Category Archives for "Analytics Use Cases"

Sep 11

Student projects leapfrog governments and industry in ‘Data Science for Social Good’ program

By ganpati | Analytics Use Cases

Source: Bigstockphoto

Source: Bigstockphoto

By Devin Coldewey

Big data is hardly new at this point — nor has it wrought anywhere near its potential effects on many companies and institutions insulated by inertia and red tape. A summer program at the University of Washington called Data Science for Good shows that fresh eyes and good code can make more in 10 weeks than some have done in as many years.

It’s all part of UW’s eScience Institute, and the program is based on similar ones at the University of Chicago and Georgia Tech. Teams of students from around the country apply to take part, then travel to Seattle and work with experts who connect them with data and tools.

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Jul 29

Deep Learning Challenges in Kaggle

By ganpati | Analytics Use Cases , News Updates

Deep learning competitons in Kaggle

Source: Bigstockphoto

Deep learning gives us the power to interpret, classify, cluster or predict anything that humans can sense and that our technology can digitize. With deep learning, we are basically giving society the ability to behave much more intelligently, by accurately interpreting what’s happening in the world around us with software. Here are some challenges in Kaggle where you can use deep learning to derive meaning out of images, video, sound, text and so on.

Classify handwritten digits using the famous MNIST data

The goal in this competition is to take an image of a handwritten single digit, and determine what that digit is. The data for this competition were taken from the MNIST dataset. The MNIST (“Modified National Institute of Standards and Technology”) dataset is a classic within the Machine Learning community that has been extensively studied. More detail about the dataset, including Machine Learning algorithms that have been tried on it and their levels of success, can be found here.

Right Whale Recognition

With fewer than 500 North Atlantic right whales left in the world’s oceans, knowing the health and status of each whale is integral to the efforts of researchers working to protect the species from extinction.

To track and monitor the population, right whales are photographed during aerial surveys and then manually matched to an online photo-identification catalog. Customized software has been developed to aid in this process (DIGITS), but this still requires manual inspection of the potential comparisons that involves lag time for those images to be incorporated into the database.
This competition challenges you to automate the right whale recognition process using a dataset of aerial photographs of individual whales. Automating the identification of right whales would allow researchers to better focus on their conservation efforts.

Visit the competition page

Develop a Gesture Recognizer for Microsoft Kinect (TM)

You will never need a remote controller anymore, you will never need a light switch. Lying in bed in the dark, you will point to the ceiling to turn on the light, you will wave your hand to increase the temperature, you will make a T with your hands to turn on the TV set. You and your loved ones will feel safer at home, in parking lots, in airports: nobody will be watching, but computers will detect distressed people and suspicious activities. Computers will teach you how to effectively use gestures to enhance speech, to communicate with people who do not speak your language, to speak with deaf people, and you will easily learn many other sign languages to comminicate under water, to referee sports, etc. All that thanks to gesture recognition!

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Identify hand motions from EEG recordings

Currently, there are no realistic, affordable, or low-risk options for neurologically disabled patients to directly control external prosthetics with their brain activity.

Recorded from the human scalp, EEG signals are evoked by brain activity. The relationship between brain activity and EEG signals is complex and poorly understood outside of specific laboratory tests. Providing affordable, low-risk, non-invasive BCI devices is dependent on further advancements in interpreting EEG signals.

This competition challenges you to identify when a hand is grasping, lifting, and replacing an object using EEG data that was taken from healthy subjects as they performed these activities.

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Multi-label Bird Species Classification – NIPS 2013

Identify which of 87 classes of birds and amphibians are present into 1000 continuous wild sound recordings

The Neural Information Processing Scaled for Bioacoustics (NIPS4B) bird song competition asks participants to identify which of 87 sound classes of birds and their ecosystem are present in 1000 continuous wild recordings from different places in Provence, France. The data is provided by the BIOTOPE society, which maintains the largest collection of wild recordings of birds in Europe.

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BCI Challenge @ NER 2015

As humans think, we produce brain waves. These brain waves can be mapped to actual intentions. In this competition, you are given the brain wave data of people with the goal of spelling a word by only paying attention to visual stimuli. The goal of the competition is to detect errors during the spelling task, given the subject’s brain waves.

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Facial Keypoints Detection

This getting-started competition provides a benchmark data set and an R tutorial to get you going on analysing face images.

The objective of this task is to predict keypoint positions on face images. This can be used as a building block in several applications, such as:

Tracking faces in images and video
Analysing facial expressions
Detecting dysmorphic facial signs for medical diagnosis
Biometrics / face recognition

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Identify Bird Species From Continuous Audio Recordings

This competition asks participants to identify which of 35 species of birds are present in continuous recordings taken at three different locations. The data is provided by the Muséum national d’Histoire naturelle, one of the most respected bird survey institutions in the world.

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Help develop safe and effective medicines by predicting molecular activity

When developing new medicines it is important to identify molecules that are highly active toward their intended targets but not toward other targets that might cause side effects. The objective of this competition is to identify the best statistical techniques for predicting biological activities of different molecules, both on- and off-target, given numerical descriptors generated from their chemical structures.

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Jul 17

How Big Data Is Transforming The Healthcare Sector

By ganpati | Analytics Use Cases


Author: Bernard Marr

Big Data will leave no sector untouched as it continues to change the way we think about everything from sales to human resources, and medicine and healthcare are no different.

For years, the basis of most medical research and discovery has been the collection and analysis of data: who gets sick, how they get sick and why.

But now, with sensors in every smartphone and doctors able to share information across disciplines, the quantity and quality of the data available is greater than ever before, which means that the potential for breakthroughs and change is growing just as exponentially.


We humans are notoriously terrible about preventing problems — we’re much more motivated to treat them after they appear. But healthcare providers know that the old adage “an ounce of prevention is worth a pound of cure” is true.

Smartphones and other popular smart devices including Jawbone, Fitbit and others, now have the capacity to help people track their progress towards a healthier lifestyle. Apps and devices to help track and monitor physical fitness but also chronic ailments like diabetes, Parkinson’s and heart disease are also being developed.

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