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What is market manipulation in cryptocurrency?

TutoSartup excerpt from this article:

Market manipulation in cryptocurrency involves artificially influencing prices or trading volume to deceive investors…
Market manipulation in the crypto sphere, explained In the cryptocurrency space, market manipulation refers t…

Boosting developer productivity: How Deloitte uses Amazon SageMaker Canvas for no-code/low-code machine learning

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He brings strong thought leadership experience to engagements and thrives in supporting executive stakeholders achieve performance improvement and modernization goals across industries using AI/ML…The ability to quickly build and deploy machine learning (ML) models is becoming increasingly important in today’s data-driven world… However, building ML models requires significant time, effort,…

Experience the new and improved Amazon SageMaker Studio

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Launched in 2019, Amazon SageMaker Studio provides one place for all end-to-end machine learning (ML) workflows, from data preparation, building and experimentation, training, hosting, and monitoring… As we continue to innovate to increase data science productivity, we’re excited to announce the improved SageMaker Studio experience, which allows users to select the managed Integrated Developm…

Amazon SageMaker simplifies setting up SageMaker domain for enterprises to onboard their users to SageMaker

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That’s why today we are excited to announce the new onboarding experience that makes it effortless for you to set up Amazon SageMaker domains for your organization…
Let’s see what’s new and how to get started!
Introducing the SageMaker domain setup UI for organizations
The new UI for organizations lets you set up a SageMaker domain via the AWS Console and onboard users and organizatio…

Package and deploy classical ML and LLMs easily with Amazon SageMaker, part 2: Interactive User Experiences in SageMaker Studio

TutoSartup excerpt from this article:
Amazon SageMaker is a fully managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning (ML) models at scale… SageMaker makes it easy to deploy models into production directly through API calls to the service…
SageMaker provides a variety of options to deploy models… The SageMaker Python SDK is a high-level Python API that abst…

Package and deploy classical ML and LLMs easily with Amazon SageMaker, part 1: PySDK Improvements

TutoSartup excerpt from this article:
Amazon SageMaker is a fully managed service that enables developers and data scientists to quickly and effortlessly build, train, and deploy machine learning (ML) models at any scale… SageMaker makes it straightforward to deploy models into production directly through API calls to the service… Although it provides various entry points like the SageMaker Python SDK, AWS SDKs, the SageMaker cons…

Use CodeWhisperer to identify issues and use suggestions to improve code security in your IDE

TutoSartup excerpt from this article:
By using the security scanning capabilities of Amazon CodeWhisperer, you can identify potential security issues in your integrated development environment (IDE) as you code… After you identify these potential issues, CodeWhisperer can offer suggestions on how you can refactor to improve the security of your code early enough to help avoid the frustration of a last-minute change to your code… …