31
Graph-Powered Machine Learning at Google
Posted by Sujith Ravi, Staff Research Scientist, Google ResearchRecently, there have been significant advances in Machine Learning that enable comp...
32
Ways Data Projects Fail
Introduction Data science continues to generate excitement and yet real-world results can often disappoint business stakeholders. How can we mitigate risk and ensure results match expectations? Working as a technical data scientist at the interface between R&D and commercial operations has given me an insight into the…
33
34
Pokémon GO: The Data Behind America’s Latest Obsession
Similarweb's blog is a go-to resource for digital professionals and marketing experts offering a wide range of business tips, industry insights, trends and more.
35
Debugging PostgreSQL performance the hard way
Adventures in getting to know our database
36
What is Differential Privacy?
Yesterday at the WWDC keynote, Apple announced a series of new security and privacy features, including one feature that’s drawn a bit of attention — and confusion. Specifically, Apple …
37
38
39
Making SQL Server run on Linux
This post was authored by Scott Konersmann, Partner Engineering Manager, SQL Server, Slava Oks, Partner Group Engineering Manager, SQL Server, and Tobias Ternstrom, Principal Program Manager, SQL Server. Introduction We first announced SQL Server on Linux in March, and recently released the first public preview of SQL…
40
41
Introduction to Zipline: A Trading Library for Python
This blogpost introduces zipline package in python with its benefits, how to install it, and using it code the moving crossover strategy for financial trade
42
43
Announcing YouTube-8M: A Large and Diverse Labeled Video Dataset for Research
Posted by Sudheendra Vijayanarasimhan and Paul Natsev, Software EngineersMany recent breakthroughs in machine learning and machine perception have ...
44
45
46
78% of Reddit Threads with 1,000+ Comments Mention Nazis
Let me start this post by noting that I will not attempt to test Godwin’s Law , which states that:
47
Following a Select Statement Through Postgres Internals (2014)
This is the third of a series of four posts based on a presentation I did at the Barcelona Ruby Conference called “20,000 Leagues Under ActiveRecord.” (posts: one two four and video ).
48
Jepsen: VoltDB 6.3
In the last Jepsen post, we found that RethinkDB could lose data when a network partition occurred during cluster reconfiguration. In this analysis, we’ll show that although VoltDB 6.3 claims strict serializability, internal optimizations and bugs lead to stale reads, dirty reads, and even lost updates; fixes are now…
49
50
NoSQL Databases: A Survey and Decision Guidance
(At the bottom of this page, you find a BibTeX reference to cite this article.)
51
52
Amazon Aurora Update – PostgreSQL Compatibility
Just two years ago (it seems like yesterday), I introduced you to Amazon Aurora in my post Amazon Aurora – New Cost-Effective MySQL-Compatible Database Engine for Amazon RDS. In that post I told you how the RDS team took a fresh, unconstrained look at the relational database model and explained how they built a…
53
Top Books on Amazon Based on Number of HN Users Linking Them in Comments
This visualization shows the top 29 books ranked by the number of unique users linking to corresponding Amazon pages in Hacker News comments from Oct 2006 to Oct 2015.
54
Amazon S3 and Glacier Price Reductions
Back in 2006, we launched S3 with a revolutionary pay-as-you-go pricing model, with an initial price of 15 cents per GB per month. Over the intervening decade, we reduced the price per GB by 80%, launched S3 in every AWS Region, and enhanced the original one-size-fits-all model with user-driven features such as web…
55
A beginners guide to thinking in SQL
In this tutorial we will learn about the concepts behind the SQL syntax. We will go through the basics of how to use the FROM and WHERE clauses, and move on to more advanced topics like joins, aggregations and subqueries.
56
Statistical Mistakes and How to Avoid Them
You can get CS papers published with shoddy statistics, but that doesn’t mean you should. Here are three easy ways to bungle the data analysis in your evaluation section: don’t even try to use statistics when you really ought to; misinterpret an inconclusive statistical test as concluding a negative; or run too many…
57
Engineers Shouldn’t Write ETL
“What is the relationship like between your team and the data scientists?” This is, without a doubt, the question I’m most frequently asked when conducting i...
58
No More Full Table Vacuums in PostgreSQL
I just committed a very important patch to PostgreSQL. The short summary for the patch is " Don't vacuum all-frozen pages. " and it follows...
59
Unix’s file durability problem
You're probably reading this page because you've attempted to access some part of my blog (Wandering Thoughts) or CSpace , the wiki thing it's part of. Unfortunately you're using a browser version that my anti-crawler precautions consider suspicious, most often because it's too old (most often this applies to versions…
60