Информационный портал Data Science

Видео, статьи и другие учебные материалы дополнительно к SAS^® Academy for Data Science.

- Выберите
- Tutorials
- Вебинар

SAS Tutorial Executing Open Source Code in Machine Learning PipelinesLearn how to execute open source code in SAS Visual Data Mining & Machine Learning pipelines.
SAS Tutorial Machine Learning: A Coding Example in SASChrista Cody shows how to create machine learning models using SAS Viya in this tutorial.
SAS Tutorial Three Secrets for Boosting Machine Learning ModelsLearn tips for feature engineering, innovative sources of data and profit-driven machine learning models.
SAS Tutorial Interpreting Machine Learning Models in SASSAS expert Ari Zitin shows you how to interpret machine learning models in SAS.
SAS Tutorial Machine Learning FundamentalsAri Zitin explores decision tree and neural network models, then shows examples of machine learning tasks.
SAS Tutorial Online SAS Training Course ResourcesAnna Rakers introduces you to SAS training course resources to help you learn SAS and achieve your goals.
SAS Tutorial How to get certified in AI and Machine Learning with SASCat Truxillo explains how to get certified in AI and Machine Learning with SAS.
SAS Tutorial Python Integration with SAS ViyaAri Zitin explains Python integration with SAS, including SAS Viya Cloud Analytic Services.

Серии подкастов Data Science

Наш партнер Data Science Central

ML Decisioning, Deployment and Governance at Scale

In this podcast, see how models can be managed and integrated into a decisioning process, as well as deployed and exposed externally using a custom web application.

Do We Need Data Scientists in Today’s World of Automation?

Learn what machine learning automation entails – and why data scientists still have a critical role to play.

AI: Taxonomy & Beyond

Learn about some of the most important concepts and areas of AI, including machine learning, text analytics and computer vision.

Machine Learning: Intro to Transfer Learning

Transfer learning is a relatively new – and promising – area of machine learning. It applies information extracted from one set of distributions (usually referred to as the source) to another set of distributions (often called the target).

AI and Deep Learning Part 1

Learn about AI, the capabilities that SAS brings to the table and how data scientists can apply deep learning to their data.

AI and Deep Learning Part 2

Discover how the SAS Platform enables the development of AI applications and how SAS customers are using this exciting technology today.

Black Box Perception

Learn how to build more transparency into the analytical process and use black box solutions to solve complex issues.

Deployment at Scale

Learn how to deploy, support and scale an IT-enabled, people-driven modern analytics solution by integrating analytical methods into the fabric of your business.

Balancing AI Endeavors With Analytic Talent

Learn how to minimize the costs of acquiring the right analytical talent and maximize your chance of AI success.

AI: Extracting the Hidden Value in Unstructured Data

Get a better understanding of natural language processing as well as SAS’ hybrid approach to the technology. Use cases will be included.

Machine Learning on the Edge

Learn how to develop machine learning models from an analytics base table and move that model to the edge for the purposes of scoring – or even training.

Automate and Scale Your Decision Making With Analytics

Learn how to quickly move models from the experimental phase to the front line. We’ll show how you can rapidly and automatically define the best action to take, and scale that insight across thousands of daily decisions.

Tips on How to Avoid Biased Models

Learn about different categories of data bias and the steps and strategies you can take to avoid biased results and decisions.

Trends in Social Network Analysis

Learn how social network analysis can provide you with a clear understanding of consumers’ relationships and behaviors.