ODSC - Open Data Science

MARCH 10, 2025

Over the past decade, data science has undergone a remarkable evolution, driven by rapid advancements in machine learning, artificial intelligence, and big data technologies. This blog dives deep into these changes of trends in data science, spotlighting how conference topics mirror the broader evolution of datascience.

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Data Science Neural Network Convolutional Neural Networks Large Language Models 52

AWS Machine Learning Blog

JANUARY 19, 2024

In this post, we demonstrate how to use neural architecture search (NAS) based structural pruning to compress a fine-tuned BERT model to improve model performance and reduce inference times. First, we use an Amazon SageMaker Studio notebook to fine-tune a pre-trained BERT model on a target task using a domain-specific dataset.

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AWS Machine Learning Blog

APRIL 4, 2025

To achieve this, Lumi developed a classification model based on BERT (Bidirectional Encoder Representations from Transformers) , a state-of-the-art natural language processing (NLP) technique. They fine-tuned this model using their proprietary dataset and in-house data science expertise.

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Mlearning.ai

JUNE 7, 2023

In 2018 when BERT was introduced by Google, I cannot emphasize how much it changed the game within the NLP community. This ability to understand long-range dependencies helps transformers better understand the context of words and achieve superior performance in natural language processing tasks.

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Natural Language Processing BERT NLP ChatGPT 52

ODSC - Open Data Science

JUNE 9, 2023

Once a set of word vectors has been learned, they can be used in various natural language processing (NLP) tasks such as text classification, language translation, and question answering. ELMo, on the other hand, is only pre-trained on a smaller amount of text data and is not fine-tuned.

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ODSC - Open Data Science

FEBRUARY 17, 2023

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. The chart below shows 20 in-demand skills that encompass both NLP fundamentals and broader data science expertise.

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NLP Data Science Deep Learning BERT 111

Towards AI

DECEMBER 28, 2023

GenAI I serve as the Principal Data Scientist at a prominent healthcare firm, where I lead a small team dedicated to addressing patient needs. Over the past 11 years in the field of data science, I’ve witnessed significant transformations. In 2023, we witnessed the substantial transformation of AI, marking it as the ‘year of AI.’

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Large Language Models Natural Language Processing Deep Learning Prompt Engineering 122

NVIDIA Developer

JUNE 2, 2021

Applications for natural language processing (NLP) have exploded in the past decade. With the proliferation of AI assistants and organizations infusing their businesses with more interactive human-machine experiences, understanding how NLP techniques can be used to manipulate, analyze, and generate text-based data is essential.

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Heartbeat

SEPTEMBER 20, 2023

Pixabay: by Activedia Image captioning combines natural language processing and computer vision to generate image textual descriptions automatically. This integration combines visual features extracted from images with language models to generate descriptive and contextually relevant captions.

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IBM Journey to AI blog

AUGUST 1, 2023

A foundation model is built on a neural network model architecture to process information much like the human brain does. A specific kind of foundation model known as a large language model (LLM) is trained on vast amounts of text data for NLP tasks. An open-source model, Google created BERT in 2018.

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IBM Journey to AI blog

FEBRUARY 13, 2024

They are now capable of natural language processing ( NLP ), grasping context and exhibiting elements of creativity. Innovators who want a custom AI can pick a “foundation model” like OpenAI’s GPT-3 or BERT and feed it their data.

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Unite.AI

NOVEMBER 6, 2023

For instance, neural networks used for natural language processing tasks (like text summarization, question answering, and translation) are known as transformers. Prominent transformer models include BERT , GPT-4 , and T5.

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Machine Learning Neural Network Deep Learning Convolutional Neural Networks 204

Heartbeat

MARCH 15, 2023

But now, a computer can be taught to comprehend and process human language through Natural Language Processing (NLP), which was implemented, to make computers capable of understanding spoken and written language. It has a state-of-the-art language representation model developed by Facebook AI.

