Data Science Weekly Newsletter - Issue 233

Issue #233

May 10 2018

Editor Picks
 
  • Why ML interfaces will be more like pets than machines
    When I look ahead is how the new capabilities build on each other as they’re combined together. I believe that they will totally change the way we interact with technology, moving from the push-button model we’ve had since the industrial revolution to something that’s more like a collaboration with our tools. It’s not a perfect analogy, but the most useful parallel I can think of is how our relationship with pets differs from our interactions with machines...
 
 

A Message from this week's Sponsor:

 

 
Master your skills in data science

Data science is emerging as one of the fastest-evolving, interdisciplinary areas in business and IT. Demand for employees with data analysis skills is growing exponentially, with an expected 38,000 new jobs by 2021 (Deloitte Access Economics, 2018). There is a wealth of opportunity for those who are passionate about data and numbers to build or progress their career.

An online master’s degree in data science from James Cook University will enable you to interpret and solve complex problems through data across industry, research and government departments, while gaining knowledge that instantly heightens your value to any organisation.

Future-proof your career today
   

 

Data Science Articles & Videos

 
  • Google’s ML Kit makes it easy to add AI smarts to iOS and Android apps
    At its I/O developer conference, Google today introduced ML Kit, a new software development kit (SDK) for app developers on iOS and Android that allows them to integrate into their apps a number of pre-built Google-provided machine learning models. One nifty twist here is that these models — which support text recognition, face detection, barcode scanning, image labeling and landmark recognition — are available both online and offline, depending on network availability and the developer’s preference...
  • Self-driving cars are here
    Drive.ai will offer a self-driving car service for public use in Frisco, Texas starting in July, 2018...
  • How Much Should You Pay For That 1960’s Fender Stratocaster?
    So… I decided to build a guitar pricing model for myself using guitar sales available on Reverb.com and machine learning! Hopefully, when I have enough money, I can use this model to help guide my purchase of my dream 1960’s Fender Stratocaster...
  • Convolutional Neural Networks: The Biologically-Inspired Model
    It is incredible how human brains can unfold an image consisting of just arrays of R,G,B values. How about computers? How can we begin to write an algorithm that can reason about a scene? How can we get the right data that can support the inferences we make?...
  • Investing in the Data Platform
    Data warehouses are not just for business intelligence (BI) anymore. You can maximize the value of your data engineering, data science, and analytics work by investing in building out a multi-use data-platform that serves business users, Analysts, Statisticians, and intelligent applications...

 

Jobs

 
  • Director of Data Science - Fair Trade Certified - Oakland, CA
    Fair Trade USA's newly formed Data Team works with departments across the organization to collect, manage, analyze and share data about Fair Trade USA’s business and the impact of our work. The organization is committed to being excellent stewards of our data while working quickly to create meaningful data insights that can be used to evaluate the effectiveness of our programs and deliver supply chain insights to our partners. The Director of Data Science will lead a team of 7 data practitioners at Fair Trade USA...
 
 

Training & Resources

 
  • Facebook’s Field Guide to Machine Learning video series
    The Facebook Field Guide to Machine Learning is a six-part video series developed by the Facebook ads machine learning team. The series shares best real-world practices and provides practical tips about how to apply machine-learning capabilities to real-world problems...
  • So your data science project isn’t working
    Despite having beat myself up in these situations, these projects aren’t failing because of me as a data scientist. After experiencing this time and time again, I’ve come to the conclusion that there are three real reasons why data science projects fail...
 
 

Books

 

 
 
P.S., Want to reach our audience / fellow readers? Consider sponsoring - grab a spot now; first come first served! All the best, Hannah & Sebastian
 
Sign up to receive the Data Science Weekly Newsletter every Thursday

Easy to unsubscribe. No spam — we keep your email safe and do not share it.