Data Science 101

MARCH 24, 2020

The world of data science is rapidly evolving. Here are a few data science papers I have found interesting. Pain Points, Needs, and Design Opportunities This paper is a study done on the usage of notebooks for data science. It cover a bunch of the negative impacts of using notebooks for data science.

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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. There were limitations such as the difficulties generating text outside of the data it was trained on and seeming repetitive.

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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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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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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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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. Our weekly newsletter picks out the most interesting tools and new releases.

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Towards AI

AUGUST 25, 2023

In graduate school, a course in AI will usually have a quick review of the core ML concepts (covered in a previous course) and then cover searching algorithms, game theory, Bayesian Networks, Markov Decision Processes (MDP), reinforcement learning, and more. 16, 2020. [4] Speech and Language Processing. 12, 2021. [6]

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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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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. ML² is more than just a research initiative. By Stephen Thomas

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NYU Center for Data Science

SEPTEMBER 21, 2023

He researches NLP and human-AI collaboration and is advised by Assistant Professor of Computer Science & Data Science He He. Then in 2020, I started my PhD. I got a little bit lucky then because that was just after language models really took off as tools.

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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. Apr 26: Ines was also invited as a guest on the Chai Time Data Science podcast and talked about her NLP journey, spaCy and Prodigy, open-source development, and tattoos.

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Applied Data Science

MARCH 11, 2022

. ⁍ Language as a game: the field of Emergent Communication Firstly, what is language? Language is an abundant resource: petabytes of human-produced data on the internet have been put to use to train huge language models such as GPT-3 and Google BERT. Follow us on LinkedIn for more AI and data science stories!

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Applied Data Science

DECEMBER 23, 2022

In our review of 2019 we talked a lot about reinforcement learning and Generative Adversarial Networks (GANs), in 2020 we focused on Natural Language Processing (NLP) and algorithmic bias, in 202 1 Transformers stole the spotlight. If you’re looking to do more with your data, please get in touch via our website.

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ODSC - Open Data Science

JUNE 13, 2023

People use a variety of expressions and languages mixed with their personal style of communication. billion social media users worldwide in 2021, which marks a five percent increase from 2020. Other platforms such as YouTube reported reaching two billion users in October 2020 with a revenue of USD 19.8 billion in 2017 to 3.78

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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. And in 2024, global daily data generation surpassed 402 million terabytes (or 402 quintillion bytes). Massive, in fact.

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Dataconomy

AUGUST 22, 2024

In this interview, Aleksandr shares his unique experiences of leading groundbreaking projects in Computer Vision and Data Science at the Petronas global energy group (Malaysia). Please tell our readers about your background and how you got into Data Science and Machine Learning? Hello Aleksandr.

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ODSC - Open Data Science

SEPTEMBER 12, 2024

Now that artificial intelligence has become more widely accepted, some daring companies are looking at natural language processing (NLP) technology as the solution. billion in 2020 — a 1,549% increase in only a decade. 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

FEBRUARY 29, 2024

EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI. Recently, they unveiled new mind-body neural control prostheses.

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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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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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How to Learn Machine Learning

MAY 14, 2023

When selecting projects, consider tackling problems in different domains, such as natural language processing, computer vision, or recommendation systems. Some popular areas of specialization include natural language processing, computer vision, and reinforcement learning. Publisher) Buy on Amazon 5.

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AWS Machine Learning Blog

JULY 3, 2024

Language Models are Few-Shot Learners. The imperative for regulatory oversight of large language models (or generative AI) in healthcare. Data Scientist with 8+ years of experience in Data Science and Machine Learning. Mesko, B., & & Topol, E. Int J Nurs Stud. 2000 Apr;37(2):111-8. PMID: 10684952.

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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?

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Dataconomy

JULY 18, 2023

When it comes to natural language processing, the best large language models are paving the way Cohere Founded by former Google Brain team members, including Aidan Gomez, a co-author of the influential “Attention is all you Need” paper that introduced the Transformer architecture, Cohere is an AI startup targeting enterprise customers.

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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.

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Pickl AI

FEBRUARY 22, 2023

Key statistics According to LinkedIn’s 2020 Emerging Jobs Report , Artificial Intelligence Specialist is the #1 emerging job in the US with 74% annual growth rate in the last 4 years. To ensure flawless work, AI engineers work with a range of technologies like machine learning, natural language processing, and computer vision.

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Pickl AI

JANUARY 16, 2024

billion 15.60% NLP (Natural Language Processing) Unlocking unstructured data potential. billion 23.97% Data Analyst career growth The Data Analysis field provides a spectrum of career prospects. Professionals witness upward career trajectories against India’s escalating demand for Data Science skills.

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AWS Machine Learning Blog

JANUARY 13, 2023

At the application level, such as computer vision, natural language processing, and data mining, data scientists and engineers only need to write the model, data, and trainer in the same way as a standalone program and then pass it to the FedMLRunner object to complete all the processes, as shown in the following code.

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Towards AI

JULY 21, 2023

Deep Learning How to Make a Model with Textual Input Benefit From User’s Age Enriching Sequential LSTM Model with Non-Sequential Features Sequence data can be found in various fields and use cases of Machine Learning, such as Time Series Forecasting, Bioinformatics, Speech Recognition, or Natural Language Processing.

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Heartbeat

DECEMBER 5, 2023

Image Source: NVIDIA A100 — The Revolution in High-Performance Computing The A100 is the pioneer of NVIDIA’s Ampere architecture and emerged as a GPU that redefined computing capability when it was introduced in the first half of 2020. Tensor Cores contribute to efficient inference processing.

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Pickl AI

NOVEMBER 26, 2024

Summary: Recurrent Neural Networks (RNNs) are specialised neural networks designed for processing sequential data by maintaining memory of previous inputs. They excel in natural language processing, speech recognition, and time series forecasting applications. billion in 2020 to an expected $152.61

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AWS Machine Learning Blog

MAY 2, 2023

We get the following response: """For model: huggingface-text2text-flan-t5-xxl, the generated output is: the Managed Spot Training is a subscriptions product available for the following instances: Data Science Virtual Machine (DSVM), DSVM High, and DSVM Low. """ As you can see, the response is not accurate.

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AWS Machine Learning Blog

APRIL 19, 2024

According to the information provided in the summary, GPT-3 from 2020 had 175B (175 billion) parameters, while GPT-2 from 2019 had 1.5B (1.5 The summary describes an image related to the progression of natural language processing and generative AI technologies, but it does not mention anything about particle physics or the concept of quarks.

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Heartbeat

MAY 16, 2023

Sentiment analysis is a common natural language processing (NLP) task that involves determining the sentiment of a given piece of text, such as a tweet, product review, or customer feedback. We’re committed to supporting and inspiring developers and engineers from all walks of life.

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AWS Machine Learning Blog

FEBRUARY 10, 2023

Feature engineering Game tracking data is captured at 10 frames per second, including the player location, speed, acceleration, and orientation. Quantitative evaluation We utilize 2018–2020 season data for model training and validation, and 2021 season data for model evaluation. He obtained his Ph.D.

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Dataconomy

MARCH 15, 2023

Here are some examples of what multimodal AI can do: Speech recognition: Multimodal AI can understand and transcribe spoken language, allowing it to interact with users through voice commands and natural language processing.

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Explosion

DECEMBER 28, 2019

Mar 25: Towards the end of the month, Ines had the honor to be a guest at WiDS (Women in Data Science) Poznań , where she talked practical transfer learning for NLP. Among other things, Ines discussed fast.ai ’s new course on Natural Language Processing and using Polyaxon for model training and experiment management. ?

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