Smart Data Collective

MARCH 17, 2020

Data Science is a field that extracts useful information from loads of structured and unstructured data using algorithms, statistics, and programming. The concept of data science was first introduced in 2001, but it started gaining popularity in 2010. It may be dealing with data, but it doesn’t have a lot to do with databases.

Data Science 97

Data Science Data Scientist Big Data Big Data 97

DrivenData Labs

SEPTEMBER 10, 2024

Advance algorithms and analytic approaches for early prediction of AD/ADRD, with an emphasis on explainability of predictions. Top solvers from Phase 2 demonstrate algorithmic approaches on diverse datasets and share their results at an innovation event. Phase 2 [Build IT!] Phase 3 [Put IT All Together!]

Machine Learning 147

Machine Learning Machine Learning Computer Science Computer Science 147

AWS Machine Learning Blog

DECEMBER 18, 2023

MongoDB’s robust time series data management allows for the storage and retrieval of large volumes of time-series data in real-time, while advanced machine learning algorithms and predictive capabilities provide accurate and dynamic forecasting models with SageMaker Canvas. Setup the Database access and Network access.

Clustering 121

Clustering AWS Database ML 121

Pickl AI

SEPTEMBER 20, 2024

Summary: Apache Cassandra and MongoDB are leading NoSQL databases with unique strengths. Introduction In the realm of database management systems, two prominent players have emerged in the NoSQL landscape: Apache Cassandra and MongoDB. MongoDB is another leading NoSQL database that operates on a document-oriented model.

Database 52

Database Clustering Data Modeling Data Models 52

AWS Machine Learning Blog

DECEMBER 6, 2023

Overview of RAG RAG solutions are inspired by representation learning and semantic search ideas that have been gradually adopted in ranking problems (for example, recommendation and search) and natural language processing (NLP) tasks since 2010. Load into the SQL database for later querying. Modern LLMs are good at generating SQL.

SQL 119

SQL AWS Analytics Analytics 119

Flipboard

JULY 31, 2023

Algorithms are important and require expert knowledge to develop and refine, but they would be useless without data. These datasets, essentially large collections of related information, act as the training field for machine learning algorithms. This involves feeding the images and their corresponding labels into an algorithm (e.g.,

Machine Learning 104

Machine Learning Machine Learning Deep Learning Deep Learning 104

AWS Machine Learning Blog

SEPTEMBER 11, 2024

This is accomplished by breaking the problem into independent parts so that each processing element can complete its part of the workload algorithm simultaneously. From 2010 onwards, other PBAs have started becoming available to consumers, such as AWS Trainium , Google’s TPU , and Graphcore’s IPU.

AWS 92

AWS ML ML Clustering 92