This Week in Data Science (February 23, 2016)
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Interesting Data Science Articles and News
- How Spark and RapidMiner are helping to create ‘citizen data scientists’ | #SparkSummit – Peter Lee, RapidMiner CEO, speaks about the opportunities in predictive data analytics available to non coders using RapidMiner 7.
- To Prevent Another Flint, Make All Open Data Machine Readables – Open data can help prevent the next Flint. Had environmental authorities placed water testing results into an open data platform, citizens could have noticed the problem.
- What Makes a Good Visualization – Learn about the four components that make a good data visualization: information, story, goal, visual form.
- Demystifying the complexities of Spark and Hadoop | #SparkSummit – Matthew Hunt, head of Big Data at Bloomberg LP, demystifies the complexities of working
- Start your Internet of Things project today – As the number of connected devices increases, learn the important components of starting your own internet of things project.
- Using Support Vector Machines for Digit Recognition – Use the MNIST (Mixed National Institute of Standards and Technology) dataset to write a digit recognition Python script using Support Vector Machines.
- Facebook Launch Suicide Prevention Tool In UK: ‘Suicide Is Not Inevitable, It Is Preventable’ – Facebook and the Samaritans are launching a suicide prevention tool to identify and support users who are in distress or considering suicide.
- Ensemble Methods: Elegant Techniques to Produce Improved Machine Learning Results – Improve Machine Learning results with techniques such as voting and averaging. Pseudocode is provided for reinforcement.
- How you can use Facebook to track your friends’ sleeping habits – In this digital age, we share our information without a second thought. Louv-Jansen uses Facebook’s web-based Messenger app data to track his friends sleeping habits.
- The Advantages of Mining Full-Text Articles over Abstracts – Currently, many researchers use article abstracts when text mining. Explore the many advantages were they to switch to using full-text articles.
- Scikit Flow: Easy Deep Learning with TensorFlow and Scikit-learn – ry simple deep learning using TensorFlow and Scikit-learn.
- A Conversation Between Two AIs – See what happens when two AI personal assistants communicate.
- Training a Recurrent Neural Network to Compose Music – Araoz uses machine learning techniques to train his machine to compose music. The results are surprising!
- Machines and Metaphors – What happens when you combine art and computer programming? With algorithms now recreating paintings like the Mona Lisa, questions about creativity and machine perception arise.
Upcoming & Recent Data Science Events
- Big Data Innovation Summit – Join the industry’s top minds at “the world’s largest executive led Big Data Summit” in San Francisco, California on April 21 & 22, 2016. Share challenges and successes with the best minds in the field.
- Pass Business Analytics 2016 Conference – Attend the Business Analytics Conference May 3-4, 2016 in San Jose, California in order to learn from industry experts and gain analytics skills.
- R programming/Data Science Methodology Hands On (Washington) – Learn about R programming on March 7, 2016 at the Conference Center in College Park.
- Introduction to Watson Analytics – Learn about how to easily get answers from data with IBM Watson Analytics on March 1, 2016 in Toronto.
- Introduction to Data Science using R programming – Get started in Data Science (and R programming) on March 3, 2016 in Montreal (also available in Ottawa on the 1st).
- Ensuring Data Hygiene at Mobify – Learn about IBM’s Data Scientist Workbench and how to clean ‘dirty’ data on February 25, 2016 in Vancouver, BC.
Cool Data Science Videos
- Introduction to Python for Data Science – A great way to get started with data science using Python.
- Big Data to Big Art with Henry Trae Winter – Henry Trae examines the best ways to interpret big data for human use by exploring a few large datasets and different visualization tools. By doing so, notice how the lines of art and science blur.
- The Human Face of Big Data – Health sensors are becoming more plentiful and helpful to the individual. We can now begin to understand the benefits that this data may have on our collective behavior and health.
- IBM Cloud Data Services unlocks the full potential of a hybrid cloud infrastructure – Use IBM’s powerful and scalable Cloud Data Services to gain insight from your data.