Search result for Model training and evaluation Online Courses & Certifications
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Train the Trainer: Training Evaluation Certificate
by Andrew Cumiskey- 0.0
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Analyse if training programmes and initiatives are effective for an organisation with this educational training evaluation course. Principles of learningLearning models and learning stylesThe teaching/training cyclePrinciples of assessmentReturn on investment (ROI) and return on expectation (ROE)Monitoring your department performance (KPI’s)...
$44
Applied Data Science for Data Analysts
by Kevin Coyle , Mark Roepke , Emma Freeman- 4.2
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Approx. 16 hours to complete
You'll work through the data science process to and use unsupervised learning to explore data, engineer and select meaningful features, and solve complex supervised learning problems using tree-based models. You will also learn to apply hyperparameter tuning and cross-validation strategies to improve model performance. Model Generalization and Validation Set Apply hyperparameter tuning and cross-validation strategies to improve model performance....
Continuous Evaluation Cult(ure) Model - makes OKR obsolete
by Petr Kulhanek- 2.9
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1.5 hours on-demand video
CEC Model represents Engagement & Transparency Wall of all important outcomes for the company’s business. I will explain to you the most simplest way how to understand outcomes and work with them. Step by Step you will understand and learn all components of CEC Model and why it matters. And I will share with you why CEC Model makes OKR framework obsolete....
$11.99
Learn Machine Learning with Weka
by SVBook Pte. Ltd.- 3
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1.5 hours on-demand video
Learn Machine Learning and Weka with this COurse This is the bite size course to learn Weka and Machine Learning. You will learn Machine Learning which is the Model and Evaluation of CRISP Data Mining Process. Model Evaluation Weka Model Selection and Deployment...
$9.99
Fundamentals of Machine Learning for Healthcare
by Matthew LungrenTop Instructor , Serena YeungTop Instructor- 4.8
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Approx. 12 hours to complete
Machine learning and artificial intelligence hold the potential to transform healthcare and open up a world of incredible promise. Evaluation and Metrics for machine learning in healthcare Introduction to Model Performance Evaluation Statistical Approaches to Model Evaluation Receiver Operator and Precision Recall Curves as Evaluation Metrics Define important relationships between the fields of machine learning, biostatistics, and traditional computer programming....
Data Science Fundamentals for Data Analysts
by Emma Freeman , Mark Roepke- 0.0
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Approx. 19 hours to complete
Module and Lesson Introduction Module and Lesson Intro Statistics and Probability Review The Bias-Variance Tradeoff and Model Generalization Regression Evaluation Classification Evaluation Measuring Success and Constraints Apply foundational data science concepts and techniques to solve these real-world problems. Design, execute, assess, and communicate the results of your very own data science projects....
Introduction to Machine Learning in Production
by Andrew NgTop Instructor , Cristian Bartolomé ArámburuTop Instructor- 4.8
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Approx. 10 hours to complete
Understanding machine learning and deep learning concepts is essential, but if you’re looking to build an effective AI career, you need production engineering capabilities as well. Week 2: Selecting and Training a Model Ungraded Lab - Deploying a Deep Learning model Week 2: Select and Train a Model Selecting and Training a Model...
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Machine Learning Data Lifecycle in Production
by Robert Crowe- 4.5
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Approx. 20 hours to complete
Understanding machine learning and deep learning concepts is essential, but if you’re looking to build an effective AI career, you need production engineering capabilities as well. Case Study: Degraded Model Performance Data and Concept Change in Production ML Process Feedback and Human Labeling Issues in Training Data Week 2: Feature Engineering, Transformation and Selection...
Predictive Modeling and Transforming Clinical Practice
by Laura K. Wiley, PhD- 0.0
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Approx. 11 hours to complete
This course examines specific challenges and methods of clinical implementation, that clinical data scientists must be aware of when developing their predictive models. Accessing Course Data and Technology Platform Tools: Ensuring Model Usability Techniques: Model Implementation and Sustainability Introduction to Clinical Prediction Model Implementation and Sustainability Techniques: Data Selection, Model Building, and Evaluation...
Bayesian Methods for Machine Learning
by Daniil Polykovskiy , Alexander Novikov- 4.5
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Approx. 33 hours to complete
When applied to deep learning, Bayesian methods allow you to compress your models a hundred folds, and automatically tune hyperparameters, saving your time and money. How to define a model Gaussian Mixture Model Training GMM Example of GMM training Latent Variable Models and EM algorithm Example: Ising model Gaussian Processes and Bayesian Optimization...
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