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Oracle continues to lay off staff in the US

CIO Business Intelligence

billion and announced a first round of layoffs, according to published reports. Even though there is still overall job growth in the sector, fears of a recession have throttled the positive trend, according to an analysis of US Bureau of Labor Statistics by Janco, a US-based international consulting firm. Technology Industry

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SAP raises on-prem support costs again to drive cloud adoption

CIO Business Intelligence

Our new innovations will not be available for on-premise or hosted on-premise ERP customers on hyperscalers.” For example, the UK’s Office of National Statistics reported annual consumer price inflation of 7.9% This is how we will deliver these innovations with speed, agility, quality, and efficiency. for June 2023 , down from 9.4%

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Data Science Journey Walkthrough – From Beginner to Expert

Smart Data Collective

Data science needs knowledge from a variety of fields including statistics, mathematics, programming, and transforming data. Mathematics, statistics, and programming are pillars of data science. In data science, use linear algebra for understanding the statistical graphs. It is the building block of statistics.

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Take Your SQL Skills To The Next Level With These Popular SQL Books

datapine

A host of notable brands and retailers with colossal inventories and multiple site pages use SQL to enhance their site’s structure functionality and MySQL reporting processes. Originally published in 2018, the book has a second edition that was released in January of 2022. 4) “SQL Performance Explained” by Markus Winand.

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Deciphering The Seldom Discussed Differences Between Data Mining and Data Science

Smart Data Collective

The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Previously, such problems were dealt with by specialists in mathematics and statistics. Statistics, mathematics, linear algebra. It hosts a data analysis competition. Use Kaggle.

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What to Do When AI Fails

O'Reilly on Data

And last is the probabilistic nature of statistics and machine learning (ML). Because statistics: Last is the inherently probabilistic nature of ML. Earlier this month, the FTC even published specific guidelines related to AI , hinting at enforcement actions to come. First and foremost is the tendency for AI to decay over time.

Risk 359
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What you need to know about product management for AI

O'Reilly on Data

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. You might establish a baseline by replicating collaborative filtering models published by teams that built recommenders for MovieLens, Netflix, and Amazon.