Tag: Kaggle
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Implementing SVM and Kernel SVM with Python’s Scikit-Learn
IntroductionThis guide is the first part of three guides about Support Vector Machines (SVMs). In this series, we will work on a forged bank...
Build a machine learning model to predict student performance using Amazon SageMaker Canvas
There has been a paradigm change in the mindshare of education customers who are now willing to explore new technologies and analytics. Universities and...
Introducing the Amazon Comprehend flywheel for MLOps
The world we live in is rapidly changing, and so are the data and features that companies and customers use to train their models....
Build a GNN-based real-time fraud detection solution using the Deep Graph Library without using external graph storage
Fraud detection is an important problem that has applications in financial services, social media, ecommerce, gaming, and other industries. This post presents an implementation...
Identifying defense coverage schemes in NFL’s Next Gen Stats
This post is co-written with Jonathan Jung, Mike Band, Michael Chi, and Thompson Bliss at the National Football League. A coverage scheme refers...
Predict football punt and kickoff return yards with fat-tailed distribution using GluonTS
Today, the NFL is continuing their journey to increase the number of statistics provided by the Next Gen Stats Platform to all 32 teams...
Analyze and visualize multi-camera events using Amazon SageMaker Studio Lab
The National Football League (NFL) is one of the most popular sports leagues in the United States and is the most valuable sports league...
Amazon SageMaker built-in LightGBM now offers distributed training using Dask
Amazon SageMaker provides a suite of built-in algorithms, pre-trained models, and pre-built solution templates to help data scientists and machine learning (ML) practitioners get...
Connecting Amazon Redshift and RStudio on Amazon SageMaker
Last year, we announced the general availability of RStudio on Amazon SageMaker, the industry’s first fully managed RStudio Workbench integrated development environment (IDE) in...
Augment fraud transactions using synthetic data in Amazon SageMaker
Developing and training successful machine learning (ML) fraud models requires access to large amounts of high-quality data. Sourcing this data is challenging because available...
Private Ads Prediction with DP-SGD
Posted by Krishna Giri Narra, Software Engineer, Google, and Chiyuan Zhang, Research Scientist, Google Research
Ad technology providers widely use machine learning (ML) models to...
Build a robust text-based toxicity predictor
With the growth and popularity of online social platforms, people can stay more connected than ever through tools like instant messaging. However, this raises...
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