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5 Reasons to Consider a Data Science Bootcamp Before Higher Ed

ODSC - Open Data Science

You might have heard that to get a job in data science, you need a degree in the field. This condensed schedule allows you to explore different subjects and topics to find your passion before deciding to leave your job for a longer program. In fact, there are several reasons to consider attending a mini-bootcamp.

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Streaming data to a BigQuery table with GCP

Mlearning.ai

Specify locations and default parameters Below is a list of required parameters to set for creating a Dataflow Schedule to stream data from a url. The Dataflow Scheduler can also sort certain logged information to an appropriate database (ie: incorrectly logged data, positive review, negative review).

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Problem-solving tools offered by digital technology

Data Science Dojo

What do ALL jobs have in common? One can (correctly) argue that essentially, all jobs require the worker in question to accomplish one basic or vital goal: solve (a) problem(s). This week, we continue that metaphorical (learning) journey with a fun fact. Better yet, a riddle. To the rescue (!): To recap, those twelve elements (e.g.

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The inside scoop on the Future of Data and AI conference’s record-breaking success

Data Science Dojo

With the next conference scheduled to be held in July, here are some reasons why data scientists and enthusiasts should attend: Inside scoop of the Future of Data and AI conference 1.

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Schedule Batch Inference of Machine Learning Model on Azure Cloud with Container Services and Logic…

Mlearning.ai

Schedule Batch Inference of Machine Learning Model on Azure Cloud with Container Services and Logic App Photo by Victoire Joncheray on Unsplash I. Use Logic App to schedule the ACI run with a simple workflow below. Simple Logic App to Schedule ACI run III.

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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning Blog

MLOps – The architecture implements a SageMaker model monitoring pipeline for continuous model quality governance by validating data and model drift as required by the defined schedule. Query training results: This step calls the Lambda function to fetch the metrics of the completed training job from the earlier model training step.

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Introducing a blog series: The key trio of software development, project management, and data science

Data Science Dojo

Amidst the mercurial evolving global digital economy, how can job-seekers harness the lucrative value of those fields–esp. I had to reckon with an unfair job loss, and chaotic seesaw-moves between China and the USA, and Philadelphia and Kansas, etc. data science, vis-a-vis improving their employability? HTML, CSS, and JavaScript, etc.!