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Six keys to achieving advanced container monitoring

IBM Big Data Hub

Containers have increased in popularity and adoption ever since the release of Docker in 2013, an open-source platform for building, deploying and managing containerized applications. They differ from virtual machines in that they leverage the features and resources of the host OS versus requiring a guest OS in every instance.

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Discussion: 2013 Wisdom of Crowds® Business Intelligence Market Study

Howard Dresner

Having just recently published our 2013 Wisdom of Crowds® Business Intelligence Market Study, the group attending one of my recent Friday #BIWisdom tweetchats on Twitter wanted more insights on several of the study’s findings. And financial metrics are a great starting place, especially for a public company.

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Top 14 Must-Read Data Science Books You Need On Your Desk

datapine

In 2013, less than 0.5% This interdisciplinary field of scientific methods, processes, and systems helps people extract knowledge or insights from data in a host of forms, either structured or unstructured, similar to data mining. Why You Need To Read Data Science Books. of all available data was analyzed, used, and understood.

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Why you should care about debugging machine learning models

O'Reilly on Data

Security vulnerabilities : adversarial actors can compromise the confidentiality, integrity, or availability of an ML model or the data associated with the model, creating a host of undesirable outcomes. For model training and selection, we recommend considering fairness metrics when selecting hyperparameters and decision cutoff thresholds.

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How to prioritize diversity, equity, and inclusion when hiring

Insight

Felicia first started working on diversity initiatives back in 2013, when she built an employee resource group (ERG) at VMware. Felicia recommends starting by asking yourself some questions that go beyond surface-level metrics: Has my own team received any training on inclusive hiring practices? Who leaves, and why do they leave?

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Build a RAG data ingestion pipeline for large-scale ML workloads

AWS Big Data

Each service implements k-nearest neighbor (k-NN) or approximate nearest neighbor (ANN) algorithms and distance metrics to calculate similarity. Download the questions From your jump host, download the questions data and upload it to your S3 bucket: stack_name="RAGStack" output_key="S3bucket" export AWS_REGION=$(curl -s [link] | sed 's/(.*)[a-z]/1/')

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Responses to Negative Data: Four Senior Leadership Archetypes.

Occam's Razor

In my work with clients around the world (all continents except Antarctica), I’ve encountered a whole host of reactions to when I have shared negative data with ESLs. Bubble Kings most commonly reside in organizations where there is little to no accountability (or misplaced accountability, ex: celebration of vanity metrics).