data – Page 2 – Andrew Fairless, Ph.D.

What I Read: Against SQL

By Andrew Fairless on September 1, 2021August 17, 2021

https://scattered-thoughts.net/writing/against-sql/ Against SQLJamie BrandonLast updated 2021-07-09 “The core message that I want people to take away is that there is potentially a huge amount of value to be unlocked byContinue readingWhat I Read: Against SQL

What I Read: Building Data Platform

By Andrew Fairless on August 12, 2021July 22, 2021

https://www.montecarlodata.com/the-quick-and-dirty-guide-to-building-your-data-platform/ Updated July 9, 2021The Quick and Dirty Guide to Building Your Data PlatformBarr Moses, Lior Gavish“For most organizations, building a data platform is no longer a nice-to-have but aContinue readingWhat I Read: Building Data Platform

What I Read: Dataset Curation for NLP Projects

By Andrew Fairless on June 15, 2021May 30, 2021

https://www.kdnuggets.com/2021/05/4-tips-dataset-curation-nlp-projects.html 4 Tips for Dataset Curation for NLP ProjectsBy Paul Barba, Chief Scientist, Lexalytics. “After many years of painfully learned lessons from managing and implementing AI and ML projects, I’veContinue readingWhat I Read: Dataset Curation for NLP Projects

What I Read: Difficulty of Graph Anonymisation

By Andrew Fairless on March 27, 2021March 7, 2021

https://www.timlrx.com/blog/tracetogether-and-the-difficulty-of-graph-anonymisation Timothy Lin@timlrxxSunday, February 7, 2021TraceTogether and the Difficulty of Graph Anonymisation “The word “anonymised data” seems to convey a certain sense of certainty that user information cannot be back-derived.Continue readingWhat I Read: Difficulty of Graph Anonymisation

What I Read: Deploying Machine Learning, a Survey of Case Studies

By Andrew Fairless on February 23, 2021February 3, 2021

https://arxiv.org/abs/2011.09926 Challenges in Deploying Machine Learning: a Survey of Case StudiesAndrei Paleyes, Raoul-Gabriel Urma, Neil D. Lawrence “This survey reviews published reports of deploying machine learning solutions in a varietyContinue readingWhat I Read: Deploying Machine Learning, a Survey of Case Studies

What I Read: How DAGs grow

By Andrew Fairless on February 14, 2021January 18, 2021

https://greatexpectations.io/blog/deeper-wider-thicker/ How DAGs grow: Deeper, wider, and thickerNovember 16, 2020 “Over time, this turns into a steady, compounding creep in the maintenance time that you’re putting into the project…. StuffContinue readingWhat I Read: How DAGs grow

What I Read: Essential data science skills

By Andrew Fairless on February 10, 2021January 13, 2021

https://towardsdatascience.com/essential-data-science-skills-that-no-one-talks-about-74bca9ec4892 Essential data science skills that no one talks about.Old fashioned engineering skills are what you need to boost your data science careerMichael KolomenkinOct 19 “I want to talk aboutContinue readingWhat I Read: Essential data science skills

What I Read: Comparing Data Version Control Tools – 2020

By Andrew Fairless on February 9, 2021January 12, 2021

https://dagshub.com/blog/data-version-control-tools/ Comparing Data Version Control Tools – 2020Oct 31, 2020 “Managing and creating the data sets used for these models requires lots of time and space, and can quickly becomeContinue readingWhat I Read: Comparing Data Version Control Tools – 2020

What I Read: Architectures for Modern Data Infrastructure

By Andrew Fairless on February 4, 2021January 10, 2021

https://a16z.com/2020/10/15/the-emerging-architectures-for-modern-data-infrastructure/ Emerging Architectures for Modern Data Infrastructureby Matt Bornstein, Martin Casado, and Jennifer Li “We’re now starting to see the rise of massive, complex systems built around data – whereContinue readingWhat I Read: Architectures for Modern Data Infrastructure

What I Read: Making Netflix’s Data Infrastructure Cost-Effective

By Andrew Fairless on January 11, 2021December 23, 2020

https://netflixtechblog.com/byte-down-making-netflixs-data-infrastructure-cost-effective-fee7b3235032?gi=dda98a1395a9 Byte Down: Making Netflix’s Data Infrastructure Cost-EffectiveNetflix Technology BlogJul 8 · 8 min readBy Torio Risianto, Bhargavi Reddy, Tanvi Sahni, Andrew Park “At many other organizations, an effective wayContinue readingWhat I Read: Making Netflix’s Data Infrastructure Cost-Effective

Tag: data