What is driving adoption of AI in business? What is stalling it? Is it trustworthy? On September 30, we’re going live with a panel of experts from SAS, Deloitte, and IDC to discuss this, and the data from a new report on the topic. #AIImpactReport Click attend and be sure to
DATA
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Databricks Partners with LSEG for AI-Ready Financial Data
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Today, we’re excited to announce a strategic partnership with @LSEGplc to bring AI-ready financial data natively to Databricks via Delta Sharing. