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Results for "model+regularization"
DeepLearning.AI
Skills you'll gain: Applied Mathematics, Calculus, NumPy, Machine Learning, Jupyter, Python Programming, Artificial Neural Networks, Visualization (Computer Graphics), Deep Learning, Derivatives
DeepLearning.AI
Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Data Transformation, Data Manipulation, Data Science, Machine Learning Algorithms, Applied Mathematics, Python Programming
Skills you'll gain: Supervised Learning, Applied Machine Learning, Matlab, Regression Analysis, Predictive Modeling, Classification And Regression Tree (CART), Machine Learning, Predictive Analytics, Feature Engineering, Statistical Modeling, Data Cleansing, Sampling (Statistics)
- Status: Free
DeepLearning.AI
Skills you'll gain: Generative AI, Jupyter, PyTorch (Machine Learning Library), Image Analysis, Sampling (Statistics), Deep Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Algorithms
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
DeepLearning.AI
Skills you'll gain: Image Analysis, Tensorflow, Computer Vision, JSON, Applied Machine Learning, Javascript, Artificial Neural Networks, Deep Learning, Data Processing, Real Time Data, Web Applications, Machine Learning
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Predictive Modeling, Network Model, Probability & Statistics, Network Analysis, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Natural Language Processing, Algorithms
Stanford University
Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Applied Machine Learning, Natural Language Processing
Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Data Modeling, Predictive Modeling, Statistical Analysis, Applied Mathematics
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Predictive Modeling, Network Model, Network Analysis, Probability Distribution, Statistical Methods, Probability & Statistics, Algorithms, Statistical Inference
Coursera Project Network
Skills you'll gain: Matplotlib, Data Visualization, Seaborn, Exploratory Data Analysis, NumPy, Data Analysis, Jupyter, Machine Learning, Python Programming, Supervised Learning, Algorithms
Johns Hopkins University
Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Data Science, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Statistics
Searches related to model+regularization
In summary, here are 10 of our most popular model+regularization courses
- Calculus for Machine Learning and Data Science: DeepLearning.AI
- Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
- Predictive Modeling and Machine Learning with MATLAB: MathWorks
- How Diffusion Models Work: DeepLearning.AI
- Machine Learning with ChatGPT: Image Classification Model: Coursera Project Network
- Browser-based Models with TensorFlow.js: DeepLearning.AI
- Probabilistic Graphical Models: Stanford University
- Probabilistic Graphical Models 1: Representation: Stanford University
- Advanced Linear Models for Data Science 1: Least Squares: Johns Hopkins University
- Probabilistic Graphical Models 3: Learning: Stanford University