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, natural 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 Notebook using 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. If you like SAS Machine Learning, Analytics Cloud offers simplified licensing with a try-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
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White Paper
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Analyst Report
Bloor InBrief: SAS Event Stream ProcessingLearn why Bloor considers SAS a major contender in the market for streaming analytics platforms due to SAS’ differentiating analytic capabilities, notable performance and continuous improvement of in-stream models using machine learning.
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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.
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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.
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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.
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White Paper
Refactoring Analytics for the Cloud Fast-track selected analytics into the could by leveraging expertise, using the latest methods, and focusing on the end state. Find ways to create more business value with analytics in the cloud – and ways to get there faster.
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Analyst Report
Hype Cycle for Data Science and Machine Learning, 2018Data and analytics leaders should use this Hype Cycle to understand technologies generating excitement and inflated expectations, as well as significant movements in adoption and maturity.
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Analyst Report
How Data Science Teams Leverage Machine Learning and Other Advanced AnalyticsGartner's 2017 customer reference survey for data science and machine learning platforms reveals how many organizations are undertaking data science initiatives.
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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.
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Analyst Report
SAS is a Leader in the 2019 Gartner Magic Quadrant for Multichannel Marketing HubsSAS is a Leader in the 2019 Gartner Magic Quadrant for Multichannel Marketing Hubs.
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Machine learning and artificial intelligence in a brave new worldWhat is the interplay between man and machine in a brave new world with AI?
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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.
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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.
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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.
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Analytics: A must-have tool for leading the fight on prescription and illicit drug addictionStates 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.
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How to drill a better hole with analyticsFrom drilling holes to preventing health care fraud, learn about some of the new technologies SAS has patented with IoT and machine learning technologies.
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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.
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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.
