Data Science Dojo

JANUARY 21, 2024

Anyhow, with the exponential growth of digital data, manual document review can be a challenging task. Hence, AI has the potential to revolutionize the eDiscovery process, particularly in document review, by automating tasks, increasing efficiency, and reducing costs. The model can review and categorize new documents automatically.

Natural Language Processing 221

Natural Language Processing AI AI Machine Learning 221

Flipboard

MARCH 11, 2025

For years, businesses, governments, and researchers have struggled with a persistent problem: How to extract usable data from Portable Document Format (PDF) files. Read full article Comments

Data Analysis 174

Data Analysis Data Analysis Algorithm Machine Learning 174

Data Science Dojo

DECEMBER 20, 2024

The complexity of SuperGLUE tasks drives researchers to develop more sophisticated models, leading to advanced algorithms and techniques. The complexity of HumanEval tasks drives researchers to develop more sophisticated models, leading to advanced algorithms and techniques.

AI 418

AI AI Data Analysis Data Analysis 418

Flipboard

DECEMBER 6, 2024

  Medical imaging already leads the way in the clinical application of artificial intelligence: Algorithms that help to analyze CT scans, MRIs, and X-rays account for more than three-quarters of AI-based devices authorized by the Food and Drug Administration.

Artificial Intelligence 169

Artificial Intelligence Artificial Intelligence AI AI 169

Analytics Vidhya

NOVEMBER 3, 2021

Overview In NLP, tf-idf is an important measure and is used by algorithms like cosine similarity to find documents that are similar to a given search query. This article was published as a part of the Data Science Blogathon. Here in this blog, we will try to break tf-idf and see how sklearn’s TfidfVectorizer calculates […].

Data Science 319

Data Science Algorithm Analytics Analytics 319

Data Science Dojo

SEPTEMBER 7, 2023

Just like people, Algorithmic biases can occur sometimes. AI algorithms are used to make decisions about everything from who gets a loan to what ads we see online. However, AI algorithms can be biased, which can have a negative impact on people’s lives. Thinking why? Well, think of AI as making those characters.

Algorithm 195

Algorithm AI AI Artificial Intelligence 195

Data Science Dojo

DECEMBER 6, 2023

This process is typically facilitated by document loaders, which provide a “load” method for accessing and loading documents into the memory. This involves splitting lengthy documents into smaller chunks that are compatible with the model and produce accurate and clear results.

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Database Data Preparation Algorithm AI 370

Flipboard

DECEMBER 6, 2023

The model then uses a clustering algorithm to group the sentences into clusters. Implementation includes the following steps: The first step is to break down the large document, such as a book, into smaller sections, or chunks. It works by first embedding the sentences in the text using BERT.

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AWS Clustering Artificial Intelligence Artificial Intelligence 167

Data Science Dojo

SEPTEMBER 25, 2024

By leveraging AI-powered algorithms, media producers can improve production processes and enhance creativity. Some key benefits of integrating the production process with AI are as follows: Personalization AI algorithms can analyze user data to offer personalized recommendations for movies, TV shows, and music.

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AI AI Algorithm Artificial Intelligence 448

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.

Machine Learning 52

Machine Learning Machine Learning Algorithm Decision Trees 52

Analytics Vidhya

JUNE 3, 2024

Evaluation ensures the RAG pipeline retrieves relevant documents, generates […] The post A Guide to Evaluate RAG Pipelines with LlamaIndex and TRULens appeared first on Analytics Vidhya. Over the past few months, I’ve fine-tuned my RAG pipeline and learned that effective evaluation and continuous improvement are crucial.

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Analytics Analytics Algorithm Python 318

AWS Machine Learning Blog

APRIL 11, 2024

Organizations across industries want to categorize and extract insights from high volumes of documents of different formats. Manually processing these documents to classify and extract information remains expensive, error prone, and difficult to scale. Categorizing documents is an important first step in IDP systems.

Database 131

Database AWS Algorithm ML 131

Data Science Dojo

MARCH 2, 2024

However, there are more options and opportunities thanks to technological development, including AI algorithms and field boundary detection with satellite technologies. In this piece, we will delve into technologies driving the field, such as remote sensing and cutting-edge algorithms.

