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Machine learning algorithms

Dataconomy

Machine learning algorithms represent a transformative leap in technology, fundamentally changing how data is analyzed and utilized across various industries. Their application spans a wide array of tasks, from categorizing information to predicting future trends, making them an essential component of modern artificial intelligence.

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Implementing Approximate Nearest Neighbor Search with KD-Trees

PyImageSearch

These scenarios demand efficient algorithms to process and retrieve relevant data swiftly. This is where Approximate Nearest Neighbor (ANN) search algorithms come into play. ANN algorithms are designed to quickly find data points close to a given query point without necessarily being the absolute closest.

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No-code data preparation for time series forecasting using Amazon SageMaker Canvas

AWS Machine Learning Blog

In this post, we explore how SageMaker Canvas and SageMaker Data Wrangler provide no-code data preparation techniques that empower users of all backgrounds to prepare data and build time series forecasting models in a single interface with confidence. About the author Muni T.

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Empower your career – Discover the 10 essential skills to excel as a data scientist in 2023

Data Science Dojo

This includes sourcing, gathering, arranging, processing, and modeling data, as well as being able to analyze large volumes of structured or unstructured data. The goal of data preparation is to present data in the best forms for decision-making and problem-solving.

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AI annotation jobs are on the rise

Dataconomy

Data forms the foundation of the modern customer experience. As businesses gather increasingly deep insights into their customers, artificial intelligence (AI) emerges as a powerful ally to turn this data into actionable strategies. In the realm of AI, data annotation stands as an indispensable pillar.

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Artificial Intelligence Using Python: A Comprehensive Guide

Pickl AI

Summary: This guide explores Artificial Intelligence Using Python, from essential libraries like NumPy and Pandas to advanced techniques in machine learning and deep learning. It equips you to build and deploy intelligent systems confidently and efficiently.

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How Dataiku and Snowflake Strengthen the Modern Data Stack

phData

Its cloud-native architecture, combined with robust data-sharing capabilities, allows businesses to easily leverage cutting-edge tools from partners like Dataiku, fostering innovation and driving more insightful, data-driven outcomes. One of the standout features of Dataiku is its focus on collaboration.