This Week in Data Science (April 19, 2016)
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.