- Bringing Machine Learning Research to Product Commercialization - Nov 27, 2018.
In this blog post I want to share some of the insights into the differences between academia and industry when applying deep learning to real-world problems as we experienced them at Merantix over the last two years.
Academics, Machine Learning, Products, Research
- 3 Stages of Creating Smart - Oct 4, 2018.
The technology is advancing at a pace that should enable any company to create “smart” products, things and spaces. But how does one go about actually creating smart?
IoT, Products, Smart Data
- Key Takeaways from KDD 2018: a Deconfounder, Machine Learning at Pinterest, Knowledge Graph - Sep 11, 2018.
Highlights and key takeaways from KDD 2018, 24th ACM SIGKDD conference on Data Science and Data Mining: including what is a deconfounder, how Pinterest approaches Machine Learning, Knowledge Graph for Products, and Differential Privacy.
Amazon, Causation, Highlights, KDD-2018, Knowledge Graph, London, Machine Learning, Pinterest, Privacy, Products
- Iterate Your Way to a Top Analytics Product Experience, Aug 7 webinar - Jul 25, 2018.
Learn how Mark43 researched, prototyped, and iterated to deliver analytics and business intelligence tools to police departments, emergency call centers, and other public safety agencies.
Analytics, Business Intelligence, Looker, Police, Products
- Products for Product People: Best Practices in Analytics, July 24 Webinar - Jul 19, 2018.
Learn product analytics best practices and the "meta" perspective from a practitioner who is building products that anybody, including product managers, can use to access, analyze, and act on data to make important decisions.
Analytics, Best Practices, Industry, Looker, Products
- What is Minimum Viable (Data) Product? - Jul 12, 2018.
This post gives a personal insight into what Minimum Viable Product means for Machine Learning and the importance of starting small and iterating.
AirBnB, Data, Machine Learning, Products
- How to build analytic products in an age of data privacy - May 17, 2018.
Privacy-preserving analytics is not only possible, but with GDPR about to come online, it will become necessary to incorporate privacy in your data products.
Analytics, Ben Lorica, Differential Privacy, GDPR, Privacy, Products, Strata
- Why Data Scientists Must Focus on Developing Product Sense - Apr 6, 2018.
Data Scientists should focus on developing product sense to move fast and systematically, create models that are relevant and to able to know when to stop.
Advice, Career, Data Scientist, Products
- Apple: Manager, Data Science – Apple Media Products Commerce Engineering - Oct 23, 2017.
Seeking a Manager, Data Science to build our data science and machine learning team and develop a long-term roadmap where modeling will have a huge material impact in savings in financial cost while maintaining the Apple brand of trust, using cutting edge technology.
Apple, CA, Cupertino, Data Scientist, Manager, Media, Products
- Valuable Data Products: Answers to Career Questions and More - Oct 21, 2016.
Collecting high quality data from various resources and turning it into data products is one of the ways to monetize data in today’s digital economy. Lets take a deeper look into it.
Big Data Software, Education, LinkedIn, Monetizing, Products
- DataRPM: Building Data Products For Recommendations And Predictions, Webinar, Feb 18 - Feb 16, 2016.
Learn how to build data products for recommendations and predictions quickly and easily using DataRPM; Why productizing data can transform your organization.
DataRPM, Products, Recommendation Engine
- How Data Science makes Better Products - May 1, 2015.
This video defines adaptive software, shows how data science realizes these applications, and discusses how these new tools are addressing real world challenges across all industries.
Data Science, Products, Sean McClure
