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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

Systems 226
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My (Seemingly) Random Walk to Netflix

The Netflix TechBlog

and what the role entails By Sean Barnes, Studio Production Data Science & Engineering I am going to tell you a story about a person that works for Netflix. They attended the University of Southern California, double majored in data science and television & film production, and graduated summa cum laude.

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From monitoring to software intelligence for Flask applications

Dynatrace

Python is the fastest-growing major programming language today. Web development and data science are the two main types of Python development. The two most popular web frameworks used by Python developers are Django and Flask. Let’s walk through how. Dynatrace news.

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From Heavy Metal to Irrational Exuberance

ACM Sigarch

Some of these so-called “scripting languages” are essentially moribund, like Perl (1987) and Tcl/Tk (1988), but many have become incredibly popular, like Python (1990), R (1993), JavaScript (1995), and PHP (also 1995). Consider Python. . Despite their age, these languages are far from dead! As Leiserson et al.

C++ 108
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The ChatGPT Surge

O'Reilly

It might be a surprise how quickly it got to the top of our charts: it peaked in May as the 6th most common search query. At its peak, ChatGPT was in very exclusive company: it’s not quite on the level of Python, Kubernetes, and Java, but it’s in the mix with AWS and React, and significantly ahead of Docker. What can we make of this?

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MLOps and DevOps: Why Data Makes It Different

O'Reilly

As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. How can you start applying the stack in practice today? Why: Data Makes It Different. The new category is often called MLOps.

DevOps 138
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Generative AI in the Enterprise

O'Reilly

And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. In enterprises, we’ve seen everything from wholesale adoption to policies that severely restrict or even forbid the use of generative AI.