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GDPR compliance checklist

IBM Journey to AI blog

A data controller is any organization, group or person that obtains personal data and determines how it is used. Returning to a previous example, a company collecting phone numbers for marketing purposes would be a controller. A legitimate interest is a benefit the controller or another party could gain by processing the data.

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How to implement the General Data Protection Regulation (GDPR)

IBM Journey to AI blog

A data controller is any organization, group, or person that collects personal data and determines how it is used. Processors include third parties that process personal data on a controller’s behalf, like a marketing firm that analyzes user data to help a business understand key customer demographics.

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Create high-quality datasets with Amazon SageMaker Ground Truth and FiftyOne

AWS Machine Learning Blog

To create this app, they need a high-quality dataset containing clothing images, labeled with different categories. After you’ve unzipped them both, create a parent directory fashion200k, and move the labels and women folders into this. A retail company is building a mobile app to help customers buy clothes.

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How Earth.com and Provectus implemented their MLOps Infrastructure with Amazon SageMaker

AWS Machine Learning Blog

The plant category was selected first for implementation. The solution for the plant model was redesigned by implementing a multi-model parent/child architecture. This was achieved by training child models on grouped subsets of plant data and training the parent model on a set of data samples from each subcategory.

DevOps 94
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The EU’s Corporate Sustainability Reporting Directive explained

IBM Journey to AI blog

CSRD will be mandatory for all large European companies and companies listed on the EU regulated markets, including EU subsidiaries of non-EU parent companies. CSRD is mandatory for all large European companies and those listed on the EU-regulated markets, including EU subsidiaries of non-EU parent companies.

ESG 111
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Generate a counterfactual analysis of corn response to nitrogen with Amazon SageMaker JumpStart solutions

AWS Machine Learning Blog

Fisher called randomized controlled trial aims to break possible confounding. However, in the absence of randomized control trials, there is a need for causal inference purely from observational data. This solution uses both data from simulated randomized control trials (RCTs) as well as observational data from satellite imagery.

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Design Patterns Every Software Engineer Should Know

Mlearning.ai

It promotes code reuse and establishes a relationship between classes (parent and child classes). Example : Let’s say we have a parent class `Vehicle` and two child classes `Car` and `Motorcycle`. Categories of Design Patterns Design patterns are broadly categorized into three types: Creational Patterns : Simplify object creation.