupyter, Data Science, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Machine Learning, Calculus
- Status: Free Trial
New York University
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
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)
- Status: Free
Coursera Project Network
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
- Status: Free Trial
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
- Status: Free Trial
University of Colorado Boulder
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
- Status: Free Trial
Edureka
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
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
Coursera Project Network
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
- Status: New
Skills you'll gain: Calculus, Applied Mathematics, NumPy, Applied Machine Learning, Tensorflow, Machine Learning, Python Programming, Derivatives, Algorithms, Development Environment
- Status: Free Trial
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
- Status: Free Trial
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
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