TheSequence - 🏷 Data Labeling for ML, part 3
Was this email forwarded to you? Sign up here Over 6 months ago, we started a series of stories on data labeling for ML, learning about the experience gained by engineers and entrepreneurs behind the leading data labeling solutions, Toloka, Snorkel, LabelBox, and more. We will continue to share more on the topic. In the meantime, we would like to check a few things with you via a simple survey. It will take about 5 minutes. The survey invites all readers of TheSequence and their colleagues. The first 300 respondents will receive a cheat sheet with 25+ materials on building AI business on data and a $50 promo code to kickstart their data labeling project! Happy Holidays! We appreciate your help.
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✨ Edge#150: Microsoft’s SynapseML is a New Framework for Large Scale Machine Learning
Thursday, December 16, 2021
Microsoft signals a commitment to this new framework that becomes an important vehicle to simplify the implementation of large-scale ML applications
📺 3 tips to optimize your infrastructure for data-driven targeting*
Wednesday, December 15, 2021
Watch Now: Real-Time Segmentation to Improve Customer Experience
🔎 Edge#149: Model Tracing and Lineage
Tuesday, December 14, 2021
In this issue: we discuss Model Tracing and Lineage, +MLTrace, +M3
🕹 A Massive Leap in ML for Gaming
Sunday, December 12, 2021
📝 Editorial Gaming has been at the center of the ML renaissance for the last few years. In many ways, the deep learning race was kicked off by AlphaGo performance again Go's legend Le Sedol.
📝 The Definitive ML Observability Checklist*
Friday, December 10, 2021
The machine learning infrastructure ecosystem is confusing, crowded and complex. With so many companies making competing claims, it can be easy to get lost. However, the need for better ML
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