The rise of social learning has created a new landscape for L&D professionals to explore. This webinar will examine the foundations of Social Learning and discuss how our learners are able to adapt and thrive in this space - mastering the technology and understanding the facets of Social Leadership and ways we engage as part of online communities.Read more >
The human brain makes it look easy. What our eyes see, we decode immediately and effortlessly. But is it that simple? In truth, how we process images is staggeringly complex. Inspired in part by our remarkable neurons, deep learning is a fast-growing area in machine learning research that shows promising breakthroughs in speech, text and image recognition. It’s based on endowing a neural network with many hidden layers, enabling a computer to learn tasks, organize information and find patterns on its own.
Recently, SAS took on a classical problem in machine learning research, the MNIST database, a data set containing thousands of handwritten digit images. Learn how we did – and what it reveals about the future of deep learning.
One of the main benefits of Machine Learning is being able to analyse a large amount of data at the speed and efficiency that would require a huge team of humans. This is something that has proven to be very necessary in the Financial Services industry, where insurance companies, banks, and lenders need actionable insights quickly.
Join this panel where we will discuss:
-Why is Machine Learning such a hot topic? What are the benefits/challenges?
-What is needed to do Machine Learning right?
-Case studies of how Machine Learning is helping financial institutions — better customer experience, faster actionable insights
-How ML is able to spot trends and patterns to mitigate risk
Artificial Neural Networks (ANN) and Deep Learning have taken the data science scene by a storm. However most of the current results and demonstrators are centered around image, text, voice processing. However this techniques are extremely powerful and generic machine learning algorithms which can be applied as well in more traditional domains such as cyber security, and personalized marketing. In this webcast, I will introduce and de-hype deep learning. Introduce a number of ANN patterns and the problems which can be solved by training those models on the given available data. I will also briefly describe the available libraries and how to speed up the learning process with GPU's and distributed computing.Read more >
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Despite being over 50 years old, machine learning has become a hot topic for how to optimize the customer experience. But what is machine learning and how can organizations of all sizes take advantage of the technology to enhance their interactions throughout the customer lifecycle?
In this webinar, you will learn:
* What machine learning represents and how it compares to other approaches
* How machine learning works to predict outcomes
* What situations machine learning is best suited for
* How you can get ready to put machine learning to use
This session will explore how Microsoft’s finance team partners with our Decision Science Group and IT to explore new ways of leveraging data to improve business performance. The speakers will share their experiences and show you how Microsoft is using Machine Learning, Power BI and other tools to capitalize on this opportunity. They will also give recommendations on how companies in different stages of transformation with regard to Data Analytics can take the next step or even leap.Read more >