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Why is Hiring so Hard? How to Improve Your Hiring Fortunes

Strategic Tech

finding good software engineers takes so long and requires so much effort… but it doesn’t have to. Make Your Organisation Irresistible to Software Engineers The easiest and cheapest way to hire good engineers is to let them come to you. You might think that you need to be Google, Netflix, or ThoughtWorks?—?to

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Software engineering for machine learning: a case study

The Morning Paper

Software engineering for machine learning: a case study Amershi et al., Previously on The Morning Paper we’ve looked at the spread of machine learning through Facebook and Google and some of the lessons learned together with processes and tools to address the challenges arising. ICSE’19. Today it’s the turn of Microsoft.

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SKP's Java/Java EE Gotchas: Clash of the Titans, C++ vs. Java!

DZone

As a Software Engineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. Recently, I spent some time checking on the Performance (not a very detailed study) of the various programming languages.

Java 207
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MLOps and DevOps: Why Data Makes It Different

O'Reilly

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. The new category is often called MLOps. This approach is not novel.

DevOps 138
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O’Reilly serverless survey 2019: Concerns, what works, and what to expect

O'Reilly

More than a fifth of the respondents work in the software industry—skewing results toward the concerns of software companies, and helping explain the preponderance of those with software engineering roles. As noted earlier, the majority of survey respondents are software engineers.

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Orchestrating Data/ML Workflows at Scale With Netflix Maestro

The Netflix TechBlog

These include ETL pipelines, ML model training workflows, batch jobs, etc. Similarly, ML model training workflows usually consist of tens of thousands of training jobs within a single workflow. A large number of batch workflows run daily to serve various business needs.

Java 202
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Communal Computing’s Many Problems

O'Reilly

Examples include popular home assistants and smart displays like the Amazon Echo, Google Home, Apple HomePod, and many others. In Privacy in Context, Nissenbaum talks about the privacy implications of Google Street View when it places photos of people’s houses on Google Maps. Source: Google Face Match video, [link] ).

Google 121