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DE & ML Digest
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DE & ML Digest
Big Data
New – Introducing SageMaker Training Compiler
Amazon
New – Introducing SageMaker Training Compiler | Amazon Web Services
Today, we’re pleased to announce Amazon SageMaker Training Compiler, a new Amazon SageMaker capability that can accelerate the training of deep learning (DL) models by up to 50%. As DL models grow in complexity, so too does the time it can take to optimize…
DE & ML Digest
Big Data
New AWS Scholarship Program Helps Underrepresented and Underserved Students Prep for Careers in AI and ML
Amazon
New AWS Scholarship Program Helps Underrepresented and Underserved Students Prep for Careers in AI and ML | Amazon Web Services
As a woman working in information technology (IT) for many years, it has always been close to my heart to challenge long-standing gender stereotypes and inspire more young learners to consider a career in tech. With artificial intelligence (AI) and machine…
DE & ML Digest
Big Data
Turning 2 Trillion Data Points of Traffic Intelligence into Critical Business Insights
Databricks
Simplifying Geospatial Data Analysis With Python Using Databricks
Learn how we optimized our workflow at Intelematics by creating a library to work with geospatial data using python on the Databricks Lakehouse platform.
DE & ML Digest
Big Data
Network Address Management and Auditing at Scale with Amazon VPC IP Address Manager
Amazon
Network Address Management and Auditing at Scale with Amazon VPC IP Address Manager | Amazon Web Services
Managing, monitoring, and auditing IP address allocation for at-scale networks, as the growth in cloud workloads and connected devices continues at a rapid pace, is a complex, time-consuming, and potentially error-prone task. Traditionally, network administrators…
DE & ML Digest
ML
Principal Component Analysis for Visualization
MachineLearningMastery.com
Principal Component Analysis for Visualization - MachineLearningMastery.com
Principal component analysis (PCA) is an unsupervised machine learning technique. Perhaps the most popular use of principal component analysis is dimensionality reduction. Besides using PCA as a data preparation technique, we can also use it to help visualize…
DE & ML Digest
ML
Face Recognition using Principal Component Analysis
DE & ML Digest
ML
The Transformer Attention Mechanism
DE & ML Digest
ML
Using Singular Value Decomposition to Build a Recommender System
DE & ML Digest
ML
The Transformer Model
DE & ML Digest
ML
A Gentle Introduction to Vector Space Models
MachineLearningMastery.com
A Gentle Introduction to Vector Space Models - MachineLearningMastery.com
Vector space models are to consider the relationship between data that are represented by vectors. It is popular in information retrieval systems but also useful for other purposes. Generally, this allows us to compare the similarity of two vectors from a…
DE & ML Digest
ML
Self-Supervised Reversibility-Aware Reinforcement Learning
research.google
Self-Supervised Reversibility-Aware Reinforcement Learning
Posted by Johan Ferret, Student Researcher, Google Research, Brain Team An approach commonly used to train agents for a range of applications from ...
DE & ML Digest
ML
Improved On-Device ML on Pixel 6, with Neural Architecture Search
research.google
Improved On-Device ML on Pixel 6, with Neural Architecture Search
Posted by Suyog Gupta and Marie White, Software Engineers, Google Research This fall Pixel 6 phones launched with Google Tensor, Google’s first mob...
DE & ML Digest
ML
Google at EMNLP 2021
Googleblog
Google at EMNLP 2021
DE & ML Digest
ML
Using CNN for financial time series prediction
DE & ML Digest
ML
Enhanced Sleep Sensing in Nest Hub
research.google
Enhanced Sleep Sensing in Nest Hub
Posted by Michael Dixon, Software Engineer and Reena Singhal Lee, Product Manager, Google Health Earlier this year, we launched Contactless Sleep S...
DE & ML Digest
ML
Another Step Towards Breakeven Fusion
research.google
Another Step Towards Breakeven Fusion
Posted by Ted Baltz, Senior Staff Software Engineer, Google Research For more than 70 years, plasma physicists have dreamed of controlled “breakeve...
DE & ML Digest
ML
Making Better Future Predictions by Watching Unlabeled Videos
research.google
Making Better Future Predictions by Watching Unlabeled Videos
Posted by Dave Epstein, Student Researcher and Chen Sun, Staff Research Scientist, Google Research Machine learning (ML) agents are increasingly de...
DE & ML Digest
ML
Predicting Text Readability from Scrolling Interactions
research.google
Predicting Text Readability from Scrolling Interactions
Posted by Sian Gooding, Intern, Google Research Illiteracy affects at least 773 million people globally, both young and old. For these individuals,...
DE & ML Digest
ML
An Open Source Vibrotactile Haptics Platform for On-Body Applications
research.google
An Open Source Vibrotactile Haptics Platform for On-Body Applications
Posted by Artem Dementyev, Hardware Engineer, Google Research Most wearable smart devices and mobile phones have the means to communicate with the ...
DE & ML Digest
ML
Analyzing Scientific Articles with fine-tuned SciBERT NER Model and Neo4j
KDnuggets
Analyzing Scientific Articles with fine-tuned SciBERT NER Model and Neo4j
In this article, we will be analyzing a dataset of scientific abstracts using the Neo4j Graph database and a fine-tuned SciBERT model.
DE & ML Digest
ML
KDnuggets
Avoid These Mistakes with Time Series Forecasting - KDnuggets
A few checks to make before training a Machine Learning model on data that could be random.
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