ODSC - Open Data Science

JUNE 13, 2023

The usage of social media platforms is on an ever rise and consequently the data generated on the platforms. It is important for data practitioners, consumers, and companies that make use of this data to understand where it comes from and how it is consumed by content creators, content consumers, and businesses.

Data Science 52

Data Science Natural Language Processing Python Machine Learning 52

Smart Data Collective

FEBRUARY 15, 2022

Artificial intelligence is a game-changer in the fight against plagiarized content. AI is an important way to vet content or academic papers. In the past, people usually plagiarized content out of books. Most content is readily available online. Towards Data Science has an article dedicated to this topic. “So,

Artificial Intelligence 115

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Heartbeat

DECEMBER 7, 2023

type(doc) # llmsherpa.readers.layout_reader.Document Retrieving Chunks from the PDF The chunks method provides coherent pieces or segments of content from the parsed PDF. for table in doc.tables(): print(table.to_text()) Accessing Sections of the PDF The sections method allows you to segment the content of the parsed PDF.

Deep Learning 52

Deep Learning Deep Learning ML ML 52

Data Science Dojo

JANUARY 19, 2024

Here are some key real-world applications: Facial recognition : Neural networks are used in facial recognition technologies, which are prevalent in security systems, smartphone unlocking, and social media for tagging photos.

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Pickl AI

MAY 7, 2023

Facial Recognition With the DeepFace technology, Facebook analyses the image and, based on it, recommends the name of the friends for tagging. Targeted Advertising Advertising is one of the areas where Facebook uses Big Data technology to promote several businesses. It’s actually Big Data technologies.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

AWS Machine Learning Blog

APRIL 24, 2024

In the following example, the user specifically provided the adequate document and content to correct the LLM hallucination. First think through your answer inside of tags, then assign a score between 0.0 Answer the score inside of tags. Also provide the reason to give this score inside of tags.

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Data Science Dojo

AUGUST 8, 2023

10 steps to become a prompt engineer – Source: Data Science Dojo Roadmap to becoming a prompt engineer Becoming a proficient prompt engineer requires following a structured path and gaining expertise in various areas. Register now for Data Science Dojo’s Large Language Model Bootcamp!

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ODSC - Open Data Science

JANUARY 29, 2024

They design intricate sequences of prompts, leveraging their knowledge of AI, machine learning, and data science to guide powerful LLMs (Large Language Models) towards complex tasks. Data science methodologies and skills can be leveraged to design these experiments, analyze results, and iteratively improve prompt strategies.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

Mlearning.ai

JULY 2, 2023

Brace yourself as we embark on an extraordinary journey through this all-encompassing compendium, where we shall delve into the very essence of Django’s core functionalities, uncover invaluable best practices, and witness its boundless potential in analytics, data science, and the captivating realm of web development.

Data Science 52

Data Science Python Analytics Analytics 52

Dataconomy

SEPTEMBER 22, 2023

Data archiving is the systematic process of securely storing and preserving electronic data, including documents, images, videos, and other digital content, for long-term retention and easy retrieval. Regular backups of the archived data are made to protect against loss or corruption.

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Towards AI

FEBRUARY 25, 2023

Through each exercise, you’ll learn important data science skills as well as “best practices” for using pandas. By the end of the tutorial, you’ll be more fluent at using pandas to correctly and efficiently answer your own data science questions.

Data Analysis 96

Data Analysis Data Analysis Exploratory Data Analysis Data Science 96

IBM Journey to AI blog

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. Part-of-speech (POS) tagging: POS tagging facilitates semantic analysis by assigning grammatical tags to words (e.g., It also automates tasks like information extraction and content categorization.

Machine Learning 57

Machine Learning Machine Learning Data Mining Data Mining 57

Heartbeat

JULY 11, 2023

Photo by Oleg Laptev on Unsplash By improving many areas of content generation, optimization, and analysis, natural language processing (NLP) plays a crucial role in content marketing. Content Optimization : Sentiment analysis can guide content creation and optimization efforts.

Natural Language Processing 40

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AWS Machine Learning Blog

AUGUST 2, 2023

Amazon Kendra reimagines search for your websites and applications so your employees and customers can easily find the content they are looking for, even when it’s scattered across multiple locations and content repositories within your organization. Amazon Kendra is an intelligent search service powered by machine learning (ML).

