When does class start/end?
Class hours may vary, please reach out to contact@ascendientlearning.com if you have any questions.
Advanced Machine Learning Using SAS(R) Viya(R)
This course teaches you how to optimize the performance of predictive models beyond the basics by implementing various data munging and wrangling techniques. The course continues the development of...
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$3,000 USD
Course Code
ADML35
Available Formats
Classroom
Overview
This course teaches you how to optimize the performance of predictive models beyond the basics by implementing various data munging and wrangling techniques. The course continues the development of supervised learning models that begins in the Machine Learning Using SAS® Viya® course and extends it to ensemble modeling. Running unsupervised learning and semi-supervised learning models are also discussed. In this course, you learn how to do feature engineering and clustering of variables, and how to preprocess nominal variables and detect anomalies. This course uses Model Studio, the pipeline flow interface in SAS Viya that enables you to prepare, develop, compare, and deploy advanced analytics models. Importing and running external models in Model Studio is also discussed, including open source models. SAS Viya automation capabilities at each level of machine learning are also demonstrated, followed by some tips and tricks with Model Studio.
The self-study e-learning includes:
- Annotatable course notes in PDF format.
- Virtual lab time to practice.
Skills Gained
- Develop a series of supervised learning models based on different techniques such as logistic regression, decision tree, neural network, and support vector machine.
- Evaluate classifier performance of your model.
- Create an ensemble model based on different techniques.
- Preprocess and engineer features from categorical and continuous data to improve the performance of your machine learning models.
- Extract features using principal component analysis, singular value decomposition, robust principal component analysis, autoencoders, and variable clustering.
- Discover the basic concepts of cluster analysis, and then study a set of typical clustering methodologies, algorithms, and applications.
- Use statistics and machine learning to detect anomalies in your data.
- Implement a semi-supervised learning model.
- Import and run SAS 9 models in Model Studio.
- Run open-source models in Model Studio.
- Automate different stages of machine learning in SAS Viya.
- Generate automated pipelines using REST API.
Who Can Benefit
- Advanced machine learning modelers who use Model Studio
Prerequisites
- Before attending this course, it is recommended that you have done the following:
- Completed the Machine Learning Using SAS® Viya® course.
- Obtained some experience with creating and managing SAS data sets, which you can gain from the SAS® Programming 1: Essentials course.
- Acquired some experience building statistical models using SAS Visual Data Mining and Machine Learning software.
Course Details
Machine Learning Fundamentals
- Model Studio review.
- Classifier performance.
- Ensemble learning.
Feature Engineering
- Introduction to feature engineering.
- Principal component analysis.
- Singular value decomposition.
- Robust principal component analysis.
- Autoencoders.
- Transforming categorical variables.
Clustering of Variables and Observations
- Variable clustering.
- Cluster analysis.
Anomaly Detection
- Introduction to anomaly detection.
- Support vector data description.
- Semi-supervised learning.
External Models in Model Studio
- Importing SAS Enterprise Miner models.
- Running SAS/STAT or SAS Enterprise Miner models.
- Running open-source models.
Machine Learning Automation
- Automation in SAS Viya.
- Data preprocessing and feature engineering.
- Modeling.
- Automated pipeline creation.
- Pipeline automation using REST API (self-study).
Tips and Tricks with Model Studio
- Managing metadata.
- Working with analysis elements.
- Using the SAS Code node.
- Interpreting models with extracted features.
- Scoring unsupervised learning models.
Schedule
FAQ
Does the course schedule include a Lunchbreak?
Classes typically include a 1-hour lunch break around midday. However, the exact break times and duration can vary depending on the specific class. Your instructor will provide detailed information at the start of the course.
What languages are used to deliver training?
Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.
What does GTR stand for?
GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.
How do I find an Ascendient Learning training location?
We have training locations across the United States and Canada - View a complete list of classroom training locations.
Which delivery formats are available?
At Ascendient Learning, we offer training that is Instructor-Led, Online, Virtual, and Self-Paced.
Does Ascendient Learning deliver group training?
Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.
What does vendor-authorized training mean?
As a vendor-authorized training partner, we offer a curriculum that our partners have vetted. We use the same course materials and facilitate the same labs as our vendor-delivered training. These courses are considered the gold standard and, as such, are priced accordingly.
Is the training too basic, or will you go deep into technology?
It depends on your requirements, your role in your company, and your depth of knowledge. The good news about many of our learning paths, you can start from the fundamentals to highly specialized training.
How up-to-date are your courses and support materials?
We continuously work with our vendors to evaluate and refresh course material to reflect the latest training courses and best practices.
Are your instructors seasoned trainers who have deep knowledge of the training topic?
Ascendient Learning instructors have an average of 27 years of practical IT experience and have also served as consultants for an average of 15 years. To stay current, instructors spend at least 25 percent of their time learning new, emerging technologies and courses.
Do you provide hands-on training and exercises in an actual lab environment?
Lab access is dependent on the vendor and the type of training you sign up for. However, many of our top vendors will provide lab access to students to test and practice. The course description will specify lab access.
Will you customize the training for our company’s specific needs and goals?
We will work with you to identify training needs and areas of growth. We offer a variety of training methods, such as private group training, on-site of your choice, and virtually. We provide courses and certifications that are aligned with your business goals.
How do I get started with certification?
Getting started on a certification pathway depends on your goals and the vendor you choose to get certified in. Many vendors offer entry-level IT certification to advanced IT certification that can boost your career. To get access to certification vouchers and discounts, please contact info@ascendientlearning.com.
Will I get access to content after I complete a course?
You will get access to the PDF of course books and guides, but access to the recording and slides will depend on the vendor and type of training you receive.
How do I request a W9 for Ascendient Learning?
View our filing status and how to request a W9.
Reviews
Very good couse and again we would like to see more videos on removing FRUs
Provided good amount of material and a great instructor to teach the material.
it was good and very informative. Instructure covered everything in detail.
Good training material and good instruction. More time needs to be provided for the lab work.
The class was very vast paced however the teacher was very good at checking in on us while giving us time to complete the labs.
