Learn about Insight Engines for #InsightsDiscovery and about the Mindbreeze InSpire Appliance at @Mindbreeze Academy: https://
mindbreeze.com/academy?ls=22
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#KnowledgeManagement #AI #BigData #LinkedData #KnowledgeGraph #Knowledgebase #Automation #Semantic #NLProc #DataStrategy #DataScience
RESEARCH
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Insight Engines and Mindbreeze InSpire Appliance Academy Learning
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4 Essential Books for Data Science and AI
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4 essential books for #DataScience #AI #DataScientists
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• Designing #ML Systems: https://
amzn.to/3V1IOex • #DeepLearning with #Python: https://
amzn.to/3H8xkAe • Transformers for #NLProc: https://
amzn.to/3LriRC2 • #MachineLearning with PyTorch… https://
amzn.to/41YhksJ -
Kaggle Book: Data Analysis and Machine Learning for Competitive Data Science
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The #Kaggle Workbook is a companion to this book with 534 pages and 70+ 5-star ratings: “The @Kaggle Book — Data Analysis and #MachineLearning for Competitive #DataScience" http://
amzn.to/3ECEs5A
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#BigData #DataScientists #AI #DeepLearning #Kaggle #Coding #Python -
SAS Innovate 2023: Analytics Conference on Data Science and AI
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#Analytics conferences have a solid agenda of #DataScience #MachineLearning and #AI. Get all that and more at #SASInnovate 2023 in Orlando on May 8-10. Register now and start building your agenda here: https://
sas.com/gms/redirect.j
sp?detail=PLN2755_1799220624
… by @SASsoftware ———
#SASVisionary #DataLeadership #ML -
Kirk Borne Reviews The Kaggle Workbook for Data Science
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I recently got a copy of "The #Kaggle Workbook: Self-learning exercises and valuable insights for @Kaggle #DataScience competitions": https://
amzn.to/41jKa7r by @tng_konrad and @LucaMassaron via @PacktPublishing ————
#BigData #DataScientists #AI #MachineLearning #Python #Coding -
Synthetic Data Becoming Essential Tool in Data-Driven Era
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Synthetic data is quickly becoming an essential tool in our data-driven era. Learn more in this article by @IBMResearch
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Five Ways Synthetic Data Solves Privacy and AI Challenges
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Stricter privacy rules and larger #AI models have made gathering and labeling real, high-quality data increasingly difficult.
— IBM Data, AI & Automation (@IBMData) 24 avril 2023
Because of this, synthetic data has become indispensable. Here's five ways that it’s being used ⬇️ pic.twitter.com/KjUmmumCNeStricter privacy rules and larger #AI models have made gathering and labeling real, high-quality data increasingly difficult. Because of this, synthetic data has become indispensable. Here's five ways that it’s being used