ODSC - Open Data Science

OCTOBER 18, 2023

Many companies are now utilizing data science and machine learning , but there’s still a lot of room for improvement in terms of ROI. Completing Knowledge Discovery fast at High Quality with AI Alex Liu, Ph.D. It continues with the selection of a clustering algorithm and the fine-tuning of a model to create clusters.

Machine Learning 52

Machine Learning Machine Learning Clustering Data Science 52

ODSC - Open Data Science

APRIL 13, 2023

Botnets Detection at Scale — Lessons Learned From Clustering Billions of Web Attacks Into Botnets Read more to learn about the data flow, the challenges, and the way we get successful results of botnet detection. How to Use Machine Learning for Algorithmic Trading Machine learning has proven to be a huge boon to the finance industry.

ML 52

ML ML Data Science Machine Learning 52

IBM Journey to AI blog

APRIL 18, 2024

While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly. This gap highlights the vast difference between current AI and the potential of AGI.

AI 95

AI AI Computer Science Computer Science 95

ODSC - Open Data Science

FEBRUARY 17, 2023

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. Companies are finding NLP to be one of the best applications of AI regardless of industry.

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Deep Learning Deep Learning Data Science Natural Language Processing 111

ODSC - Open Data Science

APRIL 21, 2023

Generative AI has the world on fire. That’s why at ODSC East, generative AI will be one of the hot topics to be discussed in our talks, workshops, tutorials, and more. Let’s take a look at what’s in store for you at ODSC East this May 9th-11th and what you’ll learn about generative AI when you attend.

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ODSC - Open Data Science

APRIL 25, 2023

In this post, I will describe the process of analyzing a global AI research community network using Gephi and ChatGPT. Graph visualization finds applications in various fields, such as computer science, social network analysis, biology, and business. For this post, I selected AI collaboration data for 2022.

Data Science 52

Data Science AI AI Algorithm 52

Pickl AI

JULY 25, 2023

With expertise in Python, machine learning algorithms, and cloud platforms, machine learning engineers optimize models for efficiency, scalability, and maintenance. They possess a deep understanding of statistical methods, programming languages, and machine learning algorithms.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Heartbeat

AUGUST 23, 2023

Consider a scenario where legal practitioners are armed with clever algorithms capable of analyzing, comprehending, and extracting key insights from massive collections of legal papers. Algorithms can automatically detect and extract key items. But what if there was a technique to quickly and accurately solve this language puzzle?

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Pickl AI

MAY 10, 2023

Machine Learning is a subset of Artificial Intelligence and Computer Science that makes use of data and algorithms to imitate human learning and improving accuracy. Being an important component of Data Science, the use of statistical methods are crucial in training algorithms in order to make classification.

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Clustering Decision Trees Machine Learning Machine Learning 52

Mlearning.ai

MAY 23, 2023

Here are a few courses you can check out — AI for Medicine Specialization Natural Language Processing Specialization Generative Adversarial Networks (GANs) Specialization Educational Background A Bachelor’s degree in a quantitative field like computer science, mathematics, statistics, or engineering is often the minimum requirement.

Data Science 52

Data Science Data Scientist Apache Hadoop Machine Learning 52

IBM Journey to AI blog

DECEMBER 20, 2023

That’s why diversifying enterprise AI and ML usage can prove invaluable to maintaining a competitive edge. Each type and sub-type of ML algorithm has unique benefits and capabilities that teams can leverage for different tasks. Here, we’ll discuss the five major types and their applications. What is machine learning?

Machine Learning 80

Machine Learning Machine Learning Supervised Learning Clustering 80

NYU Center for Data Science

JANUARY 25, 2024

Andrew Wilson (Associate Professor of Computer Science and Data Science) “ A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning ” by Valeriia Cherepanova, Roman Levin, Gowthami Somepalli, Jonas Geiping, C.

Computer Science 75

Computer Science Computer Science Data Science Supervised Learning 75

NYU Center for Data Science

NOVEMBER 15, 2023

The conference began in 1987 and focuses on the advancement of research in AI and machine learning. The conference will take place in-person at the New Orleans Ernest N. Morial Convention Center.

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Data Science Computer Science Computer Science Supervised Learning 84

Towards AI

APRIL 4, 2024

Last Updated on April 4, 2024 by Editorial Team Author(s): Stephen Chege-Tierra Insights Originally published on Towards AI. Created by the author with DALL E-3 Machine learning algorithms are the “cool kids” of the tech industry; everyone is talking about them as if they were the newest, greatest meme.

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K-nearest Neighbors Machine Learning Machine Learning Decision Trees 70

IBM Journey to AI blog

JULY 6, 2023

These computer science terms are often used interchangeably, but what differences make each a unique technology? To keep up with the pace of consumer expectations, companies are relying more heavily on machine learning algorithms to make things easier. Machine learning is a subset of AI.

Deep Learning 60

Deep Learning Deep Learning Machine Learning Machine Learning 60

AWS Machine Learning Blog

MARCH 15, 2024

To mitigate these risks, the FL model uses personalized training algorithms and effective masking and parameterization before sharing information with the training coordinator. Solution overview We deploy FedML into multiple EKS clusters integrated with SageMaker for experiment tracking.

