LinkedIn Engineering

JUNE 15, 2023

To remove this bottleneck, we built AvroTensorDataset , a TensorFlow dataset for reading, parsing, and processing Avro data. Today, we’re excited to open source this tool so that other Avro and Tensorflow users can use this dataset in their machine learning pipelines to get a large performance boost to their training workloads.

Datasets 102

Datasets Bytes Process Data Ingestion 102

U-Next

NOVEMBER 25, 2022

Machine Learning algorithms can help overcome these challenges by automatically detecting patterns in the data. . Overall, Big Data and Machine Learning are complementary fields. Together they can help machines learn how to recognize patterns in complex datasets and make valuable predictions. quintillion bytes.

Big Data 52

Big Data Machine Learning Deep Learning Algorithm 52

Tweag

APRIL 19, 2023

Machine Learning (ML). Deep Learning. Whether displaying it on a screen or feeding it to a neural network, it is fundamental to have a tool to turn the stored bytes into a meaningful representation. A solution is to read the bytes that we need when we need them directly from Blob Storage. Neural Networks (NNs).

Medical 60

Medical Process Cloud Bytes 60

Knowledge Hut

NOVEMBER 27, 2023

Developing technical skills is essential, starting with foundational knowledge in mathematics, including calculus and linear algebra, which underpin machine learning and deep learning concepts. quintillion bytes per day. One of the most in-demand industries of the modern world is Data Science. Year

Data Science 52

Data Science Datasets Machine Learning Algorithm 52

Towards Data Science

JANUARY 26, 2023

In contrast, a deep learning training application might prioritize reducing the average sequential read and total processing time in order to minimize the potential for performance bottlenecks in the training flow. For example, both PyTorch and TensorFlow support prefetching training-data files for optimizing deep learning training.

Cloud Storage 72

Cloud Storage Big Data Cloud AWS 72

Cloudera

NOVEMBER 15, 2021

The International Data Corporation (IDC) estimates that by 2025 the sum of all data in the world will be in the order of 175 Zettabytes (one Zettabyte is 10^21 bytes). Seagate Technology forecasts that enterprise data will double from approximately 1 to 2 Petabytes (one Petabyte is 10^15 bytes) between 2020 and 2022. Data annotation.

Unstructured Data 88

Unstructured Data Pipeline-centric Database-centric Entertainment 88

Knowledge Hut

AUGUST 1, 2023

Ever wondered how machine learning can revolutionize the healthcare industry? Machine learning is a way in which artificial intelligence is used to train algorithms or computers. Machine learning algorithms can analyze potentially tera bytes of data, identify patterns from these data, and make predictions or decisions.

Machine Learning 52

Machine Learning Medical Healthcare Hospitality 52