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Optimizing PWA Performance with ML-Driven Predictive Loading
As more people access the internet through their mobile devices, program developers have turned to progressive web apps (PWAs) to deliver a uniform experience no matter what technology the person uses. Utilizing PWAs allows users to access the tool offline and receive push notifications. Because of... Read more
The Top Machine Learning Research of May 2024
AI and machine learning research is progressing at breakneck speed. This is producing innovative solutions and methodologies that will not only drive new technology today but lay the foundations for the future. So in this blog let’s explore some of the most interesting machine learning research... Read more
Trial, Error, Triumph: Lessons Learned Using LLMs for Creating Machine Learning Training Data
The broad availability and performance of large language models (LLMs) enables practitioners to automate a variety of time-consuming tasks. Obtaining a large number of quality labels for a machine learning training dataset is a critical step in supervised learning, but can require prohibitive amounts of time... Read more
How to Optimize ML Models Serving in Production
Today, the use of AI for image classification tasks has become ubiquitous. Millions of images are processed daily with increasing quality standards. However, beyond the quality of classification, optimizing other aspects such as model speed is crucial. Here, we delve into the proper optimization techniques for... Read more
A Tale of Two Cultures: Integrating Data Science and MLOps to Build Successful ML Products
Editor’s note: Thomas Loeber is a speaker for ODSC East this April 23-25. Be sure to check out his talk, “Integrating Data Science and MLOps: How to structure a collaboration and handoff process,” there! When the excitement about data science became widespread about 10 years ago,... Read more
Is Synthetic Data a Reliable Option for Training Machine Learning Models?
Getting enough of the right data is one of the most persistent challenges in machine learning. Growing privacy concerns make this even more of an obstacle. Amid these difficulties, synthetic data has emerged as a promising solution.   What Is Synthetic Data? Synthetic data is information... Read more
An Intro to Building Knowledge Graphs
Editor’s note: Sumit Pal is a speaker for ODSC East this April 23-25. Be sure to check out his talk, “Building Knowledge Graphs,” there! Graphs and Knowledge Graphs (KGs) are all around us. We use them every day without realizing it. GPS leverages graph data structures... Read more
Transform Global Speech Into Local Language with TalkLocal
Imagine being able to understand every word spoken in your native tongue at a conference or meeting that is being held in a language that is unfamiliar to you. A system of such nature can instantly transcribe spoken utterances into text using sophisticated automatic speech recognition(ASR)... Read more
Low Code Time Series Analysis
Time Series Forecasting is a unique field in Machine Learning. When working with time series in fact there is an inherent time dependency between the different points in the series and therefore the different observations are highly dependent on each other. If you are interested in... Read more
Upholding Data Quality in Machine Learning Systems
In the dazzling world of machine learning (ML), it’s quite effortless to get engrossed in the thrill of devising sophisticated algorithms, captivating visualizations, and impressive predictive models. Yet, much like the durability of a building depends not just on its visible structure but also its hidden... Read more