Analytics Vidhya

MAY 22, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Clustering Algorithms come in handy to use when the dataset. The post 20+ Questions to Test your Skills on K-Means Clustering Algorithm appeared first on Analytics Vidhya.

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Clustering Algorithm Data Science Analytics 220

Analytics Vidhya

JULY 27, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction When it comes to investing it is difficult to find. The post Beginner’s Guide to Cluster Analysis of Stock Returns appeared first on Analytics Vidhya.

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Clustering Data Science Analytics Analytics 320

Analytics Vidhya

JUNE 12, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Agglomerative Clustering using Single Linkage (Source) As we all know, The post Single-Link Hierarchical Clustering Clearly Explained! appeared first on Analytics Vidhya.

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Clustering Data Science Analytics Analytics 271

Analytics Vidhya

APRIL 26, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Overview What Is K Means Clustering Implementation of K means. The post K Means Clustering Simplified in Python appeared first on Analytics Vidhya.

Clustering 262

Clustering Python Data Science Analytics 262

Analytics Vidhya

JUNE 28, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction: As we all know, Artificial Intelligence is being widely. The post Analyzing Decision Tree and K-means Clustering using Iris dataset. appeared first on Analytics Vidhya.

Decision Trees 287

Decision Trees Clustering Artificial Intelligence Artificial Intelligence 287

Towards AI

OCTOBER 31, 2024

Building LLMs for Production is now available as an e-book at an exclusive price on Towards AI Academy! The e-book covers everything from foundational concepts to advanced techniques and real-world applications, offering a structured and hands-on learning experience. Also, Happy Halloween to all those celebrating. Enjoy the read!

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Clustering AI AI Machine Learning 116

Analytics Vidhya

MAY 25, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Machine Learning techniques are broadly divided into two parts : The post K-Means clustering with Mall Customer Segmentation Data | Full Detailed Code and Explanation appeared first on Analytics Vidhya.

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Clustering Machine Learning Machine Learning Data Science 162

Towards AI

FEBRUARY 23, 2024

Learn how to apply state-of-the-art clustering algorithms efficiently and boost your machine-learning skills.Image source: unsplash.com. You find yourself in a vast library with countless books scattered on the shelves. Each book is a unique piece of information, and your goal is to organize them based on their characteristics.

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Clustering Support Vector Machines Machine Learning Machine Learning 115

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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Clustering ML ML AWS 97

Analytics Vidhya

JUNE 26, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Customer segmentation ordinarily relies on enormous data sets and especially demands. The post How To Solve Customer Segmentation Problem With Machine Learning appeared first on Analytics Vidhya.

Machine Learning 266

Machine Learning Machine Learning Data Science Analytics 266

Data Science Dojo

DECEMBER 28, 2023

Formatting the data in a way that ML algorithms can understand. Model selection and training: Teaching machines to learn With your data ready, it’s time to select an appropriate ML algorithm. Popular choices include: Supervised learning algorithms like linear regression or decision trees for problems with labeled data.

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Machine Learning Machine Learning ML ML 195

AWS Machine Learning Blog

FEBRUARY 13, 2025

For instance, for culture, we have a set of embeddings for sports, TV programs, music, books, and so on. However, to demonstrate how this system works, we use an algorithm designed to reduce the dimensionality of the embeddings, t-distributed Stochastic Neighbor Embedding (t-SNE) , so that we can view them in two dimensions.

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AWS K-nearest Neighbors Clustering Algorithm 98

Data Science Dojo

AUGUST 3, 2023

It is fast, scalable, and supports a variety of machine learning algorithms. Faiss is a library for efficient similarity search and clustering of dense vectors. Imagine that you have a vector database that stores information about books. This will return a list of books that are similar to the book you are looking for.

Database 195

Database Natural Language Processing Machine Learning Machine Learning 195

PyImageSearch

SEPTEMBER 16, 2024

Home Table of Contents Credit Card Fraud Detection Using Spectral Clustering Understanding Anomaly Detection: Concepts, Types and Algorithms What Is Anomaly Detection? Spectral clustering, a technique rooted in graph theory, offers a unique way to detect anomalies by transforming data into a graph and analyzing its spectral properties.

