AWS Machine Learning Blog

SEPTEMBER 5, 2023

Conclusion In this post, we showed how our team used AWS Glue and SageMaker to create a scalable supervised learning solution for predictive maintenance. Yingwei received his PhD in computer science from Texas A&M University. candidate in computer science at UNC-Charlotte. The remaining 8.4%

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Hacker News

MARCH 25, 2022

Transformers made self-supervised learning possible, and AI jumped to warp speed,” said NVIDIA founder and CEO Jensen Huang in his keynote address this week at GTC. Transformers are in many cases replacing convolutional and recurrent neural networks (CNNs and RNNs), the most popular types of deep learning models just five years ago.

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AWS Machine Learning Blog

SEPTEMBER 8, 2023

This post is co-written with Travis Bronson, and Brian L Wilkerson from Duke Energy Machine learning (ML) is transforming every industry, process, and business, but the path to success is not always straightforward. In this blog post, we demonstrate how Duke Energy , a Fortune 150 company headquartered in Charlotte, NC.,

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Dataconomy

MARCH 14, 2023

Over the centuries, humans have developed and evolved many forms of communication, from the earliest hieroglyphs and pictograms to the complex and nuanced language systems of today Google Universal Speech Model (USM) Goole provided further details about the Universal Speech Model (USM) in its blog post.

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ODSC - Open Data Science

JANUARY 22, 2024

Open Data Science Blog Recap: In a new paper , MIT’s CSAIL researchers have introduced an innovative AI method that leverages automated interpretability agents (AIAs) built from pre-trained language models. A new paper touches on the promise of machine learning in creating individualized treatments.

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IBM Journey to AI blog

JULY 6, 2023

That’s where data science comes in. The term data science was first used in the 1960s when it was interchangeable with the phrase “computer science.” ” “Data science” was first used as an independent discipline in 2001. appeared first on IBM Blog.

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Snorkel AI

MARCH 1, 2023

Foundation models are large AI models trained on enormous quantities of unlabeled data—usually through self-supervised learning. What is self-supervised learning? Self-supervised learning is a kind of machine learning that creates labels directly from the input data. Find out in the guide below.

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AWS Machine Learning Blog

OCTOBER 30, 2024

It was distilled from a larger teacher model (approximately 5 billion parameters), which was pre-trained on a large amount of unlabeled ASIN data and pre-fine-tuned on a set of Amazon supervised learning tasks (multi-task pre-fine-tuning). Outside of work, he enjoys traveling, playing outdoor sports, and exploring board games.

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AWS Machine Learning Blog

AUGUST 7, 2023

As opposed to training a model from scratch with task-specific data, which is the usual case for classical supervised learning, LLMs are pre-trained to extract general knowledge from a broad text dataset before being adapted to specific tasks or domains with a much smaller dataset (typically on the order of hundreds of samples).

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Pickl AI

DECEMBER 3, 2024

Thus, the significance of repositories like the UCI Machine Learning repository grows. This blog aims to explore the repository’s history, importance, and how it supports Machine Learning innovation. Key Takeaways The UCI Machine Learning Repository supports Machine Learning research with diverse datasets.

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Pickl AI

APRIL 2, 2024

Summary This blog post demystifies data science for business leaders. From building a data science team to harnessing cutting-edge tools, this cheat sheet equips you to unlock the hidden potential of your data and make informed decisions. What is Data Science for Business Leaders? But raw data itself isn’t enough.

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Heartbeat

OCTOBER 25, 2023

Empowering Data Scientists and Machine Learning Engineers in Advancing Biological Research Image from European Bioinformatics Institute Introduction: In biological research, the fusion of biology, computer science, and statistics has given birth to an exciting field called bioinformatics.

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Pickl AI

AUGUST 1, 2024

Summary : Deep Learning engineers specialise in designing, developing, and implementing neural networks to solve complex problems. Introduction Deep Learning engineers are specialised professionals who design, develop, and implement Deep Learning models and algorithms.

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ODSC - Open Data Science

FEBRUARY 14, 2023

The model was fine-tuned to reduce false, harmful, or biased output using a combination of supervised learning in conjunction to what OpenAI calls Reinforcement Learning with Human Feedback (RLHF), where humans rank potential outputs and a reinforcement learning algorithm rewards the model for generating outputs like those that rank highly.

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Pickl AI

APRIL 10, 2023

One of the biggest challenges that students face after clearing college is to find the right learning platform. So, if you are eyeing your career in the data domain, this blog will take you through some of the best colleges for Data Science in India. Student Go for Data Science Course?

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Pickl AI

SEPTEMBER 18, 2024

A Machine Learning Engineer plays a crucial role in this landscape, designing and implementing algorithms that drive innovation and efficiency. Academic Background A strong academic foundation is essential for anyone aspiring to become a Machine Learning Engineer.

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Pickl AI

SEPTEMBER 23, 2024

Summary: The blog explores the synergy between Artificial Intelligence (AI) and Data Science, highlighting their complementary roles in Data Analysis and intelligent decision-making. Introduction Artificial Intelligence (AI) and Data Science are revolutionising how we analyse data, make decisions, and solve complex problems.

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DrivenData Labs

FEBRUARY 3, 2025

This blog post discusses circumstances of youth suicide, which can be upsetting and difficult to discuss. Recently, I became interested in machine learning, so I was enrolled in the Yandex School of Data Analysis and Computer Science Center. Machine learning is my passion and I often participate in competitions.

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