Faster coding of machine learning algorithms
Reduces the learning curve and expedites model development with automatic code generation and reusable code snippets.
Combining data preparation, feature engineering, modern statistical and machine learning techniques in a single, scalable, in-memory processing environment for developing, testing and deploying models.
Hyperparameter autotuning
Enables faster, better model results with best-in-class hyperparameter autotuning.
More efficient programming
Boosts programming efficiency with autocomplete capabilities, syntax help, color coding, keyword shortcuts and more.
Advanced data transformation
Provides robust coding language for data transformation and manipulation.
Collaboration across languages
Lets you code in your preferred programming language – SAS or Python.
Analytics life cycle navigation
Provides a single interface that facilitates fast, efficient movement from data preparation, to exploration, to model development.
Easy, cloud-based access to data science applications
Provides instant access to powerful data science applications via SAS Analytics Cloud. We take care of the infrastructure, setup and maintenance so you can focus on using the applications.
What is SAS® Analytics Cloud?
SAS Machine Learning is the first offering available on SAS Analytics Cloud – a powerful new way to get world-class software as a service (SaaS) from SAS. Running on the SAS Cloud and using the latest container technology, Analytics Cloud eliminates the need to install, update or maintain software or related infrastructure. Look for more offerings on Analytics Cloud in the future.
Sign up, sign in and get to work.
Quickly identify patterns, trends and relationships in structured and unstructured data.
With no software to install and simplified, user-based licensing, SAS Machine Learning on Analytics Cloud gives you fast, easy access to a broad set of modern statistical, machine learning, deep learning and text analytics algorithms. This includes neural networks, clustering, different flavors of regression, forest, gradient boosting models, support vector machines, language processing, topic detection and others. Having access to these leading-edge algorithms drives innovation and enables you to uncover new patterns, trends and relationships between data attributes in structured and unstructured data.
Spend less time number crunching, more time generating meaningful insights.
Use autotuning capabilities to automatically find the best set of machine learning hyperparameters or properties based on your modeling objective. And take advantage of built-in optimization solvers to build optimal models in the shortest amount of time. The automated capabilities of SAS Machine Learning on Analytics Cloud empower you to spend more time gleaning meaningful insights from your data by letting SAS crunch the numbers for you.
Take advantage of a powerful, collaborative coding environment for both SAS® and Python programmers.
In addition to using the SAS language, you can access SAS algorithms from Jupyter using open Python. SAS Machine Learning on SAS Analytics Cloud provides a unified experience for generating models, assessing output and gaining insights. You can access the same machine learning algorithms and data that are available via SAS programming in SAS® Studio.
Try it. Love it? Buy it.
Try SAS Machine Learning on Analytics Cloud for free, and see firsthand how easy it is to get programmatic access to some of the most powerful data science applications available featuring world-class SAS Analytics. And if you like SAS Machine Learning, Analytics Cloud offers simplified licensing with a trial-to-buy path that features user-based pricing, self-administration, and the ability to share projects and data with other team members.
Explore More on SAS® Machine Learning on Analytics Cloud & Beyond
To browse resources by type, select an option below.
-
- Select Resource Type
- Analyst Report
- Article
- Blog Post
- Book Excerpt
- Case Study
- E-Book
- Executive Brief
- Fact Sheet
- Industry Overview
- Infographic
- Interview
- Overview Brochure
- Product Brief
- Research
- Series
- Solution Brief
- Technical Paper
- Video
- Webinar
- White Paper
- White Paper - Partner
-
White Paper
Artificial Intelligence for ExecutivesThis paper outlines the SAS approach to AI and explains key concepts. It also provides process and implementation tips if you are considering adding AI technologies to your business and analytical strategies.
-
White Paper
Delivering SAS® Expertise to Your DoorSAS Remote Managed Software and Services fulfills customers’ application management needs when they require or prefer that the solution and data remain on-site.
-
White Paper
BI, Analytics, and the Cloud: Strategies for Business AgilityThis TDWI Research report examines organizations’ experiences with, and plans for, cloud BI and analytics, new cloud models, and what should be considered when moving to the cloud.
-
Article
Analytics can help prevent substance use disorder and over-prescribingStates and MFCUs now have the analytics tools they need to change the trajectory of the opioid crisis by analyzing data and predicting trouble spots – whether in patients, prescribers, distributors or manufacturers. The OIG Toolkit with free SAS® programming code makes that possible.
