Wondering what Artificial Intelligence, or AI, is all about? Where does data science leave off? And where and how does machine learning apply?
AI will likely define the next generation of software. Given all the talk and confusing terminology out there, we’ve got the perfect overview course for those of you who are just getting started. See what’s really going on with AI and explore the concepts and technologies behind it. Join expert Graeme Malcolm, and spend 3-4 hours each week over four weeks to start using AI to build your own intelligent apps.
There are no programming prerequisites for this course, but Python experience might help, as would an understanding of variables, loops, branching, and other software basics.
Discover how machine learning can be used to build predictive models for AI. Learn how software can be used to process, analyze, and extract meaning from natural language and to process images and video to understand the world the way we do. Find out how to build intelligent bots that enable conversational communication between humans and AI systems.
This course will help you learn how to:
Build simple machine learning models with Azure Machine Learning.
Use Python and Microsoft
Source: https://blogs.microsoft.com/iot/2017/09/11/bringing-internet-things-life-world-congress-2017/ The decreasing cost of IoT sensors. The increase in mobile devices. The scale of cloud-based platforms. Advances in traditional analytics as well as machine learning and artificial intelligence. These are the trends that will enable almost READ MORE
Source: https://powerbi.microsoft.com/en-us/blog/power-bi-service-and-mobile-august-2017-feature-summary/ It’s time again to recap the features and announcements in the Power BI service and mobile over the past month, including per-user usage metrics, Power BI apps for online services, iOS proxy settings READ MORE
Source: https://powerbi.microsoft.com/en-us/blog/power-bi-desktop-september-2017-feature-summary/ This is a very exciting release for Power BI Desktop! We are releasing two features that we demoed at the Data Insights Summit: drillthrough and report insights. We also have an update to READ MORE
A selective peek at new customers benefiting from Microsoft AI & Machine Learning.
Ruppiner Kliniken Creates a Digital Companion That Can Save Lives
17 million people die of cardiovascular disease each year. Many of these victims could survive if their physicians became aware of critical changes occurring in their vascular system and heart in a timely manner. Unfortunately, in many such cases, there are no external symptoms to report. In other cases, patients fail to report symptoms to their physician until it’s too late.
The cardiology department at Ruppiner Kliniken, a leading hospital in Germany, was motivated to save the lives of as many such patients as they could. They realized that they needed a way to collect patients’ data health in an unobtrusive way, without interrupting their daily lives. When fitness bands hit the mainstream market a few years ago, they realized their potential in improving patient care. By enhancing the fitness band with new types of tiny wireless sensors that collect ECG, blood pressure, and a variety of other medical readings, it would be possible to collected a patient’s data over weeks, months, or even longer, and consolidate and analyze such data to get a much more accurate
Join us for a free Microsoft webinar on Interactive Price Analytics and learn more about this fascinating topic. At the end of it, you will be able to use our new solution right out-of-the-box, or work with a Microsoft solution partner to you customize the solution further, to meet your business specific needs.
The webinar runs from 10-11 AM Pacific next Tuesday, September 12th, and will be presented by Tomas Singliar, Senior Data Scientist at Microsoft.
Every business needs data-driven insights around product pricing. However, getting to the bottom of the true effects of pricing can be quite tricky. For instance, how much more of that turkey did you end up selling because it was steeply discounted versus how much of it was because it was right before Thanksgiving?
First off, you need a team of data scientists. They will tell you to run many experiments, but you’d need engineers to build a system for that. There are also many constraints. For instance, in the world of physical retail, you can often only change prices on a limited number of products at a time, and that too, perhaps only a few times each month, as new price stickers need to
Source: https://blogs.microsoft.com/iot/2017/09/06/azure-iot-hub-device-provisioning-service-is-now-in-public-preview/ Setting up and managing Internet of Things (IoT) devices can be a challenge of the first order for many businesses. That’s because provisioning entails a lot of manual work, technical know-how, and staff resources. And certain READ MORE
This post is authored by Wee Hyong Tok, Principal Data Science Manager at Microsoft.
Deep Learning has fueled the emergence of many practical applications and experiences. It has played a central role in making many recent breakthroughs possible, ranging from speech recognition that’s reached human parity in word recognition during conversations, to neural networks that are accelerating the creation of highly precise land cover datasets, to predicting vision impairment, regression rates and eye diseases, among others.
The Microsoft Cognitive Toolkit (CNTK) is the behind-the-scenes magic that makes it possible to train deep neural networks that address a very diverse set of needs, such as in the scenarios above. CNTK lets anyone develop and train their deep learning model at massive scale. Successful deep learning projects also require a few critical infrastructure ingredients – specifically, an infrastructure that:
Enables teams to perform rapid experimentation.
Scales, based on the demands of training.
Handles the increasing load needed to serve a trained model.
Meanwhile, container technologies have been maturing, with more enterprises using containers in their IT environments. Containers are allowing organizations to simplify the development and deployment of applications in various environments (e.g. on-premises, public cloud, hybrid cloud, etc.). Various container orchestration
“Data is currency” is the rule of thumb in business. As with money, business data must be accessible, accurate, and usable across disparate contexts if an organization is to realize greater ROI while keeping costs under control. CIOs understand that the need to manage data—its location, composition, and utility—is as important as managing a balance sheet. For many companies, the solution is SQL Server, the industry gold standard for database management.
But what about the many tech startups and cloud enterprises running open-source platforms? These organizations face challenges with reliably integrating, categorizing, and accessing all types of business data in an often-heterogeneous world of platforms, apps, and devices.
The good news is SQL Server 2017 runs on Linux. Two Linux-based organizations, Convergent Computing and dv01, migrated to SQL Server 2017 for the capabilities and tools to manage and optimize their data “currency.” They share their stories in the new e-book, SQL Server 2017 on Linux: Top Six Reasons Companies Make the Move.
In the e-book, leadership at Convergent and dv01 cover the benefits they gained with SQL on Linux, including:
Flexibility. Use familiar languages on the platform and cloud of your choice. Performance. Take advantage of faster queries with simultaneous
We have created a special two-day Data Science, Machine Learning, and AI Pass for Microsoft Ignite in Orlando, on September 25th and 26th, just for you! In addition to full access to all the sessions pertaining to these domains – such as the latest ML and deep learning techniques, open source tools, cognitive services APIs, automation of large scale production systems and much more – the $795 Pass gives you access to all Ignite keynotes and the Expo Hall.
The keynotes will give you a peek into the future of machine learning and AI, as well as some of the most newsworthy content at Microsoft Ignite. The Expo Hall will let you discover interesting applications at your own pace, and help you build connections with Microsoft partners from all over the world. Our sessions cover a whole gamut of topics, including:
Using R and Python to build machine learning applications.
Scaling machine learning algorithms.
A deep dive into Microsoft Cognitive Toolkit.
Integrating gestures into your UX.
Analyzing customer feedback with advanced machine learning.
Using the Microsoft Bot Framework and our latest SDK to build intelligent customized bots.
Integrating the Cortana agent into your apps.
Using the Microsoft Team Data Science