Data Science Dojo

JULY 24, 2023

They allow data processing tasks to be distributed across multiple machines, enabling parallel processing and scalability. It involves various technologies and techniques that enable efficient data processing and retrieval. Stay tuned for an insightful exploration into the world of Big Data Engineering with Distributed Systems!

Big Data 195

Big Data Big Data Data Engineering Data Engineer 195

Data Science Blog

JUNE 27, 2023

This architectural concept relies on event streaming as the core element of data delivery. In practical implementation, the Kappa architecture is commonly deployed using Apache Kafka or Kafka-based tools. Applications can directly read from and write to Kafka or an alternative message queue tool.

Big Data 130

Big Data Big Data Apache Kafka Database 130

AWS Machine Learning Blog

OCTOBER 9, 2024

Using Amazon CloudWatch for anomaly detection Amazon CloudWatch supports creating anomaly detectors on specific Amazon CloudWatch Log Groups by applying statistical and ML algorithms to CloudWatch metrics. Use AWS Glue Data Quality to understand the anomaly and provide feedback to tune the ML model for accurate detection.

AWS 94

AWS ML ML Data Quality 94

AWS Machine Learning Blog

APRIL 19, 2023

We use Amazon SageMaker to train a model using the built-in XGBoost algorithm on aggregated features created from historical transactions. Raj provided technical expertise and leadership in building data engineering, big data analytics, business intelligence, and data science solutions for over 18 years prior to joining AWS.

ML 98

ML ML Apache Kafka SQL 98

ODSC - Open Data Science

OCTOBER 9, 2024

Tools like Harness and JenkinsX use machine learning algorithms to predict potential deployment failures, manage resource usage, and automate rollback procedures when something goes wrong. In the world of DevOps, AI can help monitor infrastructure, analyze logs, and detect performance bottlenecks in real-time.

Apache Kafka 40

Apache Kafka AI AI Machine Learning 40

DagsHub

OCTOBER 23, 2024

General Purpose Tools These tools help manage the unstructured data pipeline to varying degrees, with some encompassing data collection, storage, processing, analysis, and visualization. DagsHub's Data Engine DagsHub's Data Engine is a centralized platform for teams to manage and use their datasets effectively.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

DagsHub

JANUARY 14, 2025

Impact of duplicate data on model performance Duplicate data often impact the model performance unless they are specially augmented ones to improve the model performance or increase minority class representation. Let’s look into potential issues caused by duplicate data. . you can identify similar or duplicate images.

Machine Learning 52

Machine Learning Machine Learning Clustering Algorithm 52