Krebs on Security starts our week with an update on the Wendy’s data breach. They are up to over 1000 stores affected. Brian de Heus shows us how to hide a payload in a PNG using Python. At Machine Learning Mastery, they give us some ideas on how to deal with missing values in machine learning data.

As always, enjoy today’s items, and please participate in the discussions on these sites.

Startups, Career and Process

Design and Development

Concurrency, Performance and Scalability

AI, Machine Learning, Research and Advanced Algorithms

Big Data, Visualization, SQL and NoSQL

Infrastructure, Operations and DevOps

Security, Encryption and Cryptography

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The Google Security Blog starts our day as they talk about experimenting with post-quantum cryptography. Most of us do not need to worry about the details of this, but just be glad that some very smart people are doing something. Ayende @ Rahien continues the database internals series with two more posts on the performance of writing data to files. There is a good amount of detail on the potential issues around this, so the posts are very interesting reading. Zed A. Shaw has an excellent rant on the fact that programmers really need to learn more about statistics, or at least stop acting like they know more than they do. Personally, I do think most programmers would benefit from learning more about statistics, but it is a large field and takes a good amount of time to study.

As always, enjoy today’s items, and please participate in the discussions on these sites.

Startups, Career and Process

Design and Development

AI, Machine Learning, Research and Advanced Algorithms

Big Data, Visualization, SQL and NoSQL

Infrastructure, Operations and DevOps

Security, Encryption and Cryptography

Link Collections

It was another slow news day, but there is always something interesting to read. First, High Scalability gives us an interesting post on Machine Learning Driven Programming. This is really a post on the directions that companies like Google and Facebook are going, with deep learning replacing whole subsystems. At Ayende @ Rahien, we get the continuation of the database internals series. Today’s installment talks about faster durability, essentially getting your data to disk as fast as possible. On DZone Agile, we get a recruiter’s take on the perfect developer resume. It is more about the structure of the resume, not the technical details since those can change frequently. There are no real surprises, but maybe it helps clean yours up a little.

As always, enjoy today’s items, and please participate in the discussions on these sites.

Startups, Career and Process

Design and Development

Concurrency, Performance and Scalability

AI, Machine Learning, Research and Advanced Algorithms

Big Data, Visualization, SQL and NoSQL

Infrastructure, Operations and DevOps

Link Collections

It was another slow news day but there is still plenty of good reading. On Java Code Geeks, we get a good post on using TF-IDF in practice. This is one of the main indexing methods behind libraries like Lucene, so if you are interested in document searches or indexing in general, it is a good article to check out. MIT Technology Review gives us a good overview of a study about how and why humans make mistakes. There are some interesting nuggets of information in the article, but overall it might not be that surprising to people. At Software Is Crap, we get an excellent rant about building rotten foundations, with a focus on the GTK framework. There is some good opinion on writing and maintaining APIs in between the complaints about GTK.

As always, enjoy today’s items, and please participate in the discussions on these sites.

Startups, Career and Process

Design and Development

Concurrency, Performance and Scalability

AI, Machine Learning, Research and Advanced Algorithms

Big Data, Visualization, SQL and NoSQL

Link Collections

As I slowly get back from vacation, I am just posting the links for today. Things should return to normal tomorrow.

As always, enjoy today’s items, and please participate in the discussions on these sites.

Startups, Career and Process

Design and Development

AI, Machine Learning, Research and Advanced Algorithms

Big Data, Visualization, SQL and NoSQL

Link Collections

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