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ODSC - Open Data Science

APRIL 5, 2023

Natural Language Processing (NLP) tasks involve analyzing, understanding, and generating human language. However, the first step in any NLP task is to pre-process the text for training. Load the pre-trained language model: Load the pre-trained language model that you want to customize.

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NLP Natural Language Processing Data Science BERT 86

Towards AI

FEBRUARY 10, 2025

RoBERTa is an optimized variant of BERT, designed to improve the pretraining process and fine-tune hyperparameters, leading to enhanced performance across a wide range of natural language processing tasks. Both challenges will be addressed using RoBERTa, a state-of-the-art Transformer-based machine learning model.

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NLP Natural Language Processing BERT Data Extraction 72

Artificial Corner

JUNE 18, 2023

ChatGPT released by OpenAI is a versatile Natural Language Processing (NLP) system that comprehends the conversation context to provide relevant responses. Although little is known about construction of this model, it has become popular due to its quality in solving natural language tasks.

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ChatGPT Natural Language Processing BERT NLP 105

AWS Machine Learning Blog

FEBRUARY 6, 2024

Transformers, BERT, and GPT The transformer architecture is a neural network architecture that is used for natural language processing (NLP) tasks. BERT can be fine-tuned for a variety of NLP tasks, including question answering, natural language inference, and sentiment analysis.

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Large Language Models BERT NLP Data Scientist 115

NYU Center for Data Science

JUNE 30, 2023

To learn more about how NYUTron was developed along with the limitations and possibilities of AI support tools for healthcare providers, CDS spoke with Lavender Jiang , PhD student at the NYU Center for Data Science and lead author of the study. Read our Q&A with Lavender below!

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Large Language Models Natural Language Processing NLP BERT 114

Marktechpost

MARCH 27, 2024

However, sifting through thousands of text-based reviews across multiple platforms and languages can be overwhelming and time-consuming, often leaving valuable insights buried beneath the sheer volume of data. and 86% accuracy, respectively, outperforming state-of-the-art baselines like BERT and RoBERTa.

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Machine Learning Large Language Models Software Development Natural Language Processing 137

Pickl AI

SEPTEMBER 23, 2024

Summary: The blog explores the synergy between Artificial Intelligence (AI) and Data Science, highlighting their complementary roles in Data Analysis and intelligent decision-making. Introduction Artificial Intelligence (AI) and Data Science are revolutionising how we analyse data, make decisions, and solve complex problems.

Data Science 52

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 52

Towards AI

JULY 20, 2023

Natural Language Processing Getting desirable data out of published reports and clinical trials and into systematic literature reviews (SLRs) — a process known as data extraction — is just one of a series of incredibly time-consuming, repetitive, and potentially error-prone steps involved in creating SLRs and meta-analyses.

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Data Extraction NLP Natural Language Processing Automation 98

Unite.AI

AUGUST 28, 2023

With advancements in deep learning, natural language processing (NLP), and AI, we are in a time period where AI agents could form a significant portion of the global workforce. Systems like ChatGPT by OpenAI, BERT, and T5 have enabled breakthroughs in human-AI communication.

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ODSC - Open Data Science

APRIL 28, 2023

Be sure to check out his talk, “ Bagging to BERT — A Tour of Applied NLP ,” there! If a Natural Language Processing (NLP) system does not have that context, we’d expect it not to get the joke. Since 2014, he has been working in data science for government, academia, and the private sector.

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ODSC - Open Data Science

APRIL 11, 2023

From Big Data to NLP insights: Getting started with PySpark and Spark NLP The amount of data being generated today is staggering and growing. Apache Spark has emerged as the de facto tool to analyze big data over the last few years and is now a critical part of the data science toolbox.

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NLP Data Science Large Language Models Data Scientist 96

Towards AI

JULY 21, 2023

Ivan Aivazovsky — Istanbul NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 09.06.20 Last Updated on July 21, 2023 by Editorial Team Author(s): Ricky Costa Originally published on Towards AI. Revival Welcome back, and what a week?!?! Time to say goodbye to Summer. ? if you enjoy the read!

