Data Science Blog

FEBRUARY 23, 2023

Thus among fascinating deep learning topics, in this article I am going to pick up how to tackle lack of label or data themselves, and transfer learning. In this article I would first like to explain in the first place what it is like to lack data and next introduce representative techniques to tackle lack of labeled data.

Supervised Learning 264

Supervised Learning Machine Learning Machine Learning Deep Learning 264

Towards AI

DECEMBER 11, 2024

Metas 2016 paper showed that the number of hops had reduced to 3.6 Euler invented Graph theory to solve an interesting puzzle the story is charmingly captured in Vaidehis article. In this article, I stick to people or sometimes Nodes. Milgrams study formally highlighted the so-called small world phenomenon.

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Clustering Algorithm AI AI 105

Dataconomy

JULY 18, 2023

Object clustering and assembly is a behavior that allows the swarm of robots to manipulate objects distributed in the environment. By clustering and assembling these objects, the swarm can engage in construction processes or accomplish specific tasks that require collaborative object manipulation.

Algorithm 172

Algorithm Clustering Artificial Intelligence Artificial Intelligence 172

AWS Machine Learning Blog

SEPTEMBER 11, 2024

The following figure illustrates the idea of a large cluster of GPUs being used for learning, followed by a smaller number for inference. The State of AI Report gives the size and owners of the largest A100 clusters, the top few being Meta with 21,400, Tesla with 16,000, XTX with 10,000, and Stability AI with 5,408.

AWS 117

AWS ML ML Clustering 117

DagsHub

APRIL 7, 2024

Adopted from [link] In this article, we will first briefly explain what ML workflows and pipelines are. By the end of this article, you will be able to identify the key characteristics of each of the selected orchestration tools and pick the one that is best suited for your use case! Programming language: Airflow is very versatile.

Machine Learning 59

Machine Learning Machine Learning ML ML 59

ODSC - Open Data Science

AUGUST 7, 2023

Their platform was developed for working with Spark and provides automated cluster management and Python-style notebooks. Scale AI Founded in 2016, Scale AI has one simple goal, and that’s to accelerate the development of AI applications and provide end-to-end data-centric solutions that manage the entire machine learning life cycle.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 52

AWS Machine Learning Blog

APRIL 18, 2023

Inference example Output from GPT-J 6B Before Fine-Tuning Output from GPT-J 6B After Fine-Tuning This Form 10-K report shows that This Form 10-K report shows that: The Companys net income attributable to the Company for the year ended December 31, 2016 was $3,923,000, or $0.21 per diluted share, compared to $3,818,000, or $0.21

ML 97

ML ML Deep Learning Deep Learning 97