This Week in Data Science (July 26, 2016)

Posted on October 08, 2020 by Jacky Tea

This Week in Data Science (July 26, 2016)

Posted on July 26, 2016 by cora

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

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INTERESTING DATA SCIENCE ARTICLES AND NEWS

Facebook Moves One Step Closer to Light-Based Wireless Communication – Looking to bring internet access to more people in the world, Facebook researchers are using light to wirelessly transmit internet signals.
Creating a Beer Recommendation Engine – Chernetsky, a data scientist and beer fanatic from San Francisco, walks us through how he created a beer recommendation engine.
A neural network tried to write a 9th Harry Potter book, and the results are hilarious – Max Deutsch was experimenting with deep learning when he used an LSTM recurrent neural network to write a Harry Potter novel.
Understanding Bias: A Pre-requisite For Trustworthy Results – Adam Kelleher explains how using conditional knowledge may cause bias in results.
From Shelter To Forever Home, Big Data Helps Pets – Organizations are looking to use Big Data in order to improve the lives of pets.
Nvidia’s Eye-Tracking Tech Could Revolutionize Virtual Reality – Nvidia is significantly improving the realism of virtual reality by tracking a user’s gaze and applying focusing graphics.
Here’s all the money in the world, in one chart – This data visualization chart displays the distribution of all the money in the world.
Macy’s Teams With IBM Watson For AI-Powered Mobile Shopping Assistant – Macy’s and IBM are launching a cognitive mobile web tool that will help shoppers get information as they navigate Macy’s stores.
Using Keras and Deep Q-Network to Play FlappyBird – This project explains how to use the Deep-Q Learning algorithm and Keras to play FlappyBird.
A Review of Travel Chatbots – Travel chatbots are tested, analyzed, and compared.
What developers want in 2016: JavaScript, Angular, machine learning – Packt, a Birmingham-based company, surveyed developers to learn about their current and future skillsets. They discovered that developers believe that machine learning, Big Data, virtual reality, and the Internet of Things are the “next big thing.”
An analysis of Pokémon Go types, created with R – To get a sense of the distribution of Pokémon types, Joshua Kunst used R to download data from the Pokémon API and created a treemap of all the Pokémon types.
Google Cuts Its Giant Electricity Bill With DeepMind-Powered AI – A DeepMind AI system was put in control of some of Google’s data centers in order to reduce power consumption by manipulating computer servers and related equipment. This system cut power costs by several percentage points.
Comments to the White House Office of Science and Technology Policy on Artificial Intelligence – In response to The White House Office of Science and Technology Policy’s (OSTP) requested comments about artificial intelligence, the Center for Data Innovation has filed comments outlining some of the most significant benefits and challenges of AI.
Why The Internet of Things is Getting Real Now – The Internet of Things is no longer just a concept for a futuristic society. It’s a reality and it can drastically improve and change our lives.
Even IBM’s Watson Is Getting Into ‘Pokémon Go’ – Michael Hsu, a software developer from California, used Watson’s visual recognition API with Watson’s Internet of Things platform to get the supercomputer to play Pokémon Go for him.

UPCOMING DATA SCIENCE EVENTS

Multi-genre Advanced Analytics to Optimize your Hadoop Data Lake – Join Data Science Central’s Webinar on August 2nd as they discuss data lakes and multi-genre analytics.
BDU on 2016 Hadoop Summit – Join BDU at the Hadoop Summit in Australia on September 1st as they discuss spatial-temporal trajectory analysis with Spark.

Tags: analytics, Big Data, data science, events, weekly roundup