Results for "statistical+testing+for+neural+data"
Status: NewStatus: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Key Performance Indicators (KPIs), Business Metrics, Performance Analysis, Performance Measurement, Responsible AI, Test Execution Engine, Performance Metric, Test Automation, Feature Engineering, Verification And Validation, Content Performance Analysis, Machine Learning, Data Ethics, Quality Assessment, Gap Analysis, Cost Benefit Analysis, Research Design, Quantitative Research
Status: NewStatus: Free TrialSkills you'll gain: Applied Machine Learning, Analysis, Performance Analysis
Status: NewStatus: Free TrialCoursera
Skills you'll gain: Unit Testing, Test Driven Development (TDD), CI/CD, Software Testing, Model Deployment, Testability, MLOps (Machine Learning Operations), Tensorflow, Maintainability, Software Engineering, Machine Learning Methods, Python Programming
Status: NewStatus: Free TrialSkills you'll gain: Minitab, Process Capability, Statistical Process Controls, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Business Analytics, Sampling (Statistics), Probability & Statistics, Probability Distribution, Data-Driven Decision-Making, Statistical Methods, Data Analysis, Performance Analysis, Predictive Analytics, Statistical Inference, Case Studies, Statistical Visualization, Quality Control, Statistical Modeling
Status: NewStatus: Free TrialSkills you'll gain: Model Deployment, Benchmarking, Process Optimization, Cloud Deployment, Model Evaluation, Network Performance Management, Convolutional Neural Networks, Keras (Neural Network Library), Network Model, Project Performance
Status: NewStatus: Free TrialSkills you'll gain: Business Analytics, Data-Driven Decision-Making
What brings you to Coursera today?
Status: Free TrialJohns Hopkins University
Skills you'll gain: Responsible AI, Autoencoders, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Debugging, Artificial Intelligence, Image Analysis, Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Computer Vision
Status: Free TrialSkills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Logistic Regression, Tensorflow, Artificial Neural Networks, Probability & Statistics, Regression Analysis, Model Evaluation, Data Preprocessing
Status: NewStatus: Free TrialSkills you'll gain: Exploratory Data Analysis, Logistic Regression, Supervised Learning, Applied Machine Learning, Model Evaluation, Data Modeling
Status: Free TrialJohns Hopkins University
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, Probability Distribution, R Programming, Biostatistics, Data Science, Statistics, Mathematical Modeling, Data Analysis, Data Modeling, Applied Mathematics
Status: NewStatus: Free TrialCoursera
Skills you'll gain: AI Security, Test Driven Development (TDD), Vulnerability Assessments, Unit Testing, Code Coverage, Vulnerability Scanning, Continuous Integration, Dependency Analysis, Secure Coding, CI/CD, Software Testing, Test Automation, Integration Testing, Continuous Deployment, Software Versioning, Large Language Modeling
Status: Free TrialSkills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Image Analysis, Applied Machine Learning, Autoencoders, Classification And Regression Tree (CART), Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning, Model Evaluation
In summary, here are 10 of our most popular statistical+testing+for+neural+data courses
- Automate, Analyze, and Evaluate ML Experiments:Â Coursera
- Debug Neural Networks: Analyze Training Dynamics:Â Coursera
- Apply Test-Driven ML Code:Â Coursera
- Minitab Applied Statistics & Hypothesis Testing Mastery:Â EDUCBA
- Optimize AI Inference Speed & Accuracy:Â Coursera
- Apply Hypothesis Testing with Minitab for Data Analysis:Â EDUCBA
- Foundations of Neural Networks:Â Johns Hopkins University
- Introduction to Neural Networks and PyTorch:Â IBM
- Statistics You Need to Know for Machine Learning:Â SAS
- Advanced Statistics for Data Science:Â Johns Hopkins University