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Clustering Algorithm Machine Learning Machine Learning 56

Towards AI

SEPTEMBER 5, 2024

Currently, we are working hard on the second edition of Building LLMs for Production, and we would love to know how your reading journey with the book has been. Super excited to read your reviews for the book! It highlights the top 5 machine learning algorithms that every beginner should know. AI poll of the week!

Algorithm 85

Algorithm ML ML Machine Learning 85

Data Science Dojo

JUNE 7, 2023

Data preparation entails organizing and cleaning the data, while data modeling involves creating predictive models using algorithms. A sound understanding of machine learning algorithms is also crucial for developing predictive models. It is divided into three primary areas: data preparation, data modeling, and data visualization.

Data Science 195

Data Science Data Visualization Data Scientist Machine Learning 195

Dataconomy

JANUARY 3, 2024

Imagine walking into a vast library, with an overwhelming number of books filled with complex and intricate narratives. Machine learning: curating your news experience Data isn’t just a cluster of numbers and facts; it’s becoming the sculptor of the media experience. How do you choose what to read?

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Data Analysis Data Analysis Big Data Big Data 207

Pickl AI

JANUARY 13, 2025

Summary: This curated list of 20 Artificial Intelligence books for beginners highlights foundational concepts, coding practices, and ethical insights. This blog highlights the 20 best Artificial Intelligence books tailored for newcomers, offering practical insights, ethical considerations, and real-world applications.

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Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 52

Towards AI

APRIL 7, 2024

Created by the author with DALL E-3 Statistics, regression model, algorithm validation, Random Forest, K Nearest Neighbors and Naïve Bayes— what in God’s name do all these complicated concepts have to do with you as a simple GIS analyst? For example, it takes millions of images and runs them through a training algorithm.

Machine Learning 105

Machine Learning Machine Learning K-nearest Neighbors Supervised Learning 105

AWS Machine Learning Blog

DECEMBER 22, 2023

As a result, machine learning practitioners must spend weeks of preparation to scale their LLM workloads to large clusters of GPUs. Integrating tensor parallelism to enable training on massive clusters This release of SMP also expands PyTorch FSDP’s capabilities to include tensor parallelism techniques.

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Clustering Deep Learning Deep Learning AWS 119

Flipboard

APRIL 6, 2023

” Anthropic describes the frontier model as a “next-gen algorithm for AI self-teaching,” making reference to an AI training technique it developed called “constitutional AI.” “These models could begin to automate large portions of the economy,” the pitch deck reads.

AI 178

AI AI Clustering Algorithm 178

Towards AI

MARCH 26, 2024

However, whether OpenAI/Microsoft Azure has the capacity for a 50,000 or 150,000 GPU single training cluster remains unclear. Separate from scaling compute — it is also important for the next generation of models to continue scaling data and implementing algorithmic improvements and breakthroughs.

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AI AI Clustering Azure 98

Pickl AI

NOVEMBER 4, 2024

Mathematics is critical in Data Analysis and algorithm development, allowing you to derive meaningful insights from data. Linear algebra is vital for understanding Machine Learning algorithms and data manipulation. Books and Tutorials Books and tutorials are valuable resources for in-depth, self-paced learning.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

O'Reilly Media

SEPTEMBER 19, 2023

A basic, production-ready cluster priced out to the low-six-figures. A company then needed to train up their ops team to manage the cluster, and their analysts to express their ideas in MapReduce. Plus there was all of the infrastructure to push data into the cluster in the first place. And, often, to giving up. Goodbye, Hadoop.

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Hadoop Algorithm ML ML 135

Dataconomy

JULY 3, 2023

Inspired by nature’s own processes, evolutionary computing uses smart algorithms to tackle complex challenges in various areas. Evolutionary computing algorithms can analyze lots of medical information, spot patterns, and optimize diagnostic methods to help doctors make accurate and fast diagnoses.

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Algorithm Artificial Intelligence Artificial Intelligence Clustering 91

AWS Machine Learning Blog

FEBRUARY 25, 2025

Services class Texts belonging to this class consist of explicit requests for services such as room reservations, hotel bookings, dining services, cinema information, tourism-related inquiries, and similar service-oriented requests. For the classfier, we employed a classic ML algorithm, k-NN, using the scikit-learn Python module.

