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Building a Media Understanding Platform for ML Innovations

Netflix Tech

Earlier we shared the details of one of these algorithms , introduced how our platform team is evolving the media-specific machine learning ecosystem , and discussed how data from these algorithms gets stored in our annotation service. We build creator tooling to enable these colleagues to focus their time and energy on creativity.

Media 118
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Data Structures and Algorithms (DSA) Projects with Source Code

Knowledge Hut

Data structures and algorithms are the building blocks of effective software in computer science and programming. We shall also discuss various data structures and algorithm projects with source code. What is an Algorithm? Software engineers need to understand algorithms to design dependable and effective code.

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Container Runtime: GPU Training & Inference with Snowflake Notebooks

Snowflake

Build cost-effective, scalable and flexible ML models in Snowflake Many enterprises are already using Container Runtime to cost-effectively build advanced ML use cases with the easy access to GPUs. CHG builds and productionizes its end-to-end ML models in Snowflake ML. With over $5.5 See this quickstart to learn more.

Food 96
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Lifecycle of a Successful ML Product: Reducing Dasher Wait Times

DoorDash Engineering

Building an ML-powered delivery platform like DoorDash is a complex undertaking. Once we identify an opportunity, we usually start small by testing the ML hypothesis using a heuristic before deciding to invest into building out the ML models. If the initial heuristic works, we build out and replace the heuristic with the ML models.

Food 73
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Data Engineering Weekly #142

Data Engineering Weekly

Data Engineering Weekly Is Brought to You by RudderStack RudderStack Profiles takes the SaaS guesswork, and SQL grunt work out of building complete customer profiles, so you can quickly ship actionable, enriched data to every downstream team. Save-the-date Just Eat: Building a Listwise Ranking TF recommender - A step-by-step guide.

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Fundamentals of Apache Spark

Knowledge Hut

Spark offers over 80 high-level operators that make it easy to build parallel apps and one can use it interactively from the Scala, Python, R, and SQL shells. Analytics - Spark can be very useful when building real-time analytics from a stream of incoming data. Who uses Apache Spark Listing a few use cases of Apache spark below : 1.

Scala 98
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Freshly’s Journey to Building Their 5-Layer Data Platform Architecture

Monte Carlo

For Freshly, food isn’t the only thing that needs to be delivered fresh and fast; our data also needs to be reliable, timely, and most importantly, accurate. The first team is responsible for building the backend data infrastructure. We built the rest of our data platform around this core building block.