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Pickl AI

MARCH 27, 2023

It includes methods like sentiment analysis, part-of-speech tags and others. Model Training Since you now have the preprocessed and represented text data, you can now train a machine-learning model. This eventually helps in making better decision making based on apt data analysis. And so Feature Engineering focuses on the same.

Natural Language Processing 52

Natural Language Processing Data Analysis Data Analysis Machine Learning 52

Smart Data Collective

MARCH 5, 2022

Are you a data scientist ? Even if you already have a full-time job in data science, you will be able to leverage your expertise as a big data expert to make extra money on the side. Ways that Data-Savvy People Can Make Money with Side Hustles This Year. It uses complex data analytics features.

Data Scientist 134

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Heartbeat

NOVEMBER 22, 2023

Table of Contents Introduction I. Use delimiters such as triple quotes (“‘xxx’”), triple backticks (```), triple dashes ( — -), angle brackets (< >), and XML tags. context = [{'role': 'system', 'content': f""" You are ShopBot, an AI assistant for my online fashion shop - Nhi Yen.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Snorkel AI

SEPTEMBER 29, 2023

At a basic level, data labeling prepares data sets to teach models what inputs correspond to which outputs. This process takes raw documents, files, or tabular records and adds one or more tags or labels to each. This approach applies across all data modalities. Whether the data must remain private.

Machine Learning 59

Machine Learning Machine Learning ML ML 59

Pickl AI

AUGUST 1, 2023

The surge of digitization and its growing penetration across the industry spectrum has increased the relevance of text mining in Data Science. Text mining is primarily a technique in the field of Data Science that encompasses the extraction of meaningful insights and information from unstructured textual data.

Data Analysis 52

Data Analysis Data Analysis Python Support Vector Machines 52

Towards AI

FEBRUARY 20, 2024

Instead of being told how to perform a task, they learn from data and improve their performance over time. This ability empowers them to identify patterns, make predictions, and even generate creative content. Recommender systems: Suggesting products or content you might like based on your past behavior.

Machine Learning 84

Machine Learning Machine Learning ML ML 84

Snorkel AI

APRIL 24, 2024

In the case of document intelligence, FMs can struggle to understand the content due to complex layouts, varying formats, or the need for additional pre-processing (especially for scanned documents). To go from starting point to production-ready, data scientists must further develop their data. Book a demo today.

Data Scientist 52

Data Scientist AI AI Machine Learning 52

Snorkel AI

APRIL 24, 2024

In the case of document intelligence, FMs can struggle to understand the content due to complex layouts, varying formats, or the need for additional pre-processing (especially for scanned documents). To go from starting point to production-ready, data scientists must further develop their data. Book a demo today.

Data Scientist 52

Data Scientist AI AI Machine Learning 52

AWS Machine Learning Blog

FEBRUARY 29, 2024

response = retrieve(query, kb_id, 3) retrievalResults = response["retrievalResults"] >>> [ { "content": {"text": "You will not be charged for any procedures that."}, "location": {"type": "S3", "s3Location": {"uri": "s3://XXXXX/XXXX.pdf"}}, "score": 0.6552521, }, { "content": {"text": "and possible benefits of the study.

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Mlearning.ai

FEBRUARY 18, 2023

with sdk v2 import libraries import tqdm import matplotlib.pyplot as plt import numpy as np import pandas as pd import seaborn as sns sns.set_style("whitegrid") import the data set # Import required libraries from azure.identity import DefaultAzureCredential from azure.identity import AzureCliCredential from azure.ai.ml

Azure 52

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Mlearning.ai

JUNE 29, 2023

Table of Contents Introduction to CORENLP Installing CORENLP Language Support in CORENLP Annotators in CORENLP Running CORENLP on Sample Text Integrating CORENLP with Machine Learning Models Text Preprocessing with CORENLP Sentiment Analysis using CORENLP Named Entity Recognition using CORENLP Advanced NLP Techniques with CORENLP 1.

