- 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.
Tags: 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?
Tags: 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.
Tags: 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.
Tags: 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.
Tags: 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.
Tags: 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.
Tags: 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.
Tags: 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.
Tags: 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.
Tags: 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.
Tags: 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.
Tags: Data Science, Products, Sean McClure
The 5 Graph Algorithms That Data Scientists Should Know