DareData

JULY 29, 2020

Deep learning models are vulnerable against malicious adversarial examples. One paper suggests that there is a need for a re-orientation of the healthcare industry to be more "patient-centric". What makes a good Data Pipeline? Good data pipelines are essential for any data-driven company.

Healthcare 52

Healthcare Data Pipeline Medical Pipeline-centric 52

Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. What is the role of a Data Engineer? They are required to have deep knowledge of distributed systems and computer science.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

JUNE 20, 2023

Factors Data Engineer Machine Learning Definition Data engineers create, maintain, and optimize data infrastructure for data. In addition, they are responsible for developing pipelines that turn raw data into formats that data consumers can use easily.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Cloudera

NOVEMBER 15, 2021

Here we briefly describe some of the challenges that data poses to AI. Data annotation. Abundance of data has been one of the main facilitators of the AI boom of the last decade. Deep Learning, a subset of AI algorithms, typically requires large amounts of human annotated data to be useful. Conclusions.

Unstructured Data 88

Unstructured Data Pipeline-centric Database-centric Entertainment 88

ProjectPro

JUNE 1, 2017

Datos IO has extended its on-premise and public cloud data protection to RDBMS and Hadoop distributions. RecoverX is described as app-centric and can back up applications data whilst being capable of recovering it at various granularity levels to enhance storage efficiency. now provides hadoop support.

Hadoop 52

Hadoop Medical Pipeline-centric Database-centric 52

ProjectPro

DECEMBER 16, 2021

They need to know everything about the data and apply various mathematical and statistical tools to identify the most significant features using feature selection, feature engineering , feature transformation, etc. An essential skill for both the job roles is familiarity with various machine learning and deep learning algorithms.

Machine Learning 52

Machine Learning Engineering Pipeline-centric Database-centric 52

Databand.ai

DECEMBER 20, 2022

Follow Eric on LinkedIn 10) Brian Femiano Senior Data Engineer at Apple Brian is a senior data engineer with nearly two decades of experience at companies like Booz Allen Hamilton, Magnetic, Pandora, and, most recently, Apple. He’s written hundreds of blogs and tought multiple courses on computer vision and deep learning.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52