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Results for "regularization+techniques"
Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Processing, Data Cleansing, Machine Learning, Regression Analysis, Feature Engineering, Statistical Modeling, Sampling (Statistics), Performance Metric
Skills you'll gain: Feature Engineering, Tensorflow, Exploratory Data Analysis, Data Quality, Applied Machine Learning, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, MLOps (Machine Learning Operations), Data Cleansing, Data Strategy, Scikit Learn (Machine Learning Library), Business Metrics, Dataflow, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Performance Tuning, Artificial Neural Networks, Data Pipelines, Deep Learning
Skills you'll gain: Supervised Learning, Applied Machine Learning, Regression Analysis, Machine Learning Algorithms, Machine Learning, Data Validation, Predictive Modeling, Statistical Modeling, Scikit Learn (Machine Learning Library), Feature Engineering, Estimation, Performance Metric
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
University of Colorado Boulder
Skills you'll gain: Unsupervised Learning, Supervised Learning, Deep Learning, Machine Learning Algorithms, Dimensionality Reduction, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Statistical Machine Learning, Random Forest Algorithm, Predictive Modeling, Statistical Visualization, Keras (Neural Network Library), Generative AI, Artificial Neural Networks, Python Programming, Tensorflow, Machine Learning, Data Science
- Status: Free
University of Minnesota
Skills you'll gain: Dimensionality Reduction, NumPy, Linear Algebra, Machine Learning Methods, Data Analysis, Regression Analysis, Mathematical Modeling, Applied Mathematics, Solution Design, Applied Machine Learning, Data Manipulation, Exploratory Data Analysis, Algorithms, Python Programming
Skills you'll gain: Anomaly Detection, Image Analysis, Computer Vision, Matlab, Deep Learning, Applied Machine Learning, Application Deployment, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Synthesis, Data Manipulation
The Hong Kong University of Science and Technology
Skills you'll gain: Matlab, Engineering Calculations, Numerical Analysis, Engineering Analysis, Linear Algebra, Differential Equations, Mathematical Modeling, Computational Thinking, Integral Calculus, Simulations, Scientific Visualization, Programming Principles, Algorithms, Debugging
DeepLearning.AI
Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Network Model, Network Architecture, Machine Learning
Johns Hopkins University
Skills you'll gain: Anatomy, Radiology, Image Analysis, Data Analysis, Analysis, Data Manipulation, Analytical Skills, Experimentation, Research Design, R Programming, Statistical Analysis, Clinical Research, Psychology, Network Analysis, Statistical Methods, Data Processing, Regression Analysis, Scientific Visualization, Science and Research, Scientific Methods
Technical University of Denmark (DTU)
Skills you'll gain: Jupyter, 3D Modeling, Image Analysis, Data Manipulation, Data Analysis, Data Processing, Mathematical Modeling, Simulation and Simulation Software, Python Programming
DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Data Science, Exploratory Data Analysis, Data Analysis, Statistical Visualization
In summary, here are 10 of our most popular regularization+techniques courses
- Supervised Machine Learning: Classification: IBM
- Machine Learning with TensorFlow on Google Cloud en Español: Google Cloud
- Supervised Machine Learning: Regression: IBM
- Mathematics for Machine Learning: PCA: Imperial College London
- Machine Learning: Theory and Hands-on Practice with Python: University of Colorado Boulder
- Matrix Methods: University of Minnesota
- Advanced Deep Learning Techniques for Computer Vision: MathWorks
- Numerical Methods for Engineers: The Hong Kong University of Science and Technology
- Custom Models, Layers, and Loss Functions with TensorFlow: DeepLearning.AI
- Neuroscience and Neuroimaging: Johns Hopkins University