Search result for Model interpretability Online Courses & Certifications
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Machine Learning Using SAS Viya
by Jeff Thompson , Catherine Truxillo- 4.7
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Approx. 35 hours to complete
In addition, a business case study is defined to guide participants through all steps of the analytical life cycle, from problem understanding to model deployment, through data preparation, feature selection, model training and validation, and model assessment. Improving the Decision Tree Model Model Interpretability Demo: Adding Model Interpretability Model Interpretability Plots...
Advanced Computer Vision with TensorFlow
by Laurence Moroney , Eddy Shyu- 4.8
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Approx. 24 hours to complete
AI TensorFlow: Advanced Techniques Specialization introduces the features of TensorFlow that provide learners with more control over their model architecture and tools that help them create and train advanced ML models. Getting the Model from TensorFlow Hub Running the Model on an Image Loading a RetinaNet Model Reference: RetinaNet, Model Garden Visualization and Interpretability...
AI Workflow: Machine Learning, Visual Recognition and NLP
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
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Approx. 14 hours to complete
There will be case studies focusing on natural language processing and on image analysis to provide realistic context for the model pipelines. Create a neural net model in Tensorflow Model Evaluation and Performance Metrics Model Performance: Through the Eyes of our Working Example Model Plots, Bias, Variance On interpretability...
Fundamentals of Machine Learning for Healthcare
by Matthew LungrenTop Instructor , Serena YeungTop Instructor- 4.8
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Approx. 12 hours to complete
Introduction to Model Performance Evaluation Statistical Approaches to Model Evaluation Utility of Causative Model Predictions Intrinsic Interpretability...
Supervised Learning: Classification
by Mark J Grover , Miguel Maldonado- 4.9
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Approx. 11 hours to complete
-Use a variety of error metrics to compare and select the classification model that best suits your data...
Supervised Machine Learning: Classification
by Mark J Grover , Miguel Maldonado- 4.9
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Approx. 11 hours to complete
-Use a variety of error metrics to compare and select the classification model that best suits your data...
Machine Learning: Regression
by Emily Fox , Carlos Guestrin- 4.8
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Approx. 22 hours to complete
-Estimate model parameters using optimization algorithms. -Exploit the model to form predictions. -Build a regression model to predict prices using a housing dataset. Regression fundamentals: data & model The simple linear regression model Fitting a simple linear regression model on housing data Fitting a simple linear regression model on housing data Training/validation/test split for model selection, fitting, and assessment...
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Data Science Fundamentals for Data Analysts
by Emma Freeman , Mark Roepke- 0.0
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Approx. 19 hours to complete
Accuracy and Interpretability The Bias-Variance Tradeoff and Model Generalization...
