Amazon SageMaker
IBM Watson Studio
TensorFlow
Saturn Cloud
Apache Zeppelin
Azure Machine Learning Service
Google BigQuery
Azure Machine Learning Studio
GhostMyData
Delete Me
Incogni
Optery
Privacy Bee
Kanary
JustDelete.me
DeleteMyInfo
GhostMyData is a privacy protection platform that scans 1,500+ data broker sites to find your exposed personal information. We automatically submit legal CCPA and state privacy law deletion requests on your behalf, verify each removal, and continuously monitor for re-listings.
Key features: - 1,500+ data broker coverage (3.5x more than Incogni, 17x more than DeleteMe's auto-removal) - Legal CCPA deletion requests, not just opt-out forms - Automated re-removal when brokers re-list your data - Family plans protect up to 5 household members - Live broker compliance report showing which brokers actually delete - Free scan with 3 free trial removals โ no credit card required
Plans start at $9.99/month billed annually.
Amazon SageMaker GhostMyDataGhostMyData's answer:
More coverage (1,500+ brokers), lower price ($9.99/mo vs $14.98 for Incogni), free scan with 3 free trial removals (no credit card), family plans covering 5 members, and transparent compliance reporting. We also use dual search engines (Google + Brave) to find exposures competitors miss.
GhostMyData's answer:
We cover 1,500+ data broker sites โ 3.5x more than Incogni and 17x more than DeleteMe's auto-removal. We send legally-enforceable CCPA deletion requests, not just opt-out forms. And we publish a live broker compliance report showing which brokers actually delete your data and which ignore requests.
GhostMyData's answer:
Privacy-conscious individuals and families who want their personal data removed from people-search sites and data brokers. Also businesses protecting employees from social engineering attacks that exploit exposed personal data.
GhostMyData's answer:
I discovered my full name, home address, phone numbers, and family members' details were publicly listed on hundreds of people-search sites โ available to anyone for under a dollar. After spending 40+ hours manually submitting opt-out forms, I realized the data just comes back. So I built GhostMyData to automate the entire process.
GhostMyData's answer:
Next.js, React, TypeScript, Prisma ORM, PostgreSQL, Vercel, Resend for transactional email, Amazon SES for broker CCPA emails, Google and Brave Search APIs for exposure detection.
GhostMyData's answer:
I built GhostMyData because I was tired of finding my personal information โ home address, phone numbers, family members โ plastered across dozens of data broker sites. After trying other services, I realized most only cover a fraction of brokers and charge premium prices for basic scans. GhostMyData scans 1,500+ data broker sites, sends legally-backed CCPA deletion requests on your behalf, and tracks every removal to completion. The automated removal pipeline handles everything from opt-out form submissions to verification that your data was actually taken down. We also offer family plans so you can protect your entire household under one subscription, and our daily privacy digest keeps you informed without email overload. The whole platform is designed around transparency โ you see exactly what was found, what's been removed, and what's still in progress.
Based on our record, Amazon SageMaker seems to be more popular. It has been mentiond 47 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Consider Cloud Processing: For large-scale analysis, tools like Google Colab Pro or AWS SageMaker provide the computational power you need without upgrading your local machine. - Source: dev.to / 4 months ago
Hyperparameter tuning across multiple models presents a common challenge for ML practitioners. Tracking experiment results, managing configurations, and ensuring reproducibility becomes increasingly difficult as the number of models grows. This post walks through a solution that combines Amazon SageMaker, MLflow, and Optuna to create an automated, scalable hyperparameter optimization pipeline. - Source: dev.to / 7 months ago
Compute: This is the big one. It's the cost of running EC2 instances with GPUs (like the g5 or p4 series) for model training and deployment. It also includes the compute for services like Amazon SageMaker and AWS Batch. - Source: dev.to / 12 months ago
Leverage Amazon SageMaker: For machine learning (ML) tasks, users can leverage Amazon SageMaker to analyze large datasets and build predictive models. - Source: dev.to / over 1 year ago
MLflow, an Apache 2.0-licensed open-source platform, addresses these issues by providing tools and APIs for tracking experiments, logging parameters, recording metrics and managing model versions. It also helps to address common machine learning challenges, including efficiently tracking, managing, deploying ML models and enhancing workflows across different ML tasks. Amazon SageMaker with MLflow offers secure... - Source: dev.to / over 1 year ago
IBM Watson Studio - Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.
Delete Me - Delete Me is an app that lets you delete your accounts from multiple platforms, including social media sites, e-commerce sites, and many others, with just a few steps.
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Incogni - Take back control of your data privacy!
Saturn Cloud - ML in the cloud. Loved by Data Scientists, Control for IT. Advance your business's ML capabilities through the entire experiment tracking lifecycle. Available on multiple clouds: AWS, Azure, GCP, and OCI.
Optery - See the private info data brokers post about you online