DZone
AUGUST 9, 2023
Machine learning (ML) has seen explosive growth in recent years, leading to increased demand for robust, scalable, and efficient deployment methods. Traditional approaches often need help operationalizing ML models due to factors like discrepancies between training and serving environments or the difficulties in scaling up.
Scalegrid
JANUARY 5, 2024
Enhanced data security, better data integrity, and efficient access to information. Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity.
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The Netflix TechBlog
MARCH 7, 2024
In addition to Spark, we want to support last-mile data processing in Python, addressing use cases such as feature transformations, batch inference, and training. There are several ways to provide explainability to models but one way is to train an explainer model based on each trained model.
High Scalability
DECEMBER 16, 2022
This model of computing has become increasingly popular in recent years, as it offers a number of benefits, including cost savings, flexibility, scalability, and increased efficiency. I'm sorry, but as a large language model trained by OpenAI, I don't have the ability to browse the internet or keep up-to-date with current events.
Edge Perspectives
MARCH 26, 2019
In our Big Shift world, we confront the imperative of institutional innovation – shifting from institutional models built on scalable efficiency to institutional models built on scalable learning. Let me lead with the answer – no, I’m not against efficiency. This post seeks to answer that question. Who wouldn’t want that?
The Netflix TechBlog
NOVEMBER 11, 2022
Although model-based anomaly detection approaches are more scalable and suitable for real-time analysis, they highly rely on the availability of (often labeled) context-specific data. In semi-supervised anomaly detection models, only a set of benign examples are required for training.
Scalegrid
JANUARY 9, 2024
As more companies move away from traditional on-premises data centers, they enter into an era where scalability, flexibility, and cost-effectiveness become possible through various services offered by different providers in the market today. It is also crucial to follow the principle of least privilege and regularly conduct audits.
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