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Complete Guide to run Machine learning on Spark using Spark MLLIB

Analytics Vidhya

Introduction The digital transformation has given rise to the release of massive amounts of data each second, and companies’ servers are not that powerful to bear the load. The post Complete Guide to run Machine learning on Spark using Spark MLLIB appeared first on Analytics Vidhya.

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Lessons learned while helping enterprises adopt machine learning

O'Reilly on Data

The O’Reilly Data Show Podcast: Francesca Lazzeri and Jaya Mathew on digital transformation, culture and organization, and the team data science process. I wanted to learn some of the processes and tools they use when they assist companies in beginning their machine learning journeys.

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An Important Guide To Unsupervised Machine Learning

Smart Data Collective

We’re living in an era of digital switch-over with only one constant – evolve. And that digital transformation is being introduced by high-tech solutions. Machines, artificial intelligence (AI), and unsupervised learning are reshaping the way businesses vie for a place under the sun. Unsupervised ML: The Basics.

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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

2) MLOps became the expected norm in machine learning and data science projects. 3) Concept drift by COVID – as mentioned above, concept drift is being addressed in machine learning and data science projects by MLOps, but concept drift so much bigger than MLOps.

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AI is the boost Mercedes-Benz needs to digitally transform

CIO Business Intelligence

Mercedes-Benz has long relied on machine learning and classic AI. With digitization and the increasing use of powerful AI systems, job profiles are changing in production and administration. Turn2Learn is an initiative of our HR department that focuses on digitization and AI.

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Beyond the hype: Do you really need an LLM for your data?

CIO Business Intelligence

Think about it: LLMs like GPT-3 are incredibly complex deep learning models trained on massive datasets. Even basic predictive modeling can be done with lightweight machine learning in Python or R. with over 15 years of experience in enterprise data strategy, governance and digital transformation.

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Harness AI’s potential and navigate disruption with Digital Realty

CIO Business Intelligence

AI’s evolution: Machine learning, deep learning, GenAI AI encompasses a suite of rapidly evolving technologies. It’s a journey that started in earnest during the early 2000s with machine learning (ML). Then came deep learning in the 2010s, further enhancing perception capabilities in computer vision.