Algorithm 370

Algorithm Machine Learning Machine Learning Artificial Intelligence 370

Flipboard

DECEMBER 18, 2024

improves search results for best matching 25 (BM25), a keyword-based algorithm that performs lexical search, in addition to semantic search. Lexical search relies on exact keyword matching between the query and documents. For a natural language query searching for super hero toys, it retrieves documents containing those exact terms.

K-nearest Neighbors 121

K-nearest Neighbors AWS ML ML 121

Towards AI

APRIL 28, 2025

Models like Sentence Transformers map words, sentences, or documents into high-dimensional vectors. To find relevant text, you compare vectors using metrics like cosine similarity, retrieving documents whose embeddings are closest to the query embedding. It scores documents based on: 1. Its not purely vector space.

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Python Database AI AI 102

Analytics Vidhya

MARCH 11, 2023

Introduction Document image analysis is the name for the algorithms and methods used to turn the pixels in an image into a description that a computer can understand. Optical Character Recognition, or OCR, uses computer vision to find and read the text in images.

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Algorithm Analytics Analytics 208

Flipboard

JANUARY 24, 2025

You can then run searches for the top K documents in an index that are most similar to a given query vector, which could be a question, keyword, or content (such as an image, audio clip, or text) that has been encoded by the same ML model. To learn more, refer to the documentation.

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K-nearest Neighbors ML ML Algorithm 145

Dataconomy

FEBRUARY 27, 2025

has expanded its Phi line of open-source language models with the introduction of two new algorithms designed for multimodal processing and hardware efficiency: Phi-4-mini and Phi-4-multimodal. Microsoft Corp. Phi-4-mini and Phi-4-multimodal features Phi-4-mini is a text-only model that incorporates 3.8

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Azure Algorithm AI AI 184

AWS Machine Learning Blog

MARCH 21, 2025

Research papers and engineering documents often contain a wealth of information in the form of mathematical formulas, charts, and graphs. Navigating these unstructured documents to find relevant information can be a tedious and time-consuming task, especially when dealing with large volumes of data.

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AWS AI AI Data Scientist 113

Flipboard

DECEMBER 3, 2024

Efficient metadata storage with Amazon DynamoDB – To support quick and efficient data retrieval, document metadata is stored in Amazon DynamoDB. Key components include: Orchestrated document processing with AWS Step Functions – The document processing workflow begins with AWS Step Functions , which orchestrates each step in the process.

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AWS AI AI Machine Learning 149

Analytics Vidhya

MARCH 5, 2023

Introduction A web page is a document or information resource that is accessible through the World Wide Web.

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Machine Learning Machine Learning Analytics Analytics 328

Hacker News

AUGUST 14, 2024

Introducing BMX, an iteration on the industry standard BM25 search algorithm. Through the incorporation of entropy-weighted query-document similarity and weighted query augmentation, the algorithm can increase search performance on the most relevant information retrieval benchmarks.

Algorithm 154

Algorithm 154

Dataconomy

FEBRUARY 6, 2024

One area where AI has made substantial strides is medical scribing, transforming the way healthcare professionals document patient encounters. In this article, we will delve into the best 5 medical AI scribes that have garnered attention for their contributions to streamlining medical documentation processes in healthcare.

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AI AI Machine Learning Machine Learning 206

Data Science Dojo

JULY 2, 2023

By analyzing diverse data sources and incorporating advanced machine learning algorithms, LLMs enable more informed decision-making, minimizing potential risks. Entity recognition: It reduces human error by classifying documents and minimizing manual and repetitive work.

Natural Language Processing 369

Natural Language Processing Deep Learning Deep Learning Predictive Analytics 369

Data Science Dojo

JANUARY 22, 2025

Heres how embeddings power these advanced systems: Semantic Understanding LLMs use embeddings to represent words, sentences, and entire documents in a way that captures their semantic meaning. The process enables the models to find the most relevant sections of a document or dataset, improving the accuracy and relevance of their outputs.

