2016-04-19

Here’s this week’s news in Data Science and Big Data.

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Interesting Data Science Articles and News

Every shot Kobe Bryant ever took. All 30,699 of them – Tour a data visualization of every shot made by Kobe Bryant throughout his 20-year career.

Amazing Big Data At NASA: Real Time Analytics 150 Million Miles From Earth – In order to improve their mission planning, NASA has added open source analytics software into its systems for the Mars rover missions.

Back to the Future of Handwriting Recognition – Revisit Gabriel Groner’s contribution to RAND corporation’s Graphical Input Language software system (GRAIL). Learn how his handwriting recognition system works.

Artificial Intelligence Can Now Design Realistic Video and Game Imagery – Magic Pony Technology, a U.K.-based startup, has developed a machine learning software that identifies patterns in low-resolution images in order to create new higher quality images. It can generate new graphical elements in real-time in order to create more realistic video and game graphics.

Cleaning Big Data: Most Time-Consuming, Least Enjoyable Data Science Task, Survey Says – A survey analyzes how data scientists spend most of their time. They discovered that “data preparation” accounts for a whopping 80% of their work.

Film Dialogue Broken Down by Gender and Age – Film dialogue data is analysed to study the gender and age divide in Hollywood.

American Cancer Society and IBM to Create Virtual Cancer Health Advisor – The American Cancer Society (ACS) has partnered with IBM Watson to develop a virtual health advisor for cancer patients. It connects patients with resources such as treatment information and support services.

How to Treat Missing Values in Your Data – Learn about the techniques used when data values are missing from your data set.

Machine learning is going to revolutionize the way you use your phone – Today our smartphones are filled with dozens of apps. The personal assistants of the future will use machine learning to juggle our apps so we don’t have to.

Using Machine Learning to Predict Customer Behaviour – Use machine learning to generate customer delight, prevent customer exhaustion, and improve a company’s ROI.

IoT and health data: 6 security best practices – Three health company executives share what they’ve learned about collecting and securing health data from Internet of Things (IoT) devices.

Google Calendar’s newest feature uses machine learning to help you actually accomplish your goals – Google recently released a new calendar feature called Goals. It uses machine learning to analyze a user’s habits and schedule tasks at times when the user will most likely accomplish it.

Why big data and privacy are often at odds – Is big data analysis a threat to user privacy?

Bipartisan OPEN Government Data Act Ensures Open Data is Here to Stay – The Center for Data Innovation welcomed the unveiling of the bipartisan OPEN Government Data Act.

Big Data and The Cloud: A Match Made in Heaven – By eliminating the expenses involved for companies to set up their own systems, on demand cloud computing has opened up Big Data to both small and large businesses.

What Happened When Ford Tested Its Self-Driving Car in Total Darkness – Ford successfully tested its self-driving car in the dark. It’s lidar sensors map the nearby environment with laser light. This allows the car to navigate on its own.

Upcoming Data Science Events

Big Data Festival 2016 – Learn about big data innovation, visualization, and the Internet of Things on April 21 – 22 in San Francisco.

Introduction to Big Data and Hadoop – Learn the most important big data fundamentals followed by a discussion about Hadoop on April 26th in Toronto.

Marketing & Analytics Data Science Conference – Learn how to use marketing analytics and data science to drive business forward on June 8-10 in San Francisco.

The post This Week in Data Science (April 19, 2016) appeared first on Big Data University.



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