Results for "model+regularization"
Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Data Pipelines, Model Evaluation, Systems Design, Transfer Learning, Data Preprocessing, Data Quality, Feature Engineering, Deep Learning, Python Programming, Data Validation, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Software Engineering, Debugging, Supervised Learning, Git (Version Control System), Performance Metric, Statistical Analysis
Status: Top AI ProgramDeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Data Preprocessing, Machine Learning, Machine Learning Methods
Coursera
Skills you'll gain: Model Evaluation, Predictive Modeling, Regression Analysis, Advanced Analytics, Statistical Modeling, Classification Algorithms, Predictive Analytics, Logistic Regression, Data Analysis, Applied Machine Learning, Data-Driven Decision-Making, Business Analysis, Machine Learning Methods, Performance Metric
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Data Preprocessing, Applied Machine Learning, Performance Metric, Regression Analysis, Continuous Monitoring, Statistical Methods, Algorithms
Skills you'll gain: Model Evaluation, Performance Tuning, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning Algorithms
Skills you'll gain: Convolutional Neural Networks, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Data Preprocessing, Performance Tuning, Artificial Intelligence
What brings you to Coursera today?
Skills you'll gain: Verification And Validation, Data Pipelines
Skills you'll gain: Verification And Validation, Sampling (Statistics), Performance Testing, Statistical Machine Learning, Test Data, Machine Learning
Coursera
Skills you'll gain: Predictive Modeling, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Statistical Modeling, Decision Tree Learning, Report Writing
Skills you'll gain: Model Evaluation, Deep Learning, Performance Tuning, Applied Machine Learning, Performance Improvement, Artificial Intelligence and Machine Learning (AI/ML), Performance Analysis
Skills you'll gain: Verification And Validation, Experimentation, Performance Testing, Benchmarking, Performance Analysis, Technical Communication
Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Logistic Regression, Data Analysis, Model Evaluation, Probability & Statistics, Statistical Inference
In summary, here are 10 of our most popular model+regularization courses
- ML Model Training & Validation:Â Coursera
- Mathematics for Machine Learning and Data Science:Â DeepLearning.AI
- Nail Regression & Classification:Â Coursera
- Build Predictive & Supervised Models:Â Coursera
- Optimize ML Models: Hyperparameter Tuning :Â Coursera
- Foundations of Model Optimization and Deep Learning:Â Packt
- Automate, Optimize, and Monitor ML Models:Â Coursera
- Validate and Explain Your ML Models:Â Coursera
- ML: Build, Train, Justify Models:Â Coursera
- Optimize Deep Learning Models for Peak AI:Â Coursera
