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Top NLP Skills, Frameworks, Platforms, and Languages for 2023

ODSC - Open Data Science

NLP Skills for 2023 These skills are platform agnostic, meaning that employers are looking for specific skillsets, expertise, and workflows. The chart below shows 20 in-demand skills that encompass both NLP fundamentals and broader data science expertise. Google Cloud is starting to make a name for itself as well.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

As you delve into the landscape of MLOps in 2023, you will find a plethora of tools and platforms that have gained traction and are shaping the way models are developed, deployed, and monitored. For example, if you use AWS, you may prefer Amazon SageMaker as an MLOps platform that integrates with other AWS services.

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40 Must-Know Data Science Skills and Frameworks for 2023

ODSC - Open Data Science

The role of a data scientist is in demand and 2023 will be no exception. To get a better grip on those changes we reviewed over 25,000 data scientist job descriptions from that past year to find out what employers are looking for in 2023. However, each year the skills and certainly the platforms change somewhat.

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Edge Impulse Launches “Bring Your Own Model” for ML Engineers

Towards AI

Last Updated on April 4, 2023 by Editorial Team Introducing a Python SDK that allows enterprises to effortlessly optimize their ML models for edge devices. We sketch out ideas in notebooks, build data pipelines and training scripts, and integrate with a vibrant ecosystem of Python tools.

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How to Optimize Power BI and Snowflake for Advanced Analytics

phData

How to Optimize Power BI and Snowflake for Advanced Analytics Spencer Baucke May 25, 2023 The world of business intelligence and data modernization has never been more competitive than it is today. In a perfect world, Microsoft would have clients push even more storage and compute to its Azure Synapse platform.

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How to Ingest Salesforce Data into Snowflake Using Salesforce Sync Out

phData

Salesforce Sync Out is a crucial tool that enables businesses to transfer data from their Salesforce platform to external systems like Snowflake, AWS S3, and Azure ADLS. The Salesforce Sync Out connector moves Salesforce data directly into Snowflake, simplifying the data pipeline and reducing latency.

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How to Version Control Data in ML for Various Data Sources

The MLOps Blog

Dolt LakeFS Delta Lake Pachyderm Git-like versioning Database tool Data lake Data pipelines Experiment tracking Integration with cloud platforms Integrations with ML tools Examples of data version control tools in ML DVC Data Version Control DVC is a version control system for data and machine learning teams.

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