Dataconomy

FEBRUARY 20, 2025

AI is good at pattern recognition but struggles with reasoning. What if we could combine the best of both worlds the raw processing power of Large Language Models (LLMs) and the structured, rule-based thinking of symbolic AI? Can AI get it right? Meanwhile, human cognition is deeply rooted in logic and coherence. The problem?

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Dataconomy

APRIL 24, 2025

By allowing algorithms to learn autonomously, it opens the door to various innovative applications across different fields. This approach enables algorithms to uncover hidden structures and relationships within the data, facilitating a deeper understanding of the underlying patterns. What is unsupervised learning?

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Towards AI

FEBRUARY 23, 2024

Author(s): Riccardo Andreoni Originally published on Towards AI. Learn how to apply state-of-the-art clustering algorithms efficiently and boost your machine-learning skills.Image source: unsplash.com. This is called clustering. In this introduction guide, I will formally introduce you to clustering in Machine Learning.

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Pickl AI

JANUARY 21, 2025

Summary: Machine Learning algorithms enable systems to learn from data and improve over time. These algorithms are integral to applications like recommendations and spam detection, shaping our interactions with technology daily. These intelligent predictions are powered by various Machine Learning algorithms.

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Towards AI

SEPTEMBER 3, 2024

Last Updated on September 3, 2024 by Editorial Team Author(s): Surya Maddula Originally published on Towards AI. Let’s discuss two popular ML algorithms, KNNs and K-Means. We will discuss KNNs, also known as K-Nearest Neighbours and K-Means Clustering. They are both ML Algorithms, and we’ll explore them more in detail in a bit.

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Towards AI

OCTOBER 31, 2024

Last Updated on October 31, 2024 by Editorial Team Author(s): Jonas Dieckmann Originally published on Towards AI. Image Credits: Pixabay Although AI is often in the spotlight, the focus on strong data foundations and effective data strategies is often overlooked. This is well exemplified by the popular saying “garbage-in, garbage-out”.

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Flipboard

DECEMBER 3, 2024

Syngenta and AWS collaborated to develop Cropwise AI , an innovative solution powered by Amazon Bedrock Agents , to accelerate their sales reps’ ability to place Syngenta seed products with growers across North America. Generative AI is reshaping businesses and unlocking new opportunities across various industries.

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Towards AI

APRIL 28, 2025

Author(s): SETIA BUDI SUMANDRA Originally published on Towards AI. Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming asponsor.

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Google Research AI blog

FEBRUARY 10, 2023

Robust algorithm design is the backbone of systems across Google, particularly for our ML and AI models. Hence, developing algorithms with improved efficiency, performance and speed remains a high priority as it empowers services ranging from Search and Ads to Maps and YouTube. You can find other posts in the series here.)

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AWS Machine Learning Blog

OCTOBER 24, 2024

For this post we’ll use a provisioned Amazon Redshift cluster. Set up the Amazon Redshift cluster We’ve created a CloudFormation template to set up the Amazon Redshift cluster. Implementation steps Load data to the Amazon Redshift cluster Connect to your Amazon Redshift cluster using Query Editor v2.

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Towards AI

MAY 8, 2024

Last Updated on May 9, 2024 by Editorial Team Author(s): Francis Adrian Viernes Originally published on Towards AI. Reverse Engineering The SciKit ImplementationPhoto by Mel Poole on Unsplash Understanding how an algorithm works is interesting as it provides some insights into why an implementation may not be as one would expect.

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Towards AI

APRIL 24, 2025

Last Updated on April 24, 2025 by Editorial Team Author(s): SETIA BUDI SUMANDRA Originally published on Towards AI. Thats the motto of Unsupervised Learning a fascinating branch of machine learning where algorithms learn patterns from unlabeled data. Join thousands of data leaders on the AI newsletter. No Label, No Problem.

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AWS Machine Learning Blog

JANUARY 30, 2025

The use of unsupervised learning methods on semi-structured data along with generative AI has been transformative in unlocking hidden insights. Amazon Bedrock is a fully managed service that provides access to high-performing foundation models (FMs) from leading AI startups and Amazon through a unified API.

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Hacker News

JUNE 12, 2024

As we continue to focus our AI research and development on solving increasingly complex problems, one of the most significant and challenging shifts we’ve experienced is the sheer scale of computation required to train large language models (LLMs). We needed significantly larger RoCE clusters. Both of these options had tradeoffs.

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Google Research AI blog

MAY 25, 2023

Posted by Vincent Cohen-Addad and Alessandro Epasto, Research Scientists, Google Research, Graph Mining team Clustering is a central problem in unsupervised machine learning (ML) with many applications across domains in both industry and academic research more broadly. When clustering is applied to personal data (e.g.,

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Dataconomy

FEBRUARY 26, 2025

DeepSeek is set to accelerate the launch of its new AI model, R2, following the success of its previous model, R1, which recently prompted a $1 trillion sell-off in global equities markets due to its competitive performance against Western counterparts. tech firms that have invested hundreds of billions in AI technologies. technology.

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Flipboard

JANUARY 24, 2025

A right-sized cluster will keep this compressed index in memory. As an AI-centered platform, it creates direct pathways from customer feedback to product development, helping over 1,000 companies accelerate growth with accurate search, fast analytics, and customizable workflows. Anshu Avinash, Head of AI and Search at DevRev.

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AWS Machine Learning Blog

APRIL 4, 2023

In this post, we seek to separate a time series dataset into individual clusters that exhibit a higher degree of similarity between its data points and reduce noise. The purpose is to improve accuracy by either training a global model that contains the cluster configuration or have local models specific to each cluster.

