Data Science Blog

FEBRUARY 23, 2023

Presumably due to this fact, Andrew Ng, in his presentation in NeurIPS 2016, gave a rough and abstract predictions of how transfer learning in machine learning would make commercial success like white lines in the figure below. My point is, the more data you have, and the bigger computation resource you have, the better performance you get.

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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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DrivenData Labs

MARCH 30, 2023

His research is developing SAFE (secure & private, auditable, fair, and equitable) theoretical approaches and practical frameworks to leverage the power of data to solve real-world problems. Shaishav Jain is a Data Science Associate Consultant at ZS. Hafiz Asif is a postdoc at I-DSLA. He received his Ph.D.

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ODSC - Open Data Science

OCTOBER 15, 2023

Institute of Analytics The Institute of Analytics is a non-profit organization that provides data science and analytics courses, workshops, certifications, research, and development. The courses and workshops cover a wide range of topics, from basic data science concepts to advanced machine learning techniques.

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Mlearning.ai

APRIL 10, 2023

With the emergence of data science and AI, clustering has allowed us to view data sets that are not easily detectable by the human eye. Thus, this type of task is very important for exploratory data analysis. 1207–1221, May 2016, doi: 10.1109/JSAC.2016.2545384. 2016.2545384. BECOME a WRITER at MLearning.ai

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Explosion

DECEMBER 30, 2021

Jan 22: Ines was invited as a guest to the TalkPython podcast and discussed how to build a data science startup. Mar 29: Ines joined the at the German Python Podcast to talk about Natural Language Processing with spaCy. ? Since founding Explosion in 2016, we’ve run the company as a profitable business.

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DagsHub

JULY 25, 2024

Further Reading TensorFlow Documentation TensorFlow Tutorials PyTorch PyTorch, developed by Facebook's AI Research Lab (FAIR) , was released in 2016. Libraries and Extensions: Includes torchvision for image processing, touchaudio for audio processing, and torchtext for NLP. Notable Use Cases in the Industry H2O.ai

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AWS Machine Learning Blog

APRIL 18, 2023

Large language models (LLMs) with billions of parameters are currently at the forefront of natural language processing (NLP). These models are shaking up the field with their incredible abilities to generate text, analyze sentiment, translate languages, and much more.

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Heartbeat

FEBRUARY 2, 2024

Visual Question Answering (VQA) stands at the intersection of computer vision and natural language processing, posing a unique and complex challenge for artificial intelligence. is a significant benchmark dataset in computer vision and natural language processing. or Visual Question Answering version 2.0,

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Pickl AI

AUGUST 22, 2024

First released in 2016, it quickly gained traction due to its intuitive design and robust capabilities. In industry, it powers applications in computer vision, natural language processing, and reinforcement learning. It excels in image classification, natural language processing, and time series forecasting applications.

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AWS Machine Learning Blog

FEBRUARY 28, 2023

However, organizations and users in industries where there is potential health data, such as in healthcare or in health insurance, must prioritize protecting the privacy of people and comply with regulations. Use Amazon Athena queries for the following: Extract non-sensitive structured data from Amazon HealthLake.

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AWS Machine Learning Blog

APRIL 18, 2023

Large language models (LLMs) with billions of parameters are currently at the forefront of natural language processing (NLP). These models are shaking up the field with their incredible abilities to generate text, analyze sentiment, translate languages, and much more.

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Pickl AI

OCTOBER 1, 2024

Read More: Top 7 Generative AI Use Cases and Application Hugging Face Hugging Face is a New York-based AI research company that is best known for its work on open-source natural language processing (NLP) models.

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DrivenData Labs

FEBRUARY 3, 2025

Most solvers were data science professionals, professors, and students, but there were also many data analysts, project managers, and people working in public health and healthcare. I love participating in various competitions involving deep learning, especially tasks involving natural language processing or LLMs.

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