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing Algorithm 52

Mlearning.ai

FEBRUARY 17, 2023

Contents of this article What is MLflow? MLflow concept MLflow components MLflow consists of 4 compartments including Tracking: logging parameters, code, metrics, and files such as images, and data sets. Projects: packaging data science code in a reusable and reproducible way. Add tags to run. Why use MLflow?

Machine Learning 52

Machine Learning Machine Learning Python Database 52

Women in Big Data

DECEMBER 13, 2023

With a robust educational foundation in Computer Science, Mathematics, and Statistics, she brings over 12 years of expertise across Research, Academia, and Industry. Currently based in Germany, she possesses extensive experience in developing data-intensive applications leveraging NLP, data science, and data analytics.

Natural Language Processing 52

Natural Language Processing Big Data Big Data Computer Science 52

Dataconomy

AUGUST 23, 2023

Copy AI is offering users a seamless experience in crafting diverse content. Copy AI uses the power of artificial intelligence to craft a multitude of content, be it blog headlines, emails, social media blurbs, or website copy. Ever had snippets of information or company details you wished you could quickly insert into your content?

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Data Science Blog

NOVEMBER 8, 2022

Das erste Argument ist die Aktion build , das zweite und dritte beziehen sich auf den Tag des Images und das vierte gibt den Ort vor an dem nach dem Dockerfile gesucht wird Veröffentlichen des Container Images in die Artifact Registry mittels des Cloud Build Docker Tools. Als Argumente werden die Aktion push und das Ziel mitgegeben.

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Mlearning.ai

JULY 17, 2023

a consulting firm for brain-inspired data science. s research demonstrates a more accurate (and, for data science, a more useful) characterization of the specialized functions of each hemisphere. He is also the Founder and CEO of Computational Neurosciences, Inc., Goldberg, et al.’s

Machine Learning 52

Machine Learning Machine Learning Data Scientist AI 52

Smart Data Collective

MARCH 23, 2022

Evan Morris of Towards Data Science discussed this in one of his recent articles. AI tools can crawl websites and inspect images to make sure they all contain alt tags for people that can’t view the images. AI technology has made it easier to conform to ADA standards. Morris points out that AI helps with automated testing.

AI 101

AI AI Artificial Intelligence Artificial Intelligence 101

Towards AI

APRIL 18, 2023

Clustering / Tagging / Grouping of documents. The blog posts are rich in content and in the number of words used, a good realistic corpus for our example. By extending the support of ChunkDot to sparse matrices, ChunkDot can help scale up these calculations and support uses cases like: Deduplication of documents.

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Algorithm Clustering Python AI 82

AWS Machine Learning Blog

DECEMBER 13, 2023

We create an automated model build pipeline that includes steps for data preparation, model training, model evaluation, and registration of the trained model in the SageMaker Model Registry. However, make sure that the token has access to the repository’s contents and actions (workflows, runs, and artifacts). Choose Review.

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AWS ML ML Data Preparation 102

Explosion

JANUARY 29, 2023

we started using logits during inference, which resulted in speedups of 27% when using a tagging + parsing pipeline. In order to modularize content for reuse, The Guardian’s data science team developed a spaCy-Prodigy NER workflow for quote extraction. In spaCy v3.3,

Python 59

Python Data Scientist Machine Learning Machine Learning 59

AWS Machine Learning Blog

JULY 25, 2023

Generative AI is a type of AI that can create new content and ideas, including conversations, stories, images, videos, and music. It is all backed by very large models that are pre-trained on vast amounts of data and commonly referred to as foundation models (FMs). In the notebook, choose the image as Data Science 3.0

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IBM Journey to AI blog

APRIL 18, 2024

AI systems like LaMDA and GPT-3 excel at generating human-quality text, accomplishing specific tasks, translating languages as needed, and creating different kinds of creative content. While cost wasn’t the primary driver, it reflects a growing belief that the value generated by gen AI outweighs the price tag.

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AI AI Computer Science Computer Science 95

DataRobot Blog

JUNE 16, 2022

To make it available, download the DAG file from the repository to the dags/ directory in your project (browse GitHub tags to download to the same source code version as your installed DataRobot provider) and refresh the page. Multipersona Data Science and Machine Learning (DSML) Platforms. Run DataRobot Pipeline. References. *

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