This Week in Data Science (May 17, 2016)
Posted on May 17, 2016 by cora
Here’s this week’s news in Data Science and Big Data.
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INTERESTING DATA SCIENCE ARTICLES AND NEWS
- A wild dataset has appeared! Now what? – Kevin Davenport walks you through how he explores and analyzes a “wild” dataset.
- Three Unexpected Uses For 3D Printing In Big Data – 3D printing could become useful to data visualization, data storage, and manufacturing.
- Fitness Analytics: Uncovering Insights from Fitness Customers’ Behavior – A chain of fitness centers in Madrid used data analytics to answer key business questions.
- Scientists use data visualization to study Earth – Data visualization and graphics are used to study learn about the changes on Earth such as decreasing ice sheets and changes in wave height.
- Wait – Is this person even a data scientist? – With the increase in praise and popularity of the data scientist, many professions are rebranding themselves as “data scientists.” Could standardized tests help better determine a data scientist’s skills?
- Why Science Still Matters In The Age Of Big Data – Data analytics and machine learning can simply identify patterns. Big Data can not replace basic scientific exploration and research.
- The blurring lines between developer and data scientist – David Taieb and Jorge Castañón describe how their collaboration in building a predictive flight app began to blur their roles.
- Clarifying the uses of artificial intelligence in the enterprise – Artificial Intelligence is a broad term that refers to computers acting intelligently. Michael Schmidt clarifies what Artificial Intelligence actually means for businesses.
- The 7 Deadly Sins of Quantitative Data Analysts – These are the seven big mistakes that data scientists do over and over.
- Making still frames for great circle animations in R – Try using R to create a data visualization of animated great circle arcs on top of a rotating 3D Earth
- It takes a team: Collaboration and workflow in open data science – Open environments are allowing data science teams to become more creative, productive, and dynamic.
- Why Implement Machine Learning Algorithms From Scratch? – With numerous machine learning libraries that cover most algorithm implementations, is there value in implementing algorithms from scratch?
- Machine Learning for Emoji Trends – The current increase in emoji usage represents the rise of a new language. This study analyses emoji usage on Instagram.
UPCOMING & RECENT DATA SCIENCE EVENTS
- Data Science Bootcamp – A summer of data, analytics and insight – Attend a free summer bootcamp starting May 20th in Toronto. Get hands-on training and receive a badge upon completion.
- Data Processing with Python – Attend Toronto data science meetup on May 24th to learn about data processing using the Pandas Python library.
- Introduction to Watson Analytics – Learn how to get started with Watson Analytics on June 7th in Washington.
- Shaping Data Stories with Neuroscience – This webinar, set for May 24th, examines the neuroscience principles of vision, memory, and attention in storytelling.
- Data-Driven Product Innovation Summit – Data experts will guide you through building better products on June 29 & 30 in Austin.
- Datapalooza – Join one of the Datapalooza festivals this summer to build a data product and learn from a diverse community of data professionals.
COOL DATA SCIENCE VIDEOS
- Build an AI Composer – Machine Learning for Hackers – This video teaches you how to use Python to build a music composing neural network.
- IBM Analytics is Open for Data – Learn about IBM’s Open for Data platform that can help drive business decisions.