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How to take machine learning from exploration to implementation

O'Reilly Media - Data

Because ML relies on large amounts of (labeled) data, learning how to design, build, and maintain robust data pipelines is important for productionizing machine learning. Over the last few years, many companies have begun rolling out data platforms for business intelligence and business analytics. Ethics and Privacy".

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Online learning marketplace Udemy is raising up to $100M at a $3.32B valuation

TechCrunch

The company has filed paperwork for the fundraise in Delaware, first discovered by Justin Byers and the team at Prime Unicorn Index.

Education 328
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State of the CIO, 2025: CIOs set the AI agenda

CIO

Khare has also staffed IT with people who have expertise in specific areas of the business the shop floor, legal, or supply chain, for example to create greater synergy and understanding of AI as well as general IT initiatives. CIO.com We identified people who dont know IT, but understand how to apply technology, Khare explains.

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Firebolt raises $37M to take on Snowflake, Amazon and Google with a new approach to data warehousing

TechCrunch

Sisense nabs $100M at a $1B+ valuation for accessible big data business analytics. “The only thing I know how to do is build startups,” he joked. “Data warehouses are solving yesterday’s problem, which was, ‘How do I migrate to the cloud and deal with scale?

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Best practices and lessons for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock

AWS Machine Learning - AI

We also provide insights on how to achieve optimal results for different dataset sizes and use cases, backed by experimental data and performance metrics. Tools and APIs – For example, when you need to teach Anthropic’s Claude 3 Haiku how to use your APIs well.

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Best business analyst certifications to level up your career

CIO

Top skills for business analysts include project management, data analysis, business analysis, user stories, and user acceptance, according to Zippia. And the top employers of business analysts include Google, Citi, JPMorgan Chase & Co., Amazon, Capgemini, and IBM.

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How to use Multiple Databricks Workspaces with one dbt Cloud Project

Xebia

Introduction In a previous Blog post, I discussed how to manage multiple BigQuery projects with one dbt Cloud project. You can follow the steps on how to set up your deployment pipeline in this article ( CI/CD in dbt Cloud with GitHub Actions: Automating multiple environments deployment ).

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