Data Science Dojo

JANUARY 22, 2025

We will start the series by diving into the historical background of embeddings that began from the 2013 Word2Vec paper. Here’s a guide to choosing the right vector embedding model Importance of Vector Databases in Vector Search Vector databases are the backbone of efficient and scalable vector search.

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Dataconomy

AUGUST 25, 2023

Face detection algorithms based on geometric models, such as the Haar cascades model, or machine learning-based approaches, such as convolutional neural networks (CNNs), have been used to perform this task. Algorithms such as fiducial landmark detection and shape vector representation have been employed to extract these descriptors.

Artificial Intelligence 171

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 171

Smart Data Collective

OCTOBER 13, 2021

Fast Company wrote about this back in 2013 when they said that Big Data is Rewriting Hollywood Scripts. Tools like this use complex data-driven algorithms to come up with the best deck examples for aspiring screenwriters. There is a large database that can help you find what you are looking for.

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Big Data Big Data Database Analytics 128

ODSC - Open Data Science

FEBRUARY 28, 2023

Improving Operations and Infrastructure Taipy The inspiration for this open-source software for Python developers was the frustration felt by those who were trying, and struggling, to bring AI algorithms to end-users. Making Data Observable Bigeye The quality of the data powering your machine learning algorithms should not be a mystery.

Data Science 96

Data Science Machine Learning Machine Learning AI 96

AWS Machine Learning Blog

JUNE 23, 2023

Prerequisites For this post, the administrator needs the following prerequisites: A Snowflake user with administrator permission to create a Snowflake virtual warehouse, user, and role, and grant access to this user to create a database. The dataset includes credit card transactions in September 2013 made by European cardholders.

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phData

MAY 17, 2024

The forecasting algorithm uses gradient boosting to model data and the rolling average of historical data to help predict trends. This low-code solution lets you use your existing Snowflake data and easily create a visualization to predict the future of your sales, taking into account unlimited data points.

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Hacker News

MARCH 18, 2025

And so were in a position to compare the results of human effort (aided, in many cases, by systematic search) with what we can automatically do by the algorithmic process of adaptive evolution. Butas was actually already realized in the mid-1990sits still possible to use algorithmic methods to fill in pieces of patterns.

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