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? Alternative Ways to Represent Data

FlowingData

This is issue #221 of The Process , where we look closer at how the charts get made. Happy new year. I’m Nathan Yau, and — I’m pretty sure I say this in one form or another every year — this year, 2023, is the time to learn new data things.

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All the iPhone 16 rumors we have heard so far

Dataconomy

mm) Weight 225 grams 221 grams Better display and processor We might see an upgrade in the iPhone 16’s display technology. Here are the expectations and iPhone 16 rumors regarding screen size: iPhone 16 Pro iPhone 16 Pro iPhone 15 Pro Thickness 8.25 mm Height 149.6 mm Width 71.45 mm Display 6.3″ ″ (159.31 ″ (155.38

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Warehouse Product Segmentation using Python

Mlearning.ai

value_counts() The outcome is As a result, we find that there are 221 SKUs on Category A, accounting for approximately 22% of total SKUs, and representing 75% of total SKUs sales volumes. Now we are going to use value_counts() function to get the number of SKUs in each category. value_counts().sort_values() width=0.7)

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Business Management Systems for Data-Driven Businesses

Smart Data Collective

Data Security Systems There were 221 million data breaches in the United States in 2021. Also, consider tools that support automated reminder notifications for tasks, deadlines, and other important events. It will keep everyone on the same page and up-to-date with the team’s progress.

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Amazon SageMaker built-in LightGBM now offers distributed training using Dask

AWS Machine Learning Blog

Dataset Size Number of Examples Number of Features Problem Type lending club loan ~10 G 1, 439, 141 955 Binary classification code ~10 G 18, 268, 221 9 Multi-class classification (number of classes in target: 10) NYC taxi ~0.5 The data statistics are presented as follows.

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LLM Fine-Tuning and Model Selection Using Neptune and Transformers

The MLOps Blog

. <pre class =" hljs " style =" display : block; overflow-x: auto; padding: 0.5

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Benchmark and optimize endpoint deployment in Amazon SageMaker JumpStart 

AWS Machine Learning Blog

Concurrent Requests 1 2 4 8 16 32 64 128 1 2 4 8 16 32 64 128 Instance Count Instance Type Number of total tokens: 512, Number of output tokens: 256 1 ml.g5.2xlarge 30 60 115 210 351 484 492 — 32 33 34 37 45 93 160 — 2 ml.g5.2xlarge 30 60 115 221 400 642 922 949 32 33 34 37 42 53 94 167 3 ml.g5.2xlarge 30 60 118 228 421 731 1170 1400 32 33 34 36 39 (..)

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