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Learning SQL the Hard Way

KDnuggets

Simply put: This post is about installing SQL, explaining SQL and running SQL.

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Top 5 must-have Data Science skills for 2020

KDnuggets

The standard job description for a Data Scientist has long highlighted skills in R, Python, SQL, and Machine Learning. With the field evolving, these core competencies are no longer enough to stay competitive in the job market.

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22 Widely Used Data Science and Machine Learning Tools in 2020

Analytics Vidhya

The post 22 Widely Used Data Science and Machine Learning Tools in 2020 appeared first on Analytics Vidhya. Overview There are a plethora of data science tools out there – which one should you pick up? Here’s a list of over 20.

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Unify structured data in Amazon Aurora and unstructured data in Amazon S3 for insights using Amazon Q

AWS Machine Learning Blog

You can verify the output by cross-referencing the PDF, which has a target as $12 million for the in-store sales channel in 2020. In the Configure VPC and security group section, choose the VPC and subnets where your Aurora MySQL database is located, and choose the default VPC security group. For IAM role , choose Create a new service role.

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Becoming A Data Scientist In 2020: Skills, Degrees, And Work Experience

Smart Data Collective

The future of data science jobs continues to be brighter than ever in 2020. Furthermore, the typical data scientist in 2020 has held this prestigious title for an average of 3.5 According to our data, the typical data scientist in 2020 holds a Bachelor (13%), a Master’s degree (56%), or a Ph.D. (27%) Level of Education.

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Sophos firewall breach: 81,000 devices compromised by Chinese national

Dataconomy

A federal indictment has charged Chinese national Guan Tianfeng with exploiting a zero-day vulnerability in Sophos firewalls, affecting approximately 81,000 devices worldwide in 2020. Chinese national indicted for exploiting Sophos firewall vulnerabilities The vulnerability, classified as CVE-2020-12271 and rated with a high CVSS score of 9.8,

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Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock

AWS Machine Learning Blog

To overcome these limitations, we propose a solution that combines RAG with metadata and entity extraction, SQL querying, and LLM agents, as described in the following sections. Typically, these analytical operations are done on structured data, using tools such as pandas or SQL engines.

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