Data Science 101

MARCH 24, 2020

Quantifying the Carbon Emissions of Machine Learning Training a neural network can take a lot of computer processing power. This processing power comes at a cost to the environment. The post Data Science Papers for Spring 2020 appeared first on Data Science 101. Original BERT paper can be found here.

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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. Just because the bootcamp ends, doesn’t mean your education does.

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NYU Center for Data Science

SEPTEMBER 28, 2023

It’s a pivotal time in Natural Language Processing (NLP) research, marked by the emergence of large language models (LLMs) that are reshaping what it means to work with human language technologies. He’s research also touches on robustness, truthfulness, alignment, and human collaboration.

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Dataconomy

FEBRUARY 26, 2024

GPUs: The versatile powerhouses Graphics Processing Units, or GPUs, have transcended their initial design purpose of rendering video game graphics to become key elements of Artificial Intelligence (AI) and Machine Learning (ML) efforts.

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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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Flipboard

DECEMBER 29, 2024

With breakthroughs in Natural Language Processing and Artificial Intelligence (AI), the usage of Large Language Models (LLMs) in academic research has increased tremendously. Models such as Generative Pre-trained Transformer (GPT) are used by researchers in literature review, abstract screening, and manuscript drafting.

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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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Data Science 101

MARCH 24, 2020

Quantifying the Carbon Emissions of Machine Learning Training a neural network can take a lot of computer processing power. This processing power comes at a cost to the environment. The post Data Science Papers for Spring 2020 appeared first on Ryan Swanstrom. Original BERT paper can be found here.

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AWS Machine Learning Blog

DECEMBER 14, 2023

This post is co-authored by Anatoly Khomenko, Machine Learning Engineer, and Abdenour Bezzouh, Chief Technology Officer at Talent.com. Our pipeline belongs to the general ETL (extract, transform, and load) process family that combines data from multiple sources into a large, central repository. session.Session().region_name

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How to Learn Machine Learning

MAY 14, 2023

Embarking on a career as a Machine Learning Engineer has become increasingly popular in recent years. This is because machine learning has evolved into a driving force for various industries such as finance, healthcare, marketing, and many more. The Machine Learning Engineer Career Path 1.

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Dataversity

FEBRUARY 15, 2021

From business processes and smart home technology to healthcare and life sciences, AI continues to evolve and grow as it plays an increasing role in many aspects of our work, home lives, and beyond. As we bid 2020 a […].

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Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 59

Flipboard

MAY 15, 2025

Qualtrics harnesses the power of generative AI, cutting-edge machine learning (ML), and the latest in natural language processing (NLP) to provide new purpose-built capabilities that are precision-engineered for experience management (XM).

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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! Euro) in 2021. Iryna Gurevych.

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Towards AI

AUGUST 25, 2023

DL Artificial intelligence (AI) is the study of ways to build intelligent programs and machines that can creatively solve problems, which has always been considered a human prerogative. Deep learning (DL) is a subset of machine learning that uses neural networks which have a structure similar to the human neural system.

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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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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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Applied Data Science

AUGUST 2, 2021

Machine learning The 6 key trends you need to know in 2021 ? They bring deep expertise in machine learning , clustering , natural language processing , time series modelling , optimisation , hypothesis testing and deep learning to the team. Download the free, unabridged version here.

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O'Reilly Media

NOVEMBER 19, 2024

See the primary sources “ REALM: Retrieval-Augmented Language Model Pre-Training ” by Kelvin Guu, et al., at Facebook—both from 2020. For example, a mention of “NLP” might refer to natural language processing in one context or neural linguistic programming in another. Split each document into chunks.

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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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AWS Machine Learning Blog

JANUARY 13, 2023

To mitigate these challenges, we propose using an open-source federated learning (FL) framework called FedML , which enables you to analyze sensitive HCLS data by training a global machine learning model from distributed data held locally at different sites. Nat Mach Intell 2, 305–311 (2020). Reference. [1] Makowski, M.R.,

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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. Feb 8: At PyCon Colombia, Ines was also interviewed by Karolina Ladino and they talked the history of spaCy, and how to get into programming, machine learning and NLP.

Python 52

Python Machine Learning Machine Learning Natural Language Processing 52

Flipboard

FEBRUARY 5, 2023

One system in particular, called Birdbrain, is continuously improving the learner’s experience with algorithms based on decades of research in educational psychology, combined with recent advances in machine learning. Duolingo uses machine learning and other cutting-edge technologies to mimic these three qualities of a good tutor.

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AWS Machine Learning Blog

JULY 3, 2024

For this purpose, we use Amazon Textract, a machine learning (ML) service for entity recognition and extraction. Once the input data is processed, it is sent to the LLM as contextual information through API calls. Language Models are Few-Shot Learners. Mesko, B., & & Topol, E.

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AWS Machine Learning Blog

OCTOBER 26, 2023

Enterprises seek to harness the potential of Machine Learning (ML) to solve complex problems and improve outcomes. To learn more about SageMaker Canvas and how it helps make it easier for everyone to start with Machine Learning, check out the SageMaker Canvas announcement. References Lewis, P., Petroni, F.,

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IBM Journey to AI blog

AUGUST 12, 2024

Wearable devices (such as fitness trackers, smart watches and smart rings) alone generated roughly 28 petabytes (28 billion megabytes) of data daily in 2020. AIOPs refers to the application of artificial intelligence (AI) and machine learning (ML) techniques to enhance and automate various aspects of IT operations (ITOps).

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AWS Machine Learning Blog

OCTOBER 30, 2024

Sentence transformers are powerful deep learning models that convert sentences into high-quality, fixed-length embeddings, capturing their semantic meaning. These embeddings are useful for various natural language processing (NLP) tasks such as text classification, clustering, semantic search, and information retrieval.

Machine Learning 108

Machine Learning Machine Learning AWS Data Scientist 108

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 According to Paul Tepper, machine learning expert at Nuance, their three main focus areas include understanding user intent, delivering all kinds of answers, and ensuring two-way dialogues.

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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.

Natural Language Processing 91

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AWS Machine Learning Blog

SEPTEMBER 9, 2024

As LLMs have grown larger, their performance on a wide range of natural language processing tasks has also improved significantly, but the increased size of LLMs has led to significant computational and resource challenges. Maxime Hugues is a Principal WW Specialist Solutions Architect GenAI at AWS, which he joined in 2020.

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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. Furthermore, these tasks can be performed with zero-shot learning, where a well-engineered prompt can guide the model towards desired results. encode("utf-8") client = boto3.client("runtime.sagemaker")

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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. .

Business Intelligence 134

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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

Data Science Natural Language Processing Artificial Intelligence Artificial Intelligence 40

AWS Machine Learning Blog

FEBRUARY 19, 2024

billion, an increase of 22% over 2020. He specializes in machine learning and generative AI. He works with organizations ranging from large enterprises to early-stage startups on problems related to machine learning. Amazon’s annual revenue increased from $245B in 2019 to $434B in 2022.

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AWS Machine Learning Blog

MAY 2, 2023

JumpStart is a machine learning (ML) hub that can help you accelerate your ML journey. JumpStart provides many pre-trained language models called foundation models that can help you perform tasks such as article summarization, question answering, and conversation generation and image generation.

Algorithm 101

Algorithm Machine Learning Machine Learning Natural Language Processing 101

Dataconomy

AUGUST 22, 2024

Aleksandr Timashov is an ML Engineer with over a decade of experience in AI and Machine Learning. Please tell our readers about your background and how you got into Data Science and Machine Learning? The transition to Machine Learning felt natural given my mathematical background.

ML 91

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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?

Natural Language Processing 98

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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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