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Mlearning.ai

JUNE 25, 2023

Overview of Quantum Error Mitigation in NISQ through QML This article is part of our research under the guidance of Professor N.Geethanjali, Department of Computer Science & Technology, Sri Krishnadevaraya University, Andhra Pradesh State , INDIA. The below diagram gives a clear distinction between these two.

Algorithm 52

Algorithm Machine Learning Machine Learning Deep Learning 52

AWS Machine Learning Blog

AUGUST 22, 2023

Many ML algorithms train over large datasets, generalizing patterns it finds in the data and inferring results from those patterns as new unseen records are processed. Flower has an extensive implementation of FL averaging algorithms and a robust communication stack. Each account or Region has its own training instances.

Machine Learning 71

Machine Learning Machine Learning AWS ML 71

Google Research AI blog

FEBRUARY 28, 2023

We also support Responsible AI projects directly for other organizations — including our commitment of $3M to fund the new INSAIT research center based in Bulgaria. In 2022, we expanded our research interactions and programs to faculty and students across Latin America , which included grants to women in computer science in Ecuador.

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ML ML Deep Learning Deep Learning 72

AWS Machine Learning Blog

JANUARY 20, 2023

In this post, we discuss how CCC Intelligent Solutions (CCC) combined Amazon SageMaker with other AWS services to create a custom solution capable of hosting the types of complex artificial intelligence (AI) models envisioned. The challenge CCC processes more than $1 trillion claims transactions annually.

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AWS Machine Learning Blog

MAY 24, 2023

By harnessing generative AI technologies, organizations can streamline IDP workflows, enhance user experience, and boost overall efficiency. An LLM is a type of AI model designed to understand and generate human-like text. As an alternative, you can use FAISS , an open-source vector clustering solution for storing vectors.

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AI AI AWS ML 74

DrivenData Labs

DECEMBER 7, 2023

Solvers submitted a wide range of methodologies to this end, including using open-source and third party LLMs (GPT, LLaMA), clustering (DBSCAN, K-Means), dimensionality reduction (PCA), topic modeling (LDA, BERT), sentence transformers, semantic search, named entity recognition, and more. and DistilBERT. What motivated you to participate? :

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Natural Language Processing Clustering Data Science Data Analysis 130

AWS Machine Learning Blog

JANUARY 13, 2023

The eICU data is ideal for developing ML algorithms, decision support tools, and advancing clinical research. FedML supports several out-of-the-box deep learning algorithms for various data types, such as tabular, text, image, graphs, and Internet of Things (IoT) data. Define the model. He received his Ph.D.

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AWS Analytics Analytics Machine Learning 71

DrivenData Labs

DECEMBER 10, 2023

We are very interested in how AI-based research assistants can help NASA, and we received a diverse variety of cutting-edge AI approaches from around the globe in the Research Rovers challenge. degree in AI and ML specialization from Gujarat University, earned in 2019. bge-small-en-v1.5 He holds an M.S.

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AI AI Natural Language Processing Artificial Intelligence 147

AWS Machine Learning Blog

APRIL 18, 2023

GPT-J 6B large language model GPT-J 6B is an open-source, 6-billion-parameter model released by Eleuther AI. To make things easy, these three inputs depend solely on the model name, version (for a list of the available models, see Built-in Algorithms with pre-trained Model Table ), and the type of instance you want to train on.

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ML ML Deep Learning Deep Learning 67

AWS Machine Learning Blog

APRIL 18, 2023

GPT-J 6B large language model GPT-J 6B is an open-source, 6-billion-parameter model released by Eleuther AI. To make things easy, these three inputs depend solely on the model name, version (for a list of the available models, see Built-in Algorithms with pre-trained Model Table ), and the type of instance you want to train on.

ML 52

ML ML Deep Learning Deep Learning 52

Flipboard

NOVEMBER 24, 2023

Many customers are building generative AI apps on Amazon Bedrock and Amazon CodeWhisperer to create code artifacts based on natural language. Amazon Bedrock is the easiest way to build and scale generative AI applications with foundation models (FMs). Using AI, AutoLink automatically identified and suggested potential matches.

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Database AWS ETL SQL 112

AWS Machine Learning Blog

NOVEMBER 1, 2023

Visual language processing (VLP) is at the forefront of generative AI, driving advancements in multimodal learning that encompasses language intelligence, vision understanding, and processing. Solution overview The proposed VLP solution integrates a suite of state-of-the-art generative AI modules to yield accurate multimodal outputs.

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PyImageSearch

MAY 1, 2023

Furthermore, since this tutorial acts as a strong base for an upcoming tutorial, the trained YOLOv8 variant should be able to run inference in near real-time on the OpenCV AI Kit (OAK) that comes powered with the Intel MyriadX neural hardware accelerator. Or requires a degree in computer science? Yes, you read it right!

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Deep Learning Deep Learning Python Algorithm 107