Dataconomy

SEPTEMBER 4, 2023

Text analytics: Text analytics, also known as text mining, deals with unstructured text data, such as customer reviews, social media comments, or documents. It uses natural language processing (NLP) techniques to extract valuable insights from textual data.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

ODSC - Open Data Science

MARCH 10, 2025

The Early Years: Laying the Foundations (20152017) In the early years, data science conferences predominantly focused on foundational topics like data analytics , visualization , and the rise of big data. The Deep Learning Boom (20182019) Between 2018 and 2019, deep learning dominated the conference landscape.

Data Science 52

Data Science Deep Learning Deep Learning Machine Learning 52

AWS Machine Learning Blog

NOVEMBER 1, 2024

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI , allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. This process involves updating the model’s weights to improve its performance on targeted applications.

Data Preparation 99

Data Preparation Machine Learning Machine Learning ML 99

DrivenData Labs

DECEMBER 10, 2023

Srinivas Alva is a Data Scientist at ZS Associates, specializing in the transformation of high-grade research into commercial solutions. degree in AI and ML specialization from Gujarat University, earned in 2019. His expertise and experience make him a valuable asset in the field of data science and Generative AI.

AI 147

AI AI Natural Language Processing Artificial Intelligence 147

AWS Machine Learning Blog

JULY 3, 2024

2019 Apr;179(4):561-569. Epub 2019 Jan 31. Data Scientist with 8+ years of experience in Data Science and Machine Learning. Factors affecting quality of life in children and adolescents with hypermobile Ehlers-Danlos syndrome/hypermobility spectrum disorders. Am J Med Genet A. doi: 10.1002/ajmg.a.61055.

AI 134

AI AI AWS Machine Learning 134

Heartbeat

JANUARY 23, 2023

Image from Hugging Face Hub Introduction Most natural language processing models are built to address a particular problem, such as responding to inquiries regarding a specific area. This restricts the applicability of models for understanding human language. Alex Warstadt et al. print("1-",qqp["train"].homepage)

Natural Language Processing 52

Natural Language Processing Deep Learning Deep Learning ML 52

AWS Machine Learning Blog

AUGUST 7, 2023

AWS received about 100 samples of labeled data from the customer, which is a lot less than the 1,000 samples recommended for fine-tuning an LLM in the data science community. The bertweet-base-hate model also uses the base BertTweet FM but is further pre-trained on 19,600 tweets that were deemed as hate speech 8 (Basile 2019).

AWS 98

AWS ML ML Data Science 98

AWS Machine Learning Blog

APRIL 29, 2024

This is a guest post co-authored with Ville Tuulos (Co-founder and CEO) and Eddie Mattia (Data Scientist) of Outerbounds. Historically, natural language processing (NLP) would be a primary research and development expense.

AWS 127

AWS ML ML Python 127

AWS Machine Learning Blog

SEPTEMBER 14, 2023

“Data locked away in text, audio, social media, and other unstructured sources can be a competitive advantage for firms that figure out how to use it“ Only 18% of organizations in a 2019 survey by Deloitte reported being able to take advantage of unstructured data. The majority of data, between 80% and 90%, is unstructured data.

AWS 123

AWS Machine Learning Machine Learning Data Scientist 123

Snorkel AI

MARCH 1, 2023

Foundation models are large AI models trained on enormous quantities of unlabeled data—usually through self-supervised learning. This process results in generalized models capable of a wide variety of tasks, such as image classification, natural language processing, and question-answering, with remarkable accuracy.

Natural Language Processing 83

Natural Language Processing Supervised Learning Machine Learning Machine Learning 83

Heartbeat

AUGUST 23, 2023

But what if there was a technique to quickly and accurately solve this language puzzle? Enter Natural Language Processing (NLP) and its transformational power. But what if there was a way to unravel this language puzzle swiftly and accurately?

Natural Language Processing 52

Natural Language Processing Algorithm Artificial Intelligence Artificial Intelligence 52

AWS Machine Learning Blog

APRIL 19, 2023

Our data scientists train the model in Python using tools like PyTorch and save the model as PyTorch scripts. The steps are as follows: Training the models – Our data scientists train the models using PyTorch and save the models as torch scripts. The DJL was created at Amazon and open-sourced in 2019.

ML 98

ML ML Deep Learning Deep Learning 98

Snorkel AI

MAY 24, 2023

chief data scientist, a role he held under President Barack Obama from 2015 to 2017. Bush, and has co-authored several books on data science. He leads corporate strategy for machine learning, natural language processing, information retrieval, and alternative data. Patil served as the first U.S.

Machine Learning 52

Machine Learning Machine Learning Computer Science Computer Science 52

Snorkel AI

MAY 24, 2023

chief data scientist, a role he held under President Barack Obama from 2015 to 2017. Bush, and has co-authored several books on data science. He leads corporate strategy for machine learning, natural language processing, information retrieval, and alternative data. Patil served as the first U.S.

Machine Learning 52

Machine Learning Machine Learning Computer Science Computer Science 52

Heartbeat

JUNE 6, 2023

In recent years, researchers have also explored using GCNs for natural language processing (NLP) tasks, such as text classification , sentiment analysis , and entity recognition. GCNs use a combination of graph-based representations and convolutional neural networks to analyze large amounts of textual data. Richong, Z.,

Natural Language Processing 59

Natural Language Processing Deep Learning Deep Learning Machine Learning 59

Explosion

NOVEMBER 21, 2019

Try the new interactive demo to explore similarities and compare them between 2015 and 2019 sense2vec (Trask et. First, we trained a new sense2vec model on the 2019 Reddit comments , which makes for an interesting contrast to the previous 2015 vectors. In 2019, it’s mostly used in the context of cutting off communication by “ghosting”.