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Marktechpost

JULY 3, 2023

From deep learning, Natural Language Processing (NLP), and Natural Language Understanding (NLU) to Computer Vision, AI is propelling everyone into a future with endless innovations. It is a potent model for comprehending and processing natural language with 340 million parameters.

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Large Language Models Natural Language Processing LLM BERT 98

Heartbeat

SEPTEMBER 12, 2023

Implementing end-to-end deep learning projects has never been easier with these awesome tools Image by Freepik LLMs such as GPT, BERT, and Llama 2 are a game changer in AI. But you need to fine-tune these language models when performing your deep learning projects. You can build AI tools like ChatGPT and Bard using these models.

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Unite.AI

FEBRUARY 23, 2024

The journey continues with “NLP and Deep Learning,” diving into the essentials of Natural Language Processing , deep learning's role in NLP, and foundational concepts of neural networks. ChatGPT for Productivity showcases the use of ChatGPT in various fields such as data science, marketing, and project management.

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Prompt Engineer Prompt Engineering Large Language Models ChatGPT 272

Towards AI

APRIL 12, 2023

Soon to be followed by large general language models like BERT (Bidirectional Encoder Representations from Transformers). In the last few years, if you google healthcare or clinical NLP, you would see that the search results are blanketed by a few names like John Snow Labs (JSL), Linguamatics (IQVIA), Oncoustics, BotMD, Inspirata.

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ODSC - Open Data Science

FEBRUARY 14, 2023

Some examples of large language models include GPT (Generative Pre-training Transformer), BERT (Bidirectional Encoder Representations from Transformers), and RoBERTa (Robustly Optimized BERT Approach). You can also get data science training on-demand wherever you are with our Ai+ Training platform.

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ODSC - Open Data Science

MAY 21, 2024

With the challenges of immense volumes of textual data today, the field of Natural Language Processing (NLP) is rapidly evolving. These models leverage massive amounts of text to learn a broad range of language patterns and nuances, which can then be applied to a variety of NLP tasks without domain-specific tuning.

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ODSC - Open Data Science

JANUARY 17, 2025

Instead, they are trained on vast amounts of text data using self-supervised learning, which enables them to implicitly learn patterns, including various forms of intent, through the context of the trainingdata.

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NLP Natural Language Processing BERT Chatbots 40

Snorkel AI

SEPTEMBER 21, 2023

The medical industry is exploding with data. The increasing universality of electronic health records (EHRs) , the maturity of genomic data science, and the growing popularity of wearable devices and health apps have created an enormous influx of data for both practitioners and researchers. Chat with us today!

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ODSC - Open Data Science

JANUARY 4, 2024

Top Large Language Models of 2023 LLaMa : LLaMa (Language Model for Academic Applications) is a large language model from Google AI. It’s designed specifically for natural language processing tasks in the academic domain, such as summarization, question answering, and text classification. Get yours today!

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Large Language Models BERT Data Science Natural Language Processing 52

Heartbeat

OCTOBER 10, 2023

One of the most popular techniques for speech recognition is natural language processing (NLP), which entails training machine learning models on enormous amounts of text data to understand linguistic patterns and structures. It was pre-trained on a more extensive and diverse data set to address this.

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Heartbeat

JULY 19, 2023

source: author Introduction Sentiment analysis is a rapidly growing field within the Natural Language Processing (NLP) domain, which deals with the automatic analysis and classification of emotions and opinions expressed in text. dplyr: This is a package for data manipulation and cleaning in R.

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Snorkel AI

JANUARY 12, 2023

While a majority of Natural Language Processing (NLP) models focus on English, the real world requires solutions that work with languages across the globe. Labeling data from scratch for every new language would not scale, even if the final architecture remained the same.

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