Results for "regularization techniques"
Johns Hopkins University
Skills you'll gain: Responsible AI, Autoencoders, Model Training, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Model Optimization, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Generative Model Architectures, Debugging, Machine Learning Methods, Artificial Intelligence, Image Analysis, Unsupervised Learning
University of Pittsburgh
Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Plot (Graphics), Statistics, Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning
Johns Hopkins University
Skills you'll gain: Magnetic Resonance Imaging, Neurology, Medical Imaging, Diagnostic Radiology, Anatomy, Image Analysis, Data Analysis, Correlation Analysis, Data Manipulation, R (Software), Radiology, Experimentation, Research Design, Laboratory Research, Statistical Analysis, Image Quality, Advanced Analytics, R Programming, Statistical Methods, Statistics
Illinois Tech
Skills you'll gain: Machine Learning Algorithms, Model Evaluation, Statistical Analysis, Bayesian Statistics, Data Visualization, Statistical Inference, Exploratory Data Analysis, Statistical Methods, Data Presentation, Analysis, Probability & Statistics, Data Cleansing, Applied Machine Learning, Regression Analysis, Analytics, Statistical Programming, Data Analysis, Logistic Regression, R Programming, Verification And Validation
Illinois Tech
Skills you'll gain: Statistical Analysis, Time Series Analysis and Forecasting, Data Analysis, Machine Learning Algorithms, Model Evaluation, Data Visualization, Data Science, Exploratory Data Analysis, Data Presentation, Statistical Programming, Statistical Methods, Statistical Machine Learning, Analysis, Statistical Modeling, Applied Machine Learning, Probability & Statistics, R (Software), Statistical Software, Forecasting, Machine Learning
Skills you'll gain: Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning Software, Model Training, Data Preprocessing, Data Processing, Hugging Face, Classification Algorithms
What brings you to Coursera today?
Skills you'll gain: Advanced Analytics, Generative AI, Decision Intelligence, Data-Driven Marketing, Marketing Analytics, Analytics, Simulations, Applied Machine Learning, Operations Research, Analytical Skills, Model Optimization, Business Analytics, Risk Analysis, Process Optimization, Return On Investment, Machine Learning, Data Science, Reinforcement Learning, Business Strategy, Statistics
Skills you'll gain: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Model Deployment, Model Optimization, Cloud Deployment, Amazon Web Services, Applied Machine Learning, Model Training, Advanced Analytics, Machine Learning Methods, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Model Evaluation, Forecasting, Data Preprocessing, Dimensionality Reduction
Coursera
Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Model Training, Machine Learning Algorithms, Feature Engineering, Machine Learning Software, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting, Decision Tree Learning, Anomaly Detection, Data Manipulation
Skills you'll gain: Model Deployment, Anomaly Detection, Image Analysis, Computer Vision, Model Training, Matlab, Generative AI, Deep Learning, Model Evaluation, Data Preprocessing, Interoperability
DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Fine-tuning, Deep Learning, Keras (Neural Network Library), Model Training, Model Optimization, Applied Machine Learning, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics)
Skills you'll gain: Operations Research, Strategic Decision-Making, Decision Intelligence, Generative AI, Business Analytics, Advanced Analytics, Analytics, Process Optimization, Applied Machine Learning, Predictive Analytics, Artificial Intelligence, Decision Making, Performance Analysis, Model Evaluation
In summary, here are 10 of our most popular regularization techniques courses
- Foundations of Neural Networks:Â Johns Hopkins University
- Mathematical Foundations for Data Science and Analytics:Â University of Pittsburgh
- Neuroscience and Neuroimaging:Â Johns Hopkins University
- Advanced Statistical Techniques for Data Science:Â Illinois Tech
- Introduction to Data Science Techniques:Â Illinois Tech
- Advanced Machine Learning Techniques:Â Coursera
- AI Optimization & Experimental Methods:Â Coursera
- Advanced Data Science Techniques (with AWS Integration):Â Coursera
- Foundations of Machine Learning:Â Coursera
- Advanced Deep Learning Techniques for Computer Vision:Â MathWorks
