Bitext

JANUARY 20, 2025

In the era of data-driven decision-making, Knowledge Graphs (KGs) have emerged as pivotal tools for structuring, organizing, and interconnecting vast amounts of information. From enhancing search engine capabilities to powering AI-driven insights, KGs rely heavily on extracting, interpreting, and linking data elements with precision.

Chatbots 52

Chatbots Linked Data AI Chatbots AI 52

Marktechpost

AUGUST 19, 2023

Modeling the underlying academic data as an RDF knowledge graph (KG) is one efficient method. This makes standardization, visualization, and interlinking with Linked Data resources easier. As a result, scholarly KGs are essential for converting document-centric academic material into linked and automatable knowledge structures.

Linked Data 98

Linked Data Data Analysis AI AI 98

ODSC - Open Data Science

APRIL 27, 2023

What’s more, models trained on synthetic data have proved to be more accurate than models trained on real-world data in certain cases during recent tests. Fraud Detection Recently we’ve seen increased use of machine learning for fraud and anomaly detection.

Machine Learning 52

Machine Learning Data Science Linked Data Deep Learning 52

Becoming Human

JANUARY 23, 2023

If you have any reviews, critics, or any need of advice for any analytics/Data Science/Machine Learning based project. Feel free to reach out to me on LinkedIn and you may use my Github/Kaggle repository of python and R code templates and already-made visualization’s for implementation or reference.

Data Scientist 59

Data Scientist Natural Language Processing Data Science Linked Data 59

Pickl AI

NOVEMBER 3, 2023

Data School by Kevin Markham Category: Tutorials and Python Programming Subscribers: 216K Link to the Channel: [link] It is a treasure trove of Data Science tutorials. With a primary focus on Python, this channel offers in-depth insights into various Data Science concepts, data visualization , and Machine Learning.

Data Science 52

Data Science Machine Learning Data Scientist Python 52

AWS Machine Learning Blog

APRIL 7, 2023

As one of the most prominent use cases to date, machine learning (ML) at the edge has allowed enterprises to deploy ML models closer to their end-customers to reduce latency and increase responsiveness of their applications. This will ensure we have our own copy of the container image to pull from Amazon ECR.

BERT 95

BERT Metadata ML Natural Language Processing 95

Mlearning.ai

MAY 10, 2023

Opportunities for Engineers : Open-Source Projects and Techniques RunwayML RunwayML is an open-source project that offers a user-friendly platform for training, fine-tuning, and deploying machine learning models, including GANs and CNNs. Engineers could explore ways to adapt DALL-E’s approach to prioritize accurate hand rendering.

Convolutional Neural Networks 98

Convolutional Neural Networks Neural Network Algorithm AI 98

Mlearning.ai

APRIL 23, 2023

Keras is a powerful deep learning library that enables the creation and training of neural network models. However, before training any machine learning model, it is essential to preprocess the data. values.astype(np.float32) labels = data["quality"].values.reshape(-1,

Neural Network 52

Neural Network Machine Learning Linked Data Deep Learning 52

Mlearning.ai

MARCH 15, 2023

Build a Stocks Price Prediction App powered by Snowflake, AWS, Python and Streamlit — Part 2 of 3 A comprehensive guide to develop machine learning applications from start to finish. Introduction Welcome Back, Let's continue with our Data Science journey to create the Stock Price Prediction web application.

Python 52

Python Machine Learning Data Extraction Data Analysis 52

Mlearning.ai

JANUARY 26, 2023

Video Presentation of the B3 Project’s Data Cube. Presenters and participants had the opportunity to hear about and evaluate the pros and cons of different back end technologies and data formats for different uses such as web-mapping, data visualization, and the sharing of meta-data.

Metadata 98

Metadata Data Science Big Data Linked Data 98

John Snow Labs

AUGUST 31, 2023

Addressing clinical bias in LLMs requires careful curation and balancing of training data, rigorous model evaluation, and continuous feedback loops with medical professionals to ensure outputs are medically sound and unbiased. Supported Data: [link] data Testing in 3 lines of Code !pip Why LangTest?

Large Language Models 52

Large Language Models NLP LLM OpenAI 52

Marktechpost

JULY 13, 2023

Unexpectedly, they note that completing a low-rank matrix is similar to learning an addition map on n digits from random samples. They can provide a logical justification for such phase changes thanks to this link. Data on the flow of cognition throughout training.

Auto-complete 97

Auto-complete Large Language Models Linked Data AI Tools 97

Mlearning.ai

MAY 23, 2023

In this article, we will explore some common data science interview questions that will help you prepare and increase your chances of success. Read the full blog here —  [link] Data Science Interview Questions for Freshers 1. What is Data Science? Classification is very important in machine learning.

Data Science 52

Data Science Neural Network Deep Learning Machine Learning 52

TensorFlow

APRIL 28, 2023

NOTE: TensorFlow Serving is a flexible, high-performance serving system for machine learning models, designed for production environments, which is widely adopted in industry. After that, the model can be served by TF Serving, a high-performance serving system for machine learning models, specially designed for production environments.

Machine Learning 52

Machine Learning Deep Learning Linked Data ML 52

Heartbeat

NOVEMBER 6, 2023

We're committed to supporting and inspiring developers and engineers from all walks of life.

ETL 52

ETL Python Metadata Deep Learning 52

AWS Machine Learning Blog

DECEMBER 19, 2024

Vikram helps financial and insurance industry customers with design, thought leadership to build and deploy machine learning applications at scale. Qingwei Li is a Machine Learning Specialist at Amazon Web Services. He helps enterprise customers build and operate machine learning solutions on AWS.

LLM 93

LLM Machine Learning Natural Language Processing ML 93

Flipboard

NOVEMBER 27, 2024

In the context of enterprise data asset search powered by a metadata catalog hosted on services such Amazon DataZone, AWS Glue, and other third-party catalogs, knowledge graphs can help integrate this linked data and also enable a scalable search paradigm that integrates metadata that evolves over time.

Metadata 146

Metadata Auto-complete Data Discovery ML Engineer 146

Bugra Akyildiz

FEBRUARY 16, 2025

These results bridge mechanism design and machine learning, showing optimal aggregation aligns with standard training objectives like KL divergence minimization. Log Loss : Minimizes Llog=−∑bi⋅log⁡qi L log=−∑ bi ⋅log qi , yielding log-linear aggregation.

LLM 52

LLM Python ETL Prompt Engineer 52