Results for "regularization+to+avoid+overfitting"
Status: Free TrialDeepLearning.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, Machine Learning Algorithms, Data Preprocessing, Machine Learning, Machine Learning Methods
Status: Free TrialImperial College London
Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Data Preprocessing, Unsupervised Learning, Feature Engineering, Machine Learning Algorithms, Jupyter, Advanced Mathematics, Statistics, Artificial Neural Networks, Algorithms, Mathematical Modeling, Python Programming, Derivatives
Status: NewStatus: Free TrialSkills you'll gain: Random Forest Algorithm, Decision Tree Learning, Data Preprocessing, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Sampling (Statistics), Feature Engineering, Model Evaluation, Supervised Learning, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation
Status: NewStatus: Free TrialSkills you'll gain: Verification And Validation, Data Pipelines
Status: NewStatus: Free TrialSkills you'll gain: Regression Analysis, Financial Forecasting, Model Evaluation, Data Presentation, Technical Communication, Exploratory Data Analysis, Statistical Programming, R Programming, Statistical Modeling, Predictive Modeling, R (Software), Statistical Analysis, Verification And Validation, Plot (Graphics), Reliability
Status: NewStatus: Free TrialSkills you'll gain: Model Deployment, Model Evaluation, PyTorch (Machine Learning Library), Transfer Learning, Performance Tuning, Debugging, MLOps (Machine Learning Operations), Deep Learning, Scalability, Artificial Neural Networks
What brings you to Coursera today?
Status: Free TrialJohns Hopkins University
Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Artificial Neural Networks, Model Evaluation, Decision Tree Learning, Network Planning And Design, Machine Learning, Computer Vision
Status: NewStatus: Free TrialSkills you'll gain: Model Deployment, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Large Language Modeling, Version Control
Status: NewStatus: FreeAmazon Web Services
Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Vector Databases, Amazon Web Services, Agentic systems, Performance Tuning, Transfer Learning, Data Preprocessing
Status: NewStatus: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Responsible AI, CI/CD, Model Deployment, Continuous Integration, Continuous Delivery, Continuous Deployment, Cloud Platforms, Model Evaluation, Automation, Data Governance, Data Pipelines, Performance Tuning, Continuous Monitoring, Performance Analysis
Status: NewStatus: Free TrialSkills you'll gain: Generative AI, Model Evaluation, Large Language Modeling, Transfer Learning, Performance Tuning, Development Environment, Natural Language Processing, Jupyter
Status: NewStatus: Free TrialCoursera
Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting, Decision Tree Learning, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling
In summary, here are 10 of our most popular regularization+to+avoid+overfitting courses
- Mathematics for Machine Learning and Data Science:Â DeepLearning.AI
- Mathematics for Machine Learning:Â Imperial College London
- Improve Accuracy with ML Ensemble Methods:Â Coursera
- Automate, Optimize, and Monitor ML Models:Â Coursera
- Regression: Identify Assumptions & Apply Models:Â Coursera
- Optimize Deep Learning: Tune PyTorch Models:Â Coursera
- Mastering Neural Networks and Model Regularization:Â Johns Hopkins University
- Optimize AI: Build Reusable Model Pipelines:Â Coursera
- Optimizing Foundation Models:Â Amazon Web Services
- Automate, Validate, and Promote ML Models Safely:Â Coursera
