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Data-driven insight in the era PII

Precisely

The European Union’s General Data Protection Regulation (commonly known as GDPR) came into effect on the 25th May 2018. The number crunching statistical routines used to build these systems cluster neighborhoods of similar types together, revealing a national social taxonomy.

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Machine Learning Interview Questions to Land the Perfect Data Science Job

Smart Data Collective

The Bureau of Labor Statistics reports that there were over 31,000 people working in this field back in 2018. Is K-means clustering different from KNN? Are you looking to get a job in big data? That could be a wise career move. The median annual wage is $118,370. However, it is not easy to get a career in big data.

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Fast and cost-effective LLaMA 2 fine-tuning with AWS Trainium

AWS Machine Learning Blog

Our high-level training procedure is as follows: for our training environment, we use a multi-instance cluster managed by the SLURM system for distributed training and scheduling under the NeMo framework. From 2015–2018, he worked as a program director at the US NSF in charge of its big data program. Youngsuk Park is a Sr.

AWS 99
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23 Best Free NLP Datasets for Machine Learning

Iguazio

20 Newsgroups A dataset containing roughly 20,000 newsgroup documents spanning a variety of topics, for text classification, text clustering and similar ML applications. million articles from 20,000 news sources across a seven day period in 2017 and 2018. Get the dataset here. Long-Form Content 14. Get the dataset here.

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IBM and Microsoft partnership accelerates sustainable cloud modernization

IBM Journey to AI blog

According to the IT Sustainability Beyond the Data Center report from the IBM Institute for Business Value, some estimates suggest that there has been a 43% absolute increase in the power capacity demand by data center operators between 2018 and 2021, and that the global data center market will grow by more than 30% between 2021 and 2027.

Azure 81
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From Rulesets to Transformers: A Journey Through the Evolution of SOTA in NLP

Mlearning.ai

2018) “ Language models are few-shot learners ” by Brown et al. Efficient Large-Scale Language Model Training on GPU Clusters Using Megatron-LM ” by Deepak Narayanan et al. Use Cases :Language Modeling, Question Answering, Text Generation Significant papers: “Attention is all you need” by Vaswani et al.

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Visualizing the Tour de France in the year I tackle the route

Cambridge Intelligence

It’s a busy chart, but I’m drawn to the cluster of larger team nodes in the top left. The largest of the other nodes linked to this team is Froome’s future super domestique turned 2018 winner (and 2019 runner up), Geraint Thomas. Visualizing the Tour de France: the early years Hmmmm.