PyTorch library is for deep learning. Some applications of deep learning models are to solve regression or classification problems. In this post, you will discover how to use PyTorch to develop and evaluate neural network models for regression problems. After completing this post, you will know: How to load data from scikit-learn and adapt it …
GUEST: Stakeholder management is difficult. Leaders walk a tightrope: They must build trust between employees, investors, partners and impacted stakeholders who have different (sometimes competing) aims and much to lose. And, in an increasingly automated age where AI and other technologies integrate into workflows, the usual ways of winning trust m…Read More
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Until we have adequately responsible AI, here’s how we can protect ourselves from opaque and thus dangerous AI already affecting our lives.Read More
Plus: The FTC cracks down on GoodRx, Microsoft boots “verified” phishing scammers, researchers disclose EV charger vulnerabilities, and more.
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Predictive content works. By leveraging AI-powered marketing tools, it allows brands to predict what customers will be interested in and deliver it to them in a crowded digital marketplace using content personalization. Marketers across a variety of sectors are leveraging predictive content to optimize each point of the purchase journey. As a result, predictive content …
PyTorch library is for deep learning. Some applications of deep learning models are to solve regression or classification problems. In this post, you will discover how to use PyTorch to develop and evaluate neural network models for binary classification problems. After completing this post, you will know: How to load training data and make it …
Read more “Building a Binary Classification Model in PyTorch”
Posted by Zvika Ben-Haim and Omer Nevo, Software Engineers, Google Research As global temperatures rise, wildfires around the world are becoming more frequent and more dangerous. Their effects are felt by many communities as people evacuate their homes or suffer harm even from proximity to the fire and smoke. As part of Google’s mission to …
Read more “Real-time tracking of wildfire boundaries using satellite imagery”
Preprocessing and transforming raw data into features is a critical but time consuming step in the ML process. This is especially true when a data scientist or data engineer has to move data across different platforms to do MLOps. In this blogpost, we describe how we streamline this process by adding two feature engineering capabilities …
Read more “How to use advance feature engineering to preprocess data in BigQuery ML”