-
Article
Detect and prevent banking application fraudSince credit fraud often starts with a falsified application, it makes sense to have analytics-driven tools in place to detect fraud from the earliest point and across the life of the account.
-
White Paper
How to Do Deep Learning With SAS® Get an introduction to deep learning techniques and applications, and learn how SAS supports the creation of deep neural network models.
-
White Paper
Advanced Analytics: Moving Toward AI, Machine Learning, and Natural Language ProcessingThe global excitement around the latest advancements in artificial intelligence (AI), machine learning (ML) and natural language processing (NLP) technologies has increased with the evolution of computing power.
-
Article
Shut the front door on insurance application fraud!Fraudsters love the ease of plying their trade over digital channels. Smart insurance companies are using data from those channels (device fingerprint, IP address, geolocation, etc.) coupled with analytics and machine learning to detect insurance application fraud perpetrated by agents, customers and fraud rings.
-
Article
Machine learning and artificial intelligence in a brave new worldWhat is the interplay between man and machine in a brave new world with AI?
-
White Paper
Machine Learning With SAS® Enterprise Miner™Learn how SAS modelers prepared data and applied different machine learning techniques to create and identify the most accurate model for predicting churn using KDD Cup data.
-
E-Book
The Machine Learning Primer This e-book provides a primer on machine learning, deep learning, natural language processing and cognitive computing, as well as 10 best practices and a checklist for machine learning readiness.
-
White Paper
The Evolution of AnalyticsLearn about modern applications for machine learning, including recommendation systems, streaming analytics, deep learning and cognitive computing. And learn from the experiences of two companies that have successfully navigated organizational and technological challenges to adopt machine learning and embark on their own analytics evolution.
-
White Paper
The Machine Learning LandscapeThis paper, for novice and intermediate data scientists, talks about the four widely recognized machine learning styles and their common uses, data and modeling methodologies, and popular algorithms for solving machine learning problems.
-
White Paper
Migrating Analytics to the Cloud: It’s About TimeIn this paper, SAS and the International Institute for Analytics (IIA) explore how to maximize the performance and value of analytics in the cloud, weigh the options, and choose the right approach to migration.
-
White Paper
Machine learning and artificial intelligence in a brave new worldMachine learning in the last few decades has given way to an AI revolution. From self-driving cars to virtual assistants, learn more about the endless possibilities for these developing technologies.
-
White Paper
SAS® Data Center OverviewSAS provides a hosting model with the flexibility to meet your business needs. By using SAS data center spaces and making full use of our relationships with third-party hosting providers, we are able to provide global hosting.
-
White Paper
Security in the SAS CloudSecurity-conscious organizations have been trusting SAS with their valuable data for many years. Security and data privacy have changed significantly over that time, and they are more important now than ever.
-
Article
A guide to machine learning algorithms and their applicationsDo you know the difference between supervised and unsupervised learning? How about the difference between decision trees and forests? Or when to use a support vector algorithm? Get all the answers here.
-
White Paper
Quality in SAS Global Hosting and US Professional Services Providing quality analytic cloud solutions by integrating high-value analytics, optimized infrastructure, and the right expert at the right time.
-
Article
4 strategies that will change your approach to fraud detectionTechnology advances are giving financial institutions a better arsenal than ever for fraud detection. Take a look at four ways to turbocharge your defenses.
-
White Paper
Hosted Managed Services for SAS® TechnologySAS provides hosted managed services designed to provide faster and easier deployment options for SAS technologies. This white paper reviews the fundamentals of this capability.
-
White Paper
Machine Learning Use Cases in Financial CrimesLearn 10 proven ways machine learning can boost the efficiency and effectiveness of fraud and financial crimes teams – from data collection to detection to investigation and reporting.
-
White Paper
TDWI Navigator Report: Predictive AnalyticsThis TDWI Navigator Report for Predictive Analytics shares some key differentiators for SAS, including the breadth and depth of functionality when it comes to advanced analytics that supports executives, IT, data scientists and developers.
-
Article
Machine learning, Michael J. Fox and finding a cure for Parkinson’sUsing machine learning, data scientists developed a model that can help doctors accurately predict Parkinson's disease progression and start treatment earlier, when it will have greater impact.
