Command-line Tools can be 235x Faster than your Hadoop Cluster (2014)
Hacker News
JANUARY 25, 2024
Adam Drake is an advisor to scale-up tech companies. He writes about ML/AI/crypto/data, leadership, and building tech teams.
Hacker News
JANUARY 25, 2024
Adam Drake is an advisor to scale-up tech companies. He writes about ML/AI/crypto/data, leadership, and building tech teams.
AWS Machine Learning Blog
SEPTEMBER 8, 2023
You need permissions to deploy AWS CloudFormation templates, push to the Amazon Elastic Container Registry (Amazon ECR), create Amazon Identity and Access Management (AWS IAM) roles, Amazon Lambda functions, Amazon S3 buckets, Amazon Step Functions, Amazon OpenSearch cluster, and an Amazon Cognito user pool.
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Mlearning.ai
APRIL 1, 2023
Doc2Vec was introduced in 2014 by a team of researchers led by Tomas Mikolov. Image taken from Efficient Estimation of Word Representation in Vector Space Top2Vec Top2Vec is an unsupervised machine-learning model designed for topic modelling and document clustering. To achieve this, Top2Vec utilizes the doc2vec model.
phData
MARCH 29, 2024
Founded in 2014 by three leading cloud engineers, phData focuses on solving real-world data engineering, operations, and advanced analytics problems with the best cloud platforms and products. Over the years, one of our primary focuses became Snowflake and migrating customers to this leading cloud data platform.
Mlearning.ai
APRIL 8, 2023
2014) Significant people : Geoffrey Hinton Yoshua Bengio Ilya Sutskever 5. 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.
Cambridge Intelligence
JUNE 28, 2023
It’s a busy chart, but I’m drawn to the cluster of larger team nodes in the top left. In 2014, London also hosted the finish of a stage that started in my hometown, Cambridge. Visualizing the Tour de France: the early years Hmmmm. Those “TDF 190# ” don’t look right – they’re clearly not teams – but I know what’s happened.
AWS Machine Learning Blog
APRIL 5, 2024
Among these models, the spatial fixed effect model yielded the highest mean R-squared value, particularly for the timeframe spanning 2014 to 2020. SageMaker Processing enables the flexible scaling of compute clusters to accommodate tasks of varying sizes, from processing a single city block to managing planetary-scale workloads.
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