Search result for Model training and evaluation Online Courses & Certifications
Get Course Alerts by Email
Supervised Machine Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.7
Approx. 11 hours to complete
Introduction to Supervised Machine Learning and Linear Regression Training and Test Splits Training and Test Splits Lab - Part 1 Training and Test Splits Lab - Part 2 Training and Test Splits Lab - Part 3 Training and Test Splits Lab - Part 4 Training and Test Splits Demo Regularization and Model Selection...
Essentials in Clinical Simulations Across the Health Professions
by Pamela R. Jeffries , Sabrina Beroz , Pamela Slaven-Lee , Crystel Farina , Karen Lewis , Kristina Thomas Dreifuerst , Suzan Kardong-Edgren- 4.8
Approx. 12 hours to complete
During each module, you will learn about 7 key components of Clinical Simulation Across the Health Professions and its' impact in your current position as a healthcare professional. Concepts and Educational Activities Promoting Simulations and Safe Patient Care Recruiting SPs and Training Them for Role Portrayal Recruiting SPs and Training Them for Role Portrayal...
Data Science Methodology
by Alex Aklson , Polong Lin- 4.6
Approx. 8 hours to complete
- The major steps involved in practicing data science, from forming a concrete business or research problem, to collecting and analyzing data, to building a model, and understanding the feedback after model deployment. From Problem to Approach and From Requirements to Collection From Understanding to Preparation and From Modeling to Evaluation Evaluation From Modeling to Evaluation...
Custom Models, Layers, and Loss Functions with TensorFlow
by Laurence Moroney , Eddy Shyu- 4.9
Approx. 31 hours to complete
• Build custom loss functions (including the contrastive loss function used in a Siamese network) in order to measure how well a model is doing and help your neural network learn from training data. Declaring and stacking layers Creating a Multi-Output model Siamese network: a Multiple-Input model Coding a Wide and Deep model...
Practical Machine Learning
by Jeff Leek, PhD , Roger D. Peng, PhD , Brian Caffo, PhD- 4.5
Approx. 9 hours to complete
The course will provide basic grounding in concepts such as training and tests sets, overfitting, and error rates. The course will also introduce a range of model based and algorithmic machine learning methods including regression, classification trees, Naive Bayes, and random forests. Understand concepts such as training and tests sets, overfitting, and error rates...
Successfully Evaluating Predictive Modelling
by Dr Johannes De Smedt , Obinna Unigwe , Sofia Varypati- 0.0
6 Weeks
Gain an in-depth understanding of evaluation and sampling approaches for effective predictive modelling using Python. A predictive exercise is not finished when a model is built. The ways that different model evaluation criteria illustrate how one model excels over another and how to identify when to use certain criteria Analyse the accuracy and quality of a predictive model...
$300
Machine Learning with Java and Weka
by SVBook Pte. Ltd.- 3.4
2.5 hours on-demand video
Machine Learning and Statistical Learning with Java This is the bite size course to learn Java Programming for Machine Learning and Statistical Learning with Weka library. In CRISP DM data mining process, machine learning is at the modeling and evaluation stage. Split Training and Testing dataset Model Evaluation Model Evaluation in Weka and Java...
$12.99
Related searches
Microsoft Azure Machine Learning
by Microsoft- 4.8
Approx. 11 hours to complete
Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models. Training a machine learning model is an iterative process that requires time and compute resources. Azure Machine Learning to Train and Deploy a Predictive Model Exercise Part 4: Create and Run a Training Pipeline...
Text Retrieval and Search Engines
by ChengXiang Zhai- 4.5
Approx. 31 hours to complete
Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. 5: Vector Space Model - Basic Idea 6: Vector Space Retrieval Model - Simplest Instantiation 1: Vector Space Model - Improved Instantiation...
Artificial Intelligence Algorithms Models and Limitations
by Brent Summers- 4.7
Approx. 8 hours to complete
Example of simple algorithms, and how to sort Your Apps Know Where You Were Last Night, and They’re Not Keeping It Secret AI and Model Outcomes Example Predictive Model motivating’ and fired Rules for AI: training and constraints Modeling structure: accuracy and bias Mirrors: training models with real data Beyond Accuracy: precision and recall...