Filter by
The language used throughout the course, in both instruction and assessments.
Results for "gaussian+mixture+models"
Imperial College London
Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Data Transformation, Jupyter, Data Science, Advanced Mathematics, Statistics, Machine Learning Algorithms, Geometry, Machine Learning Methods, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Mathematical Modeling
Google Cloud
Skills you'll gain: Feature Engineering, Tensorflow, Keras (Neural Network Library), Data Quality, MLOps (Machine Learning Operations), Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Google Cloud Platform, Scikit Learn (Machine Learning Library), Data Cleansing, Data Strategy, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Supervised Learning, Machine Learning Algorithms, Data Analysis, Data Management, Data Governance, Workflow Management
Skills you'll gain: Feature Engineering, Applied Machine Learning, Advanced Analytics, Predictive Modeling, Analytics, Unsupervised Learning, Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Random Forest Algorithm, Decision Tree Learning, Performance Tuning, Python Programming
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Application Deployment, Deep Learning, Cloud Development, Artificial Neural Networks, Data Processing, Scalability, Applied Machine Learning, Machine Learning, Data Transformation
University of California, Santa Cruz
Skills you'll gain: Time Series Analysis and Forecasting, Bayesian Statistics, R Programming, Forecasting, Statistical Inference, Statistical Modeling, Technical Communication, Data Analysis, Probability, Statistical Machine Learning, Statistical Methods, Statistical Analysis, Advanced Analytics, Microsoft Excel, Markov Model, Probability Distribution, Probability & Statistics, Unsupervised Learning, Regression Analysis, Predictive Modeling
Duke University
Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Image Analysis, Applied Machine Learning, Deep Learning, Machine Learning, Natural Language Processing, Supervised Learning, Artificial Neural Networks, Computer Vision, Regression Analysis
Skills you'll gain: Regression Analysis, Statistical Analysis, Advanced Analytics, Correlation Analysis, Analytics, Data Analysis, Statistical Methods, Predictive Modeling, Statistical Modeling, Supervised Learning, Statistics, Statistical Machine Learning, Variance Analysis, Machine Learning Methods, Python Programming
Johns Hopkins University
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Analysis, Data Science, Probability Distribution, Mathematical Modeling, Data Modeling, Applied Mathematics, Predictive Modeling
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Statistical Hypothesis Testing, Predictive Modeling, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Statistical Machine Learning, Feature Engineering, Statistical Analysis, Statistical Modeling, Probability, Correlation Analysis, Data Science, Data Analysis
- Status: Free
Google Cloud
Skills you'll gain: Generative AI, Google Cloud Platform, Image Analysis, Tensorflow, PyTorch (Machine Learning Library), Deep Learning, Unsupervised Learning, Applied Machine Learning
Coursera Project Network
Skills you'll gain: ChatGPT, Keras (Neural Network Library), Applied Machine Learning, Image Analysis, Data Import/Export, Test Data, Machine Learning, Performance Tuning, Artificial Neural Networks, Data Processing
Imperial College London
Skills you'll gain: Dimensionality Reduction, NumPy, Probability & Statistics, Jupyter, Statistics, Geometry, Linear Algebra, Data Transformation, Python Programming, Advanced Mathematics, Machine Learning, Machine Learning Algorithms, Calculus
In summary, here are 10 of our most popular gaussian+mixture+models courses
- Mathematics for Machine Learning: Imperial College London
- Machine Learning on Google Cloud: Google Cloud
- The Nuts and Bolts of Machine Learning: Google
- Build, Train and Deploy ML Models with Keras on Google Cloud: Google Cloud
- Bayesian Statistics: University of California, Santa Cruz
- Introduction to Machine Learning: Duke University
- Regression Analysis: Simplify Complex Data Relationships: Google
- Advanced Statistics for Data Science: Johns Hopkins University
- Data Science: Statistics and Machine Learning: Johns Hopkins University
- Introduction to Image Generation: Google Cloud