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9 min read The week from Android, Apple and Microsoft rolled out these announcements and updates: Android Prepare your app to support predictive back gestures â€“ Since, the company introduced gesture navigation in Android 10, users have signaled they want to understand where a back gesture will take them before they complete it. As the first step to addressing this need, the company has been developing a predictive back gesture.

The week from Apple and Microsoft rolled out these announcements and updates: Apple Upcoming tax and price changes for apps and in-app purchases – Starting next week, prices of apps and in-app purchases (excluding auto-renewable subscriptions) on the App Store will increase in Ghana and Turkey. In Ghana, these increases also consider a new value-added tax of 12.5% and additional levies of 6%.

5 min read Here are the updates from AWS SageMaker, SAP HANA, and Teradata. AWS SageMaker Create Amazon SageMaker model building pipelines and deploy R models using RStudio on Amazon SageMaker: This post explains the process of creating a SageMaker pipeline using R in their RStudio environment and showcased how to deploy their R model on a serverless endpoint on SageMaker using the SageMaker model registry.

5 min read This week Microsoft, AWS, Google and Meta released these announcements and updates. Microsoft Dataverse Govern low-code assets with Managed Environments for Microsoft Power Platform – Managed Environments offer a set of enhanced out-of-the-box governance capabilities that will simplify, automate, and streamline IT administration of Microsoft Power Platform at scale.

Home DataPro Data Past Issues Viterbi algorithm for HMM, Testing the Kafka cluster & ML with Python... 7 min read Here are the updates from Google Data Cloud, AWS SageMaker and Oracle Database Insider. Google Data Cloud Access larger dataset faster and easier to accelerate your ML models training in Vertex AI: In this article, they used Filestore to demonstrate how to access files in an NFS share by mounting it to Vertex AI.

6 min read Here are the updates from AWS Database, IBM DataOps and TensorFlow. AWS Database Perform parallel load for partitioned data into Amazon S3 using AWS DMS – This post demonstrates how to use parallel load for partitioned data in AWS DMS version 3.4.6 to improve data migration times into Amazon S3.

5 min read Here are the updates from PyTorch, Microsoft Dataverse, and AWS Data Exchange. PyTorch Introducing the PlayTorch app: Rapidly Create Mobile AI Experiences: The PlayTorch team announced that they have partnered with Expo to change the way AI-powered mobile experiences are built. What Every User Should Know About Mixed Precision Training in PyTorch: PyTorch’s torch.amp module makes it easy to get started with mixed precision, train faster and reduce memory usage.

3 min read Here are the updates from AWS Machine Learning, Microsoft Azure, and Google Cloud. AWS Machine Learning AWS Deep Learning Challenge sees innovative and impactful use of Amazon EC2 DL1 instances: participants from academia, startups, and enterprise organizations joined to test their skills and train a deep learning model of their choice using Amazon Elastic Compute Cloud (Amazon EC2) DL1 instances and Habana’s SynapseAI SDK.