Saturday, February 20, 2016

Machine Learning News Issue 13

Welcome to the Momenta Learning News on Machine Learning. This is issue 13, please feel free to share this post.

Can Artificial Intelligence Answer Our Email?

Many of us harbor a love hate relationship with email. We hate its Sisyphean tedium, but we love to stay on top of our world and our work objectives. Ultimately, many of us end becoming a slave to our own inboxes. The question now then is...

Machine Learning Is About To Revolutionize Search: Here's How

Google Search is on the forefront of a machine learning revolution, and as search marketers, we need to be prepared for what's coming next.

How Advanced Analytics and Machine Learning Are Transforming Healthcare

Big Data in healthcare has tremendous potential to improve patient care and finally obtain reasonable costs. Healthcare spending is being curtailed and the focus is on reducing the expenses without compromising on the quality of care. This shift forces the healthcare organizations to open up for technology-based solutions that curb the need for costly spending.

Can The NSA's Machines Recognize A Terrorist?

Machine learning algorithms used by the U.S. National Security Agency to identify potential terrorists in Pakistan may be ineffective, because we just don't have enough data to tell the signs of a terrorist, claims an investigation by Ars Technica UK.

Fujitsu Deep Learning Technology Analyzes Time-series Data with High Precision

Fujitsu Laboratories has developed an approach to deep learning that uses advanced chaos theory and topology to automatically and accurately classify volatile time-series data. In benchmark tests that classified time-series data captured from gyroscopes in wearable devices, the new technology was found to achieve roughly 85 percent accuracy, about a 25 percent improvement over existing technology.

How-to Predict Telco Churn With Apache Spark MLlib - DZone Big Data

Spark MLLib is a library for performing machine-learning and associated tasks on massive datasets. With MLlib, fitting a machine-learning model to a billion observations can take a couple lines of code and leverage hundreds of machines. MLlib greatly simplifies the model development process.

7 Tech Trends in 2016 That Web Designers Need to Understand (And Why)

Web design and development go hand in hand. While design is by no means the lesser component, it's the underlying tech which always sets the pace for advancements. Therefore, it's crucial for web designers to stay on top of the latest developments in order to remain a step ahead in their...

Machine Learning: How You Started Working for the Machines

During the last fifteen years, a strange parallel economy has covertly developed to the point where it envelops almost all internet users, including you. No money changes hands in this immense network, but it produces enormous transactional benefits nonetheless. In this economy, you labor daily as a trainer, teaching software robots how to perform tasks.

A Short History of Machine Learning -- Every Manager Should Read

It's all well and good to ask if androids dream of electric sheep, but science fact has evolved to a point where it's beginning to coincide with science fiction. No, we don't have autonomous androids struggling with existential crises - yet - but we are getting ever closer to what [...]

Homeland Security Today: Dell Announces Artificial Intelligence and Machine Learning Solution

By: Amanda Vicinanzo, Online Managing Editor As the cybersecurity landscape continues to evolve, artificial intelligence and machine learning will play an increasingly significant role in combatting today's increasingly sophisticated and damaging security threats, according to Dell.

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