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Data Science Dojo

JULY 2, 2024

Adaptive AI has risen as a transformational technological concept over the years, leading Gartner to name it as a top strategic tech trend for 2023. It is a step ahead within the realm of artificial intelligence (AI). As the use of AI has expanded into various arenas of the world, the technology has also developed over time.

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ODSC - Open Data Science

MARCH 14, 2023

One of the simplest and most popular methods for creating audience segments is through K-means clustering, which uses a simple algorithm to group consumers based on their similarities in areas such as actions, demographics, attitudes, etc. In this tutorial, we will work with a data set of users on Foursquare’s U.S.

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Pickl AI

APRIL 21, 2025

It excels in soft clustering, handling overlapping clusters, and modelling diverse cluster shapes. Its ability to model complex, multimodal data distributions makes it invaluable for clustering , density estimation, and pattern recognition tasks. EM algorithm iteratively optimizes GMM parameters for best data fit.

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Hacker News

AUGUST 5, 2024

AI networks play an important role in interconnecting tens of thousands of GPUs together, forming the foundational infrastructure for training, enabling large models with hundreds of billions of parameters such as LLAMA 3.1 The growing prevalence of AI has introduced a new era of communication demands.

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Dataconomy

SEPTEMBER 22, 2023

Databases are the unsung heroes of AI Furthermore, data archiving improves the performance of applications and databases. How can AI help with data archiving? Artificial intelligence (AI) can be used to automate and optimize the data archiving process. There are several ways to use AI for data archiving.

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Towards AI

JUNE 19, 2024

Last Updated on June 22, 2024 by Editorial Team Author(s): Stephen Chege-Tierra Insights Originally published on Towards AI. Deciding What Algorithm to Use for Earth Observation. Picking the best algorithm is usually tricky or even frustrating. How to determine the right algorithm 1.

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ODSC - Open Data Science

FEBRUARY 23, 2023

5 Must-Know Pillars of a Data Science and AI Foundation A data science and AI foundation needs to be built up properly before diving in head-first. By knowing these core skills, like math and AI literacy, you’ll start off your career on a high note. How can AI be used to help with therapy on-demand for those who need help?

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Smart Data Collective

NOVEMBER 1, 2020

Machines, artificial intelligence (AI), and unsupervised learning are reshaping the way businesses vie for a place under the sun. Unsupervised ML uses algorithms that draw conclusions on unlabeled datasets. The unsupervised ML algorithms are used to: Find groups or clusters; Perform density estimation; Reduce dimensionality.

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Towards AI

OCTOBER 20, 2023

Last Updated on October 21, 2023 by Editorial Team Author(s): Flo Originally published on Towards AI. Using n_init and K-Means++ image by Flo K-Means is a widely-used clustering algorithm in Machine Learning, boasting numerous benefits but also presenting significant challenges. Each cluster is represented by a color.

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AWS Machine Learning Blog

FEBRUARY 13, 2025

Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon available through an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case. This is the k-nearest neighbor (k-NN) algorithm.

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AWS Machine Learning Blog

NOVEMBER 19, 2024

This year, generative AI and machine learning (ML) will again be in focus, with exciting keynote announcements and a variety of sessions showcasing insights from AWS experts, customer stories, and hands-on experiences with AWS services. Fifth, we’ll showcase various generative AI use cases across industries.

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Towards AI

APRIL 16, 2025

Author(s): Luis Ramirez Originally published on Towards AI. For this analysis we will only use the first two components, the result is a two-dimensional plot where similar operating conditions cluster together, besides the two main components we will use a gradient to represent the Remaining Useful Life (RUL).

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Pickl AI

JANUARY 12, 2025

Summary: The article explores the differences between data driven and AI driven practices. Data-driven and AI-driven approaches have become key in how businesses address challenges, seize opportunities, and shape their strategic directions.

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Flipboard

FEBRUARY 16, 2025

Several studies have implemented artificial intelligence (AI) to detect CKD. However, these studies used small datasets, had overfitting problems, lacked generalizability, or used complex algorithms that may require additional computational resources. We identified three clusters from 1600 records.

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Data Science Dojo

JULY 17, 2023

In recent years, there has been a growing interest in the use of artificial intelligence (AI) for data analysis. AI tools can automate many of the tasks involved in data analysis, and they can also help businesses to discover new insights from their data. Top 10 AI tools for data analysis AI Tools for Data Analysis 1.

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IBM Journey to AI blog

AUGUST 9, 2024

Many generative AI tools seem to possess the power of prediction. Conversational AI chatbots like ChatGPT can suggest the next verse in a song or poem. But generative AI is not predictive AI. But generative AI is not predictive AI. What is generative AI? What is predictive AI?

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Dataconomy

MAY 25, 2023

By leveraging advanced algorithms and machine learning techniques, IoT devices can analyze and interpret data in real-time, enabling them to make informed decisions and take autonomous actions. Let’s explore the fascinating intersection of these two technologies and understand how AI enhances the functionalities of IoT.

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Flipboard

JULY 7, 2023

Training AI models requires massive volumes of information. It might be challenging to debug AI models when they fail to function as planned. Furthermore, AI systems’ hardware needs are ever-increasing, making running AI models on older or less powerful machines challenging. Machine learning and AI hosting services.

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Towards AI

SEPTEMBER 10, 2023

Last Updated on September 11, 2023 by Editorial Team Author(s): Magdalena Kortas Originally published on Towards AI. PIXELS TO PRECISION: REFINING ANALYSIS: AI-POWERED EXAMINATION OF INDIVIDUAL FIELDS Moving beyond regional assessments, a finer-grained evaluation of individual fields is achievable.

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