Data Science Weekly Newsletter - Issue 59

Issue #59

Jan 8 2015

 

Editor Picks

 
  • The Emerging Science of Human-Data Interaction
    The rapidly evolving ecosystems associated with personal data is creating an entirely new field of scientific study, say computer scientists. And this requires a much more powerful ethics-based infrastructure...
 
 

Data Science Articles & Videos

 
  • Is Deep Learning a Revolution in AI?
    Can a new technique known as deep learning revolutionize artificial intelligence, as yesterday’s front-page article at the New York Times suggests?...
  • How To Choose A Data Science Project For Your Data Science Portfolio
    You want to create a data science portfolio to showcase you can “do” data science. That you know how to take in a data set, clean it up, use various techniques to extract useful information from it, and then communicate the results. The problem is that you aren’t sure where to start, what projects to do, what languages to use, or even what techniques to use...
  • Talk to R
    Here's a neat demo from Yihui Xie: you can talk to this R graph and customize it with voice commands...
  • I wish I knew these things when I learned Python
    I sometimes found myself asking myself how I cannot know simpler way of doing “this” thing in Python 3. When I seek solution, I of course find much more elegant, efficient and more bug-free code parts over time. In total(not just this post), the total sum of “those” things were far more than I expect/admit, but here is the first crop of features that was not obvious to me and learned later as I sought more efficient/simple/maintainable code...
 
 

Jobs

 
  • Financial Data Scientist - Bloomberg, NYC

    The R&D BVAL Quant group is seeking a motivated data scientist to contribute towards modeling liquidity aspects of fixed income markets. The position revolves at the intersection of machine learning and finance. Knowledge of financial markets, especially of fixed income, is highly desirable but not required. Key responsibilities include creating robust predictive models and explaining modeling rationale to a non-technical audience. The ideal candidate will have a strong machine learning background, experience in dealing with noisy datasets and interest in learning more about financial markets...
 
 

Training & Resources

 
  • PyToolz API Documentation
    Toolz provides a set of utility functions for iterators, functions, and dictionaries. These functions interoperate well and form the building blocks of common data analytic operations. They extend the standard libraries itertools and functools and borrow heavily from the standard libraries of contemporary functional languages...
 
 

Books

 

  • Practical Data Science with R

    Explanation of basic principles with real use cases ...

    "A well rounded, occasionally high-level introductory text that will leave you feeling prepared to participate in the Data Science conversation at work, from earliest planning to presentation and maintenance..."

    For a detailed list of books covering Data Science, Machine Learning, AI and associated programming languages check out our resources page.
 
 
P.S. Happy New Year to all! Wishing you a wonderful 2015 :)
- All the best, Hannah & Sebastian
 
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