Database 195

Database ML ML AI 195

PyImageSearch

DECEMBER 23, 2024

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.

K-nearest Neighbors 115

K-nearest Neighbors Algorithm Deep Learning Deep Learning 115

Data Science Dojo

NOVEMBER 5, 2024

You can also learn the skills needed to use LLMs for updating software documentation to maintain accurate and up-to-date documentation, improving the overall quality and reliability of software projects. It will empower you to focus more on complex problem-solving and less on repetitive coding tasks.

Data Science 195

Data Science Azure Natural Language Processing Database 195

AWS Machine Learning Blog

DECEMBER 6, 2023

Such data often lacks the specialized knowledge contained in internal documents available in modern businesses, which is typically needed to get accurate answers in domains such as pharmaceutical research, financial investigation, and customer support. For example, imagine that you are planning next year’s strategy of an investment company.

SQL 126

SQL AWS Analytics Analytics 126

Towards AI

JULY 15, 2024

We shall look at various machine learning algorithms such as decision trees, random forest, K nearest neighbor, and naïve Bayes and how you can install and call their libraries in R studios, including executing the code. In-depth Documentation- R facilitates repeatability by analyzing data using a script-based methodology.

Machine Learning 119

Machine Learning Machine Learning Algorithm K-nearest Neighbors 119

IBM Data Science in Practice

JANUARY 2, 2025

Providers struggle with the administrative burden of documentation and coding, which consumes 2531% of total healthcare spending and detracts from their ability to deliver quality care. healthcare billing system is a maze of documentation, coding, and reimbursement processes that creates significant friction for providers.

AI 100

AI AI Machine Learning Machine Learning 100

Hacker News

SEPTEMBER 27, 2024

Collaborative text editing algorithms allow several users to concurrently modify a text file, and automatically merge concurrent edits into a consistent state. We introduce Eg-walker, a collaboration algorithm for text that avoids these weaknesses. Compared to OT, merging long-running branches is orders of magnitude faster.

Algorithm 138

Algorithm 138

AWS Machine Learning Blog

APRIL 29, 2025

The following example shows how prompt optimization converts a typical prompt for a summarization task on Anthropics Claude Haiku into a well-structured prompt for an Amazon Nova model, with sections that begin with special markdown tags such as ## Task, ### Summarization Instructions , and ### Document to Summarize.

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AWS ML ML AI 82

AWS Machine Learning Blog

NOVEMBER 15, 2024

Principal wanted to use existing internal FAQs, documentation, and unstructured data and build an intelligent chatbot that could provide quick access to the right information for different roles. As Principal grew, its internal support knowledge base considerably expanded.

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AWS AI AI Machine Learning 113

AWS Machine Learning Blog

OCTOBER 10, 2024

In addition to SageMaker enabling you to build your own models, Amazon SageMaker JumpStart offers built-in computer vision algorithms and pre-trained defect detection models that can be fine-tuned to your specific use case.

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AWS Machine Learning Machine Learning ML 93

Dataconomy

APRIL 28, 2025

It also reduces the time to value from a single API, eliminating the need for multiple web threat intelligence integrations into SIEM, SOAR, TIP, and security tooling. aM IntelligenceTM offers a comprehensive 360-degree threat intelligence for any domain or IP address. am-intelligence. am-intelligence.

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AI AI Algorithm 103

The MLOps Blog

DECEMBER 26, 2024

A users question is used as the query to retrieve relevant documents from a database. The documents returned by the search are added to the prompt that is passed to the LLM together with the users question. Overview of a baseline RAG system. The LLM uses the information in the prompt to generate an answer. Source What is LangChain?

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Database Python Clustering Machine Learning 96

Dataconomy

APRIL 17, 2025

Feature engineering encompasses a variety of techniques aimed at converting raw data into informative features that machine learning algorithms can utilize efficiently. High-quality features allow algorithms to recognize patterns and correlations in data more effectively. What is feature engineering?

Machine Learning 91

Machine Learning Machine Learning Data Scientist Algorithm 91