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Driving advanced analytics outcomes at scale using Amazon SageMaker powered PwC’s Machine Learning Ops Accelerator

AWS Machine Learning

The solution allows for the familiar use of programming languages like Python and R, development tools such as Jupyter Notebook, and ML frameworks through a configuration file. The solution deploys two linked pipelines. About the Authors Kiran Kumar Ballari is a Principal Solutions Architect at Amazon Web Services (AWS).

Analytics 132
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Configure an AWS DeepRacer environment for training and log analysis using the AWS CDK

AWS Machine Learning

With the advancements in automation and configuring with increasing levels of abstraction to set up different environments with IaC tools, the AWS CDK is being widely adopted across various enterprises. Make sure you have the credentials and permissions to deploy the AWS CDK stack into your account. Navigate to the AWS Cloud9 console.

Scripts 98
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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

Many organizations have been using a combination of on-premises and open source data science solutions to create and manage machine learning (ML) models. Data science and DevOps teams may face challenges managing these isolated tool stacks and systems. SageMaker comes with the necessary tools for scaling a model during inference.

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Automated exploratory data analysis and model operationalization framework with a human in the loop

AWS Machine Learning

According to a Forbes survey , there is widespread consensus among ML practitioners that data preparation accounts for approximately 80% of the time spent in developing a viable ML model. The tools and technologies to assist with data preprocessing have been growing over the years. Prerequisites. instance_count = 2.

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Run your local machine learning code as Amazon SageMaker Training jobs with minimal code changes

AWS Machine Learning

SageMaker Training also helps data scientists with advanced tools such as Amazon SageMaker Debugger and Profiler to debug and analyze their large-scale training jobs. He is passionate about building next-gen AI products and works on software and tools to make large-scale machine learning easier for customers. Vikram Elango is a Sr.

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Streamline Sales Processes with Enterprise CPQ

Cincom

CPQ solutions enhance sales effectiveness by simplifying quoting, centralizing product data, recommending optimal deals, and automating repetitive administrative workflows. Core CPQ features include: Guided Selling Tools: CPQ applies configuration requirements and logic when building customized quotes.

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EVERYTHING YOU NEED TO KNOW ABOUT STIR/SHAKEN

Hodusoft

Interestingly, a James Bond-esque high-tech tool is fighting against robocalls. In later years, STIR/SHAKEN was developed jointly by the SIP Forum and the Alliance for Telecommunications Industry Solutions (ATIS) to efficiently implement the Internet Engineering Task Force (IETF). The answer is a resounding ‘YES!’