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Algorithm Machine Learning Machine Learning K-nearest Neighbors 71

Towards AI

JUNE 19, 2024

An algorithm is making choices about where to split the space. The algorithm here is based on the most simple and straightforward approach — there is no boosting, bagging or random forestry involved. What I learned The algorithm is good at capturing some patterns Decision trees are able to capture some patterns exceptionally well.

Decision Trees 77

Decision Trees Algorithm Machine Learning Machine Learning 77

AWS Machine Learning Blog

JANUARY 31, 2024

This technique is achieved through the use of ML algorithms that enable the understanding of the meaning and context of data (semantic relationships) and the learning of complex relationships and patterns within the data (syntactic relationships). There are multiple techniques to convert a sentence into a vector. Nitin Eusebius is a Sr.

Natural Language Processing 131

Natural Language Processing AWS Machine Learning Machine Learning 131

Towards AI

JUNE 25, 2024

There has, in fact, been some level of stalling in scaling up LLM training clusters and scaling models to new levels of compute budget (layers, dimensions, and training data). I think getting clusters beyond ~30k H100 GPUs has taken longer than planned.

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Clustering AI AI Python 91

AWS Machine Learning Blog

SEPTEMBER 11, 2024

The following figure illustrates the idea of a large cluster of GPUs being used for learning, followed by a smaller number for inference. This is accomplished by breaking the problem into independent parts so that each processing element can complete its part of the workload algorithm simultaneously.

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AWS ML ML Clustering 97

Data Science 101

OCTOBER 31, 2019

A definition from the book ‘Data Mining: Practical Machine Learning Tools and Techniques’, written by, Ian Witten and Eibe Frank describes Data mining as follows: “ Data mining is the extraction of implicit, previously unknown, and potentially useful information from data. Clustering. Anomaly Detection.

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Data Mining Data Mining Data Mining Data Science 77

PyImageSearch

OCTOBER 21, 2024

One such technique is the Isolation Forest algorithm, which excels in identifying anomalies within datasets. In the first part of our Anomaly Detection 101 series, we learned the fundamentals of Anomaly Detection and saw how spectral clustering can be used for credit card fraud detection. And Why Anomaly Detection?

Algorithm 102

Algorithm Deep Learning Deep Learning Data Preparation 102

Data Science Dojo

SEPTEMBER 19, 2023

Read the Top 10 Statistics Books for Data Science Geometry and Topology 7. You will likely find that the histogram is bell-shaped, with most of the students clustered around the average height and fewer students at the extremes. Learn about Top Machine Learning Algorithms for Data Science 11. Physics and Engineering: 10.

Computer Science 195

Computer Science Computer Science Data Science Algorithm 195

Dataconomy

APRIL 27, 2023

Concurrency algorithms are used to ensure that no two users can change the same data at the same time and that all transactions are carried out in the proper order. This helps prevent issues such as double-booking the same hotel room and accidental overdrafts on joint bank accounts.

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Database Data Scientist Data Mining Data Mining 159

AWS Machine Learning Blog

MARCH 13, 2024

JumpStart is the machine learning (ML) hub of SageMaker that provides access to foundation models in addition to built-in algorithms and end-to-end solution templates to help you quickly get started with ML. But with great power comes great responsibility, As algorithms can bias, with malicious intent. Assistant: Certainly!

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Machine Learning Machine Learning Algorithm Python 129

PyImageSearch

JUNE 19, 2023

Each service uses unique techniques and algorithms to analyze user data and provide recommendations that keep us returning for more. movies, books, videos, or music) for any user. Precision@K Precision measures the efficiency of a machine learning algorithm. It first analyzes the usefulness of each item in a given set (e.g.,

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K-nearest Neighbors Clustering Algorithm Deep Learning 56

Mlearning.ai

JANUARY 27, 2023

Words with similar semantic properties, such as “dog” and “puppy,” would be represented in the vector space by vectors that are close to one another, but words with different properties, such as “dog” and “book,” would be represented by vectors that are farther apart.

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Natural Language Processing Clustering Algorithm Machine Learning 52