Remove Data Engineering Remove Data Lakes Remove Supervised Learning
article thumbnail

Getir end-to-end workforce management: Amazon Forecast and AWS Step Functions

AWS Machine Learning Blog

Given the availability of diverse data sources at this juncture, employing the CNN-QR algorithm facilitated the integration of various features, operating within a supervised learning framework. Utilizing Forecast proved effective due to the simplicity of providing the requisite data and specifying the forecast duration.

AWS 130
article thumbnail

Find Your AI Solutions at the ODSC West AI Expo

ODSC - Open Data Science

Cloudera Cloudera is a cloud-based platform that provides businesses with the tools they need to manage and analyze data. They offer a variety of services, including data warehousing, data lakes, and machine learning. However, there are some critical differences between the two companies.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Botnet Detection at Scale?—?Lessons Learned From Clustering Billions of Web Attacks Into Botnets

ODSC - Open Data Science

To cluster the data we have to calculate distances between IPs — The number of all possible IP pairs is very large, and we had to solve the scale problem. Data Processing and Clustering Our data is stored in a Data Lake and we used PrestoDB as a query engine.

article thumbnail

Definite Guide to Building a Machine Learning Platform

The MLOps Blog

Other users Some other users you may encounter include: Data engineers , if the data platform is not particularly separate from the ML platform. Analytics engineers and data analysts , if you need to integrate third-party business intelligence tools and the data platform, is not separate. Allegro.io

article thumbnail

Big Data – Das Versprechen wurde eingelöst

Data Science Blog

Von Big Data über Data Science zu AI Einer der Gründe, warum Big Data insbesondere nach der Euphorie wieder aus der Diskussion verschwand, war der Leitspruch “S**t in, s**t out” und die Kernaussage, dass Daten in großen Mengen nicht viel wert seien, wenn die Datenqualität nicht stimme. ChatGPT basiert auf GPT-3.5

Big Data 147