Recap of Machine Learning News for November 2017

Recap of Machine Learning News for November 2017

Machine Learning News - November 2017

Machine Learning News


Alibaba’s FashionAI shows how machine learning might save the mall.The, November 13, 2017.

Alibaba’s Sales exceeded 25 billion dollars on the Saturday Singles Day event - All thanks to the FashionAI developed by Alibaba Researchers too woo offline shoppers. It is a basic screen interface that uses machine learning to provide clothing and accessory recommendations to its customers based on the products they are trying. There is no camera installed, it makes use of the information embedded within the product’s tag to provide recommendations. This system lets customers try on clothes , receive fashion tips and suggestions from AI and make on-screen choices. If a customer wishes to try something different then they can be summoned by a store attendant on the mere press of a button.
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Career prospects in machine learning: Gear up for the future., November 15, 2017.

The ability to come up with fundamental innovations in Machine Learning and incorporate them to solve real-world problems is the most in-demand skill today. For machine learning career, one needs considerable experience and software development skills. Knowing just basic programming in Python and R does not mean that you have the skills to deploy an efficient machine learning model to solve a data-related problem. A lot of effort nowadays is spent on training “machine learning engineers” who have the superficial expertise of deploying and fine tuning a machine learning model.
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Machine Learning Projects

Research Team Wins Award for Machine Learning Diagnostic., November 15, 2017.

There are wide range of external and internal issues that can arise from supercomputers. Factors like breakage of physical parts or previous programs performing zombie processes that obstruct the system from functioning properly are some of them. A team of data scientists from Sandia National Laboratories and Boston University have developed a machine learning algorithm that can diagnose any problems in supercomputers. The research by the team found that Random Forest was adept at analysing huge amounts of data, identifying what metrics are important and then finding if the supercomputer is affected by anomaly.The research team’s paper has been published in the journal High Performance Computing.  The team plans to work on the prototype further to find various ways of validating the diagnostics and gauge their performance to identify real anomalies during normal executions on these supercomputers.

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How machine learning is helping Virgin boost its frequent flyer, November 21, 2017.

Virgin Australia is not new to machine learning and has always been looking for better methods of deploying, applying and assessing machine learning algorithms. Virgin Australia is using Massachusetts-based company DataRobot’s automated machine learning service. DataRobot’s automated machine learning service will help Virgin Australia build machine learning models that can predict the types of travel people might undertake, the type of people that will frequently travel, the price the people are willing to pay for travel and the significance of accommodation related to a particular travel trip. DataRobot’s machine learning service has helped Virgin Australia cut down on the time taken to develop predictive models by 90% whilst improving the accuracy of the models by 15%.
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Key Qualities To Look For In AI And Machine Learning Experts., November 21, 2017.

Recruiting machine learning engineers is not a cake-walk as it is difficult to parse an individual based on their background and experience alone.There are specific fundamental qualities to look for when hiring machine learning experts so that they know which machine learning algorithm best addresses a given problem and how one can optimize the result for the same. Here are the key qualities to look for when hiring machine learning experts -

  • Solid background in Stats and Math.
  • Quick to grasp new concepts.
  • Are passionate about the work they do.
  • Have the ability to understand data and derive meaningful insights out of it

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Apple could use machine learning to shore up LiDAR limitations in self-driving., November 23, 2017.

Apple released its new research paper that gives a clear look  at Apple’s work on self-driving technology. The paper describes a method that will use machine learning to translate raw point cloud data collected by LiDAR arrays into outcomes that include detecting bicycles, pedestrians and other 3D objects without requiring any additional sensor data. This is an interesting research because it will allow LiDAR to act effectively on its own within the self-driving systems.
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Samsung to build new lab for machine learning, November 23, 2017.

Samsung’s AI capabilities are considered  perceived to be behind its competitors and in order to  address this weakness ,it has announced the launch of a new research centre that will focus on developing AI and machine learning. The new research centre will  help Samsung expand the AI capabilities of it digital assistant Bixby and other products. However, the details on where the new lab for machine learning research would be setup and how many machine learning experts will work in it are yet to be revealed.
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Learn Machine Learning Online

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