Natural Language Processing 52

Natural Language Processing Data Scientist Machine Learning Machine Learning 52

AWS Machine Learning Blog

FEBRUARY 10, 2023

Advances in neural information processing systems 32 (2019). Visualizing data using t-SNE.” Haibo Ding is a senior applied scientist at Amazon Machine Learning Solutions Lab. He is broadly interested in Deep Learning and Natural Language Processing. “The Illustrated Transformer.” He obtained his Ph.D.

ML 98

ML ML Machine Learning Machine Learning 98

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 developed by Facebook AI Research and released in 2019.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

AWS Machine Learning Blog

SEPTEMBER 19, 2023

The SageMaker Feature Store Feature Processor reduces this burden by automatically transforming raw data into aggregated features suitable for batch training ML models. It lets engineers provide simple data transformation functions, then handles running them at scale on Spark and managing the underlying infrastructure.

ML 127

ML ML AWS SQL 127

Heartbeat

JANUARY 29, 2024

Imagine an AI system that becomes proficient in many tasks through extensive training on each specific problem and a higher-order learning process that distills valuable insights from previous learning endeavors. Natural Language Processing: With Meta-Learning, language models can be generalized across various languages and dialects.

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing Algorithm 52

Heartbeat

JUNE 28, 2023

ALBERT (A Lite BERT) is a language model developed by Google Research in 2019. Overall, The combination of ALBERT and knowledge distillation represents a powerful approach to natural language processing that can improve the efficiency of large-scale language models and make them more accessible to researchers and developers alike.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

Heartbeat

MARCH 15, 2023

Photo by Fatos Bytyqi on Unsplash Introduction Did you know that in the past, computers struggled to understand human languages? 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.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Snorkel AI

MAY 25, 2023

Large language models are foundation models (a kind of large neural network) that generate or embed text. The text they generate can be conditioned by giving them a starting point or “prompt,” enabling them to solve useful tasks expressed in natural language or code. OpenAI’s GPT-2, finalized in 2019 at 1.5

Natural Language Processing 52

Natural Language Processing Python Machine Learning Machine Learning 52

Snorkel AI

MAY 25, 2023

Large language models are foundation models (a kind of large neural network) that generate or embed text. The text they generate can be conditioned by giving them a starting point or “prompt,” enabling them to solve useful tasks expressed in natural language or code. OpenAI’s GPT-2, finalized in 2019 at 1.5

Natural Language Processing 52

Natural Language Processing Python Machine Learning Machine Learning 52

Mlearning.ai

JUNE 28, 2023

I came up with an idea of a Natural Language Processing (NLP) AI program that can generate exam questions and choices about Named Entity Recognition (who, what, where, when, why). I also got a lot more comfortable with working with huge data and therefore master the skills of a data scientist along the way.

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing AI 52

The MLOps Blog

APRIL 5, 2023

These teams may include but are not limited to data scientists, software developers, machine learning engineers, and DevOps engineers. However, this collaborative process can often pose challenges regarding model packaging. Modularize the model Another approach to dealing with model complexity is modularization. Brownlee, J.

ML 69

ML ML Machine Learning Machine Learning 69

Explosion

MARCH 17, 2019

of the spaCy Natural Language Processing library includes a huge number of features, improvements and bug fixes. spaCy is an open-source library for industrial-strength natural language processing in Python. Maybe you’re a grad student working on a paper, maybe you’re a data scientist working on a prototype.

Python 52

Python Natural Language Processing Deep Learning Deep Learning 52

Smart Data Collective

JUNE 22, 2025

More Read How BI & Data Analytics Pros Used Twitter in May Pageviews are Dead, Engagement is King Can AI Help You Get Better Headshots? Meet the New Era: AI Web Scraper Technology for Data Teams So, what exactly is an AI web scraper ? There are not many industries left untouched by this trend. Followers Like 33.7k

Artificial Intelligence 95

Artificial Intelligence Artificial Intelligence Big Data Big Data 95

Kaggle

JULY 29, 2020

With sports (and everything else) cancelled, this data scientist decided to take on COVID-19 | A Winner’s Interview with David Mezzetti When his hobbies went on hiatus, Kaggler David Mezzetti made fighting COVID-19 his mission. He previously co-founded and built Data Works into a 50+ person well-respected software services company.

ETL 71

ETL Data Scientist Data Science Machine Learning 71

DrivenData Labs

DECEMBER 7, 2023

His main research interests revolve around applications of Network Analysis and Natural Language Processing methods. Artem has versatile experience in working with real-life data from different domains and was involved in several data science projects at the World Bank and the University of Oxford.

Natural Language Processing 130

Natural Language Processing Clustering Data Science Data Analysis 130

AWS Machine Learning Blog

OCTOBER 11, 2024

data # Assing local directory path to a python variable local_data_path = ". . Isaac Privitera is a Principal Data Scientist with the AWS Generative AI Innovation Center, where he develops bespoke generative AI-based solutions to address customers’ business problems.

Database 106

Database AWS Clustering Data Lakes 106

AWS Machine Learning Blog

NOVEMBER 11, 2024

Data scientists and developers can quickly prototype and experiment with various ML use cases, accelerating the development and deployment of ML applications. It has been held at the All England Club in Wimbledon, London, since 1877 and is played on outdoor grass courts, with retractable roofs over the two main courts since 2019.

AI 117

AI AI ML ML 117