Dataconomy

APRIL 25, 2025

Dplyr is an essential package in R programming, particularly beneficial for data manipulation tasks. It streamlines data preparation and analysis, making it easier for data scientists and analysts to extract insights from their datasets. Improves comprehension through a user-friendly syntax.

Data Analysis 91

Data Analysis Data Analysis Data Preparation Data Scientist 91

AWS Machine Learning Blog

JUNE 3, 2024

In a single visual interface, you can complete each step of a data preparation workflow: data selection, cleansing, exploration, visualization, and processing. Custom Spark commands can also expand the over 300 built-in data transformations. We start from creating a data flow.

AWS 130

AWS ML ML AI 130

Towards AI

AUGUST 16, 2023

MLOps is the intersection of Machine Learning, DevOps, and Data Engineering. Data quality: ensuring the data received in production is processed in the same way as the training data. MIT Press, ISBN: 978–0262028189, 2014. [2] Zero, “ How to write better scientific code in Python,” Towards Data Science, Feb.

Machine Learning 98

Machine Learning Machine Learning AI AI 98

AWS Machine Learning Blog

NOVEMBER 16, 2023

Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care. Data Management – Efficient data management is crucial for AI/ML platforms. This is a joint blog with AWS and Philips.

ML 129

ML ML AWS AI 129

Heartbeat

AUGUST 21, 2023

GoogLeNet: is a highly optimized CNN architecture developed by researchers at Google in 2014. Training a Convolutional Neural Networks Training a convolutional neural network (CNN) involves several steps: Data Preparation : This method entails gathering, cleaning, and preparing the data that will be utilized to train the CNN.

Natural Language Processing 52

Natural Language Processing Deep Learning Deep Learning ML 52