Analytics Vidhya

MARCH 22, 2023

Introduction Source: App Inventiv Like other industries, 2020 (the COVID-19 pandemic) was a rough patch for the insurance industry. But even then, the phase proved to be a turning point that reinforced the importance of technology, especially Machine Learning and Artificial Intelligence.

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Smart Data Collective

NOVEMBER 25, 2019

Here are the six trends you should be aware of that will reshape business intelligence in 2020 and throughout the new decade. Natural Language Processing and Report Generation. How Business Intelligence Will Change in 2020. New Avenues of Data Discovery.

Business Intelligence 108

Business Intelligence Business Intelligence Predictive Analytics Natural Language Processing 108

Data Science 101

MARCH 24, 2020

A primer in BERTology Bidirectional Encoder Representations from Transformers (BERT) is a language representation model for Natural Language Processing. The post Data Science Papers for Spring 2020 appeared first on Data Science 101. Original BERT paper can be found here. It includes a survey of the TensorFlow.js

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Mlearning.ai

JUNE 7, 2023

This ability to understand long-range dependencies helps transformers better understand the context of words and achieve superior performance in natural language processing tasks. billion parameters, and then GPT-3 arrived in 2020 with a whopping 175 billion parameters!! GPT-2 released with 1.5

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Data Science Dojo

MAY 27, 2024

Released in 2020, AlphaFold leverages deep learning algorithms to accurately predict the 3D structure of proteins from their amino acid sequences, outperforming traditional methods by a significant margin.

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Data Science Dojo

JANUARY 20, 2023

” -DSD- Nothing can compare to Michael Jordan’s announcement in 1995 that he was returning to the NBA, but for Data Science Dojo (DSD), this comes close. In 2020, we had to move our in-person Data Science Bootcamp curriculum to an online format.

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Dataconomy

FEBRUARY 26, 2024

LPUs: The language specialists Language Processing Units represent the cutting edge in AI processor technology, with a design ethos deeply rooted in natural language processing (NLP) tasks.

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Dataconomy

DECEMBER 15, 2023

It marked a significant advancement in natural language processing and understanding. GPT-3 (June 2020) : OpenAI made headlines with the release of GPT-3 , a giant with 175 billion parameters. GPT-2 (February 2019) : Building on the success of GPT-1, OpenAI released GPT-2, a model with a staggering 1.5

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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. GPT-3 (2020) This was the most recent and largest general GPT model, with 175 billion parameters.

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KDnuggets

JANUARY 7, 2020

Follow this overview of Natural Language Generation covering its applications in theory and practice. The evolution of NLG architecture is also described from simple gap-filling to dynamic document creation along with a summary of the most popular NLG models.

Natural Language Processing 400

Natural Language Processing 400

Data Science 101

MARCH 24, 2020

A primer in BERTology Bidirectional Encoder Representations from Transformers (BERT) is a language representation model for Natural Language Processing. The post Data Science Papers for Spring 2020 appeared first on Ryan Swanstrom. This paper looks into the inner workings of BERT and potential research directions.

Data Science 52

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Flipboard

MAY 10, 2023

They have published upwards of 1,000 research papers in the fields of natural language processing , computer vision , common sense reasoning , and other key components of artificial intelligence. Researchers help startup founders at the incubator test ideas and develop and train AI models.

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Tableau

MAY 26, 2021

In its inaugural year, our bureau grew to 190 members across more than 50 customers, including 25 speakers at Tableau Conference 2020. Ask Data and natural language processing (NLP). Tableau Live Asia 2020. Tableau Conference 2020. Sounds awesome, right? What types of stories do we want to tell? No problem!

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Smart Data Collective

SEPTEMBER 30, 2021

Despite all the unexpected events we’ve witnessed in 2020, artificial intelligence wasn’t much affected by the pandemic and everything that was happening as a consequence of it across the globe. Applied Natural Language Processing. Fully Automated Driving. Quantum Computing.

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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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AWS Machine Learning Blog

DECEMBER 14, 2023

Our pipeline belongs to the general ETL (extract, transform, and load) process family that combines data from multiple sources into a large, central repository. The following is the sample code to schedule a SageMaker Processing job for a specified day, for example 2020-01-01, using the SageMaker SDK. session.Session().region_name

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Explosion

DECEMBER 30, 2020

While 2020 hasn’t been easy for anyone, at Explosion we’ve considered ourselves relatively fortunate in this most interesting year. Dec 4: For KDNuggets , Ines shared her perspective on AI and Machine Learning developments in 2020 and key trends for 2021. ? Here’s a look back at what we’ve been up to.

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Hacker News

NOVEMBER 15, 2023

The court clerk of AI is a process called retrieval-augmented generation, or RAG for short. That’s when researchers in information retrieval prototyped what they called question-answering systems, apps that use natural language processing ( NLP ) to access text, initially in narrow topics such as baseball.

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Mlearning.ai

APRIL 8, 2023

Charting the evolution of SOTA (State-of-the-art) techniques in NLP (Natural Language Processing) over the years, highlighting the key algorithms, influential figures, and groundbreaking papers that have shaped the field. Evolution of NLP Models To understand the full impact of the above evolutionary process.

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ODSC - Open Data Science

APRIL 3, 2023

Question Answering is the task in Natural Language Processing that involves answering questions posed in natural language. Her main research interests are in machine learning for large-scale language understanding and text semantics. Don’t worry, you’re not alone! Iryna’s work has received numerous awards.

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Flipboard

NOVEMBER 20, 2024

She leads machine learning projects in various domains such as computer vision, natural language processing, and generative AI. With a strong background in machine learning and natural language processing, Ishan specializes in developing safe and responsible AI systems that drive business value.

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Towards AI

JULY 21, 2023

Photo by Kunal Shinde on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 08.09.20 Language diversity Estimate the language diversity of the sample of languages you are studying (Ponti et al., Research Work on methods that address the challenges of low-resource languages.

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Smart Data Collective

NOVEMBER 24, 2020

In this article, you’ll discover: upcoming trends in business intelligence what benefits will BI provide for businesses in 2020 and on? Natural Language Processing (NLP). Special feature: in-memory storage to boost data processing. Future of BI: What Does it Hold? Advantage: unpaired control over data. .

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Smart Data Collective

APRIL 22, 2020

In March 2020, a team of researchers from Tsinghua University, the Jiangsu Provincial Center for Disease Control and the Shanghai Institute of Materia Medica announced they had found a promising vaccine candidate for COVID-19. Scientists build these knowledge graphs using natural language processing and machine learning.

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Dataconomy

AUGUST 10, 2023

With the application of natural language processing (NLP) and machine learning algorithms, AI systems can understand and translate spoken language into written notes. It can also help with retrieving information from electronic health records (EHRs) and other tasks to alleviate administrative burdens.

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Console DevTools podcast

JULY 13, 2022

In this episode we speak to Ines Montani, co-founder and CEO of Explosion , a developer of Artificial Intelligence and Natural Language Processing technologies. In 2020, Montani became a Fellow of the Python Software Foundation.

Data Science 40

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Flipboard

FEBRUARY 16, 2023

Natural language processing ( NLP ), while hardly a new discipline, has catapulted into the public consciousness these past few months thanks in large part to the generative AI hype train that is ChatGPT. million ($2.9

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Mlearning.ai

FEBRUARY 19, 2023

You don’t need to have a PhD to understand the billion parameter language model GPT is a general-purpose natural language processing model that revolutionized the landscape of AI. GPT-3 is a autoregressive language model created by OpenAI, released in 2020 . What is GPT-3?

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NYU Center for Data Science

SEPTEMBER 21, 2023

During my MS at NYU, I did an internship at NYU’s Center for Social Media and Politics , and was introduced to my advisor, He He , which was how I started getting interested in natural language processing. Then in 2020, I started my PhD. The introduction of large language models changed the direction of your research?

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IBM Journey to AI blog

NOVEMBER 10, 2023

Just in 2020, the Centers for Medicare and Medicaid Services (CMS) published a rule for healthcare systems whereby patients, providers, and payers must be able to easily exchange information. In the US, these inefficiencies contribute to an increasing healthcare system waste and challenges delivering cost-effective quality care.

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AWS Machine Learning Blog

APRIL 3, 2023

We also demonstrate how you can engineer prompts for Flan-T5 models to perform various natural language processing (NLP) tasks. A myriad of instruction tuning research has been performed since 2020, producing a collection of various tasks, templates, and methods. encode("utf-8") client = boto3.client("runtime.sagemaker")

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Becoming Human

MARCH 17, 2023

Trends resonate with Gartner predictions : about 25% customer service operations relying on virtual assistants by the year 2020 may reach the USD 11.5 That makes 47.3 million adults, or about 20% of the US population. billion mark by the year 2024. This report indicates that speech recognition will grow by USD 7.5

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Defined.ai blog

JANUARY 19, 2023

While the US has a comparative advantage in several AI areas, such as AI services, audio and natural language processing, robotics, and connected and automated vehicles, one factor giving China its competitive edge is its access to big data, the fuel of AI development. One of this AI projects is Accelerat.ai,a

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Applied Data Science

AUGUST 2, 2021

They bring deep expertise in machine learning , clustering , natural language processing , time series modelling , optimisation , hypothesis testing and deep learning to the team. The most common data science languages are Python and R   —  SQL is also a must have skill for acquiring and manipulating data.

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Towards AI

AUGUST 25, 2023

Brownlee, “ Applied Machine Learning Process,” Machine Learning Mastery, Feb. 16, 2020. [4] Natural Language Processing with Python — Analyzing Text with the Natural Language Toolkit. Speech and Language Processing. 12, 2014. [3] 12, 2021. [6] O’Reilly Media, ISBN: 978–1491957660, 2017.

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Smart Data Collective

JANUARY 20, 2020

Most of these tools include NLP or natural Language processing tools which help companies audit the existing content marketing strategies. All things aside, the real focus of blogging should be towards increasing ROI and this is where AI-empowered tools come into the scheme of things.

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Towards AI

JULY 20, 2023

Jerome in his Study | Durer NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER The NLP Cypher | 03.14.21 Byte2Speech Framework adopts the multi-lingual and multi-speaker transformer TTS framework in Yang & He (2020), and extends it to byte inputs. FYI, not the same as DeepMind’s Math dataset.

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