Search result for Model training and evaluation Online Courses & Certifications
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TensorFlow - Hands-on Machine Learning with TensorFlow
by The Click Reader- 4.1
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1 hour on-demand video
Linear Regression using a Sequential Model You will be preparing the data, building the model architecture, training the model, viewing the change in the loss as well as build a multi-input regressor. You will be preparing the data, building the model architecture, training the model as well as build a deep neural network classifier....
$12.99
Foundational Skills for Communicating About Health
by Brian Zikmund-Fisher- 4.7
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Approx. 14 hours to complete
Effective communication is a core skill that nearly every health professional will need and use during their careers. Yet, few health professionals receive even basic training in how to design communications to be clear and successful. Audience and Goals Faculty Introduction and Acknowledgements Tools and Sites for Plain Language Rubric Training Video Presentation Evaluation...
Build Decision Trees, SVMs, and Artificial Neural Networks
by Stacey McBrine- 0.0
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Approx. 22 hours to complete
Decision trees and support-vector machines (SVMs) are two examples of algorithms that can both solve regression and classification problems, but which have different applications. Build Decision Trees and Random Forests Module Introduction Classification and Regression Tree (CART) Guidelines for Building a Decision Tree Model Guidelines for Building a Random Forest Model...
Data, Analytics and Learning
by George Siemens , Carolyn Rosé , Dragan Gašević , Ryan Baker- 0.0
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4 Weeks
In particular, learning analytics enables universities, schools, and corporate training departments to improve the quality of learning and overall competitiveness. Additional software will be introduced and discussed throughout the course. Training and evaluating classifiers that use clickstream data, with a focus on how to engineer features and training labels Evaluation issues, key diagnostic metrics and their uses, and validity issues...
Analysis and Evaluation of Economic Feasibility of Projects
by Mohammad Sartawi- 2.6
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1 hour on-demand video
Analysis and Evaluation of Economic Feasibility of Projects This training course takes students through the cycle of project feasibility study preparation and evaluation. Through feasibility study preparation cycle, projects can be determined if feasible/viable from the marketing and technical viewpoints. Given their estimated capital and operation costs (CAPEX & OPEX), projects can also be determined whether profitable or not....
$12.99
Designing and Running Randomized Evaluations
by Esther Duflo , Rachel Glennerster- 0.0
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12 Weeks
A randomized evaluation, also known as a field experiment or randomized controlled trial (RCT), is an impact evaluation that uses random assignment to minimize bias, and strengthen our ability to draw causal inferences. This course will provide step-by-step training on how to design and conduct an RCT. Designing a Randomized Evaluation...
Random Forest Algorithm in Machine Learning
by Data Training Campus- 2.1
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1.5 hours on-demand video
Such algorithms operate by building a model from example inputs and using that to make predictions or decisions, rather than following strictly static program instructions. Through this training we are going to learn and apply how the random forest algorithm works and several other important things about it. 3) Bifurcate Data into Training and Testing Data set....
$11.99
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Pattern Discovery in Data Mining
by Jiawei Han- 4.3
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Approx. 17 hours to complete
Learn the general concepts of data mining along with basic methodologies and applications. This course provides you the opportunity to learn skills and content to practice and engage in scalable pattern discovery methods on massive transactional data, discuss pattern evaluation measures, and study methods for mining diverse kinds of patterns, sequential patterns, and sub-graph patterns....
I/O-efficient algorithms
by Mark de Berg- 4.6
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Approx. 10 hours to complete
These data fetches are also called I/O operations and need to be taken into account during the design of an algorithm. - Graph terminology, representations of graphs (adjacency lists and adjacency matrix), basic graph algorithms (BFS, DFS, topological sort, shortest paths) 1 and 1. Designing cache-aware and cache-oblivious algorithms Designing cache-aware and cache-oblivious algorithms...
AWS Computer Vision: Getting Started with GluonCV
by Thom LaneTop Instructor , Thomas DelteilTop Instructor , Soji AdeshinaTop Instructor- 4.6
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Approx. 31 hours to complete
This course provides an overview of Computer Vision (CV), Machine Learning (ML) with Amazon Web Services (AWS), and how to build and train a CV model using the Apache MXNet and GluonCV toolkit. Week three will focus on setting up GluonCV and MXNet. We will look at using pre-trained models for classification, detection and segmentation....
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