Pickl AI

NOVEMBER 4, 2024

By implementing efficient data pipelines , organisations can enhance their data processing capabilities, reduce time spent on data preparation, and improve overall data accessibility. Data Storage Solutions Data storage solutions are critical in determining how data is organised, accessed, and managed.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

NOVEMBER 28, 2024

Data Transformation Transforming data prepares it for Machine Learning models. Encoding categorical variables converts non-numeric data into a usable format for ML models, often using techniques like one-hot encoding. Outlier detection identifies extreme values that may skew results and can be removed or adjusted.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

The MLOps Blog

MAY 31, 2023

The objective of an ML Platform is to automate repetitive tasks and streamline the processes starting from data preparation to model deployment and monitoring. One might want to utilize an off-the-shelf ML Ops Platform to maintain different versions of data. How to set up a data processing platform?

ML 59

ML ML Algorithm Machine Learning 59

DataRobot Blog

OCTOBER 3, 2017

Many announcements at Strata centered on product integrations, with vendors closing the loop and turning tools into solutions, most notably: A Paxata-HDInsight solution demo, where Paxata showcased the general availability of its Adaptive Information Platform for Microsoft Azure. DataRobot Data Prep. free trial.

Data Lakes 52

Data Lakes Azure Data Pipeline Hadoop 52

Pickl AI

DECEMBER 4, 2024

Augmented Analytics Augmented analytics is revolutionising the way businesses analyse data by integrating Artificial Intelligence (AI) and Machine Learning (ML) into analytics processes. Gain Experience with Big Data Technologies With the rise of Big Data, familiarity with technologies like Hadoop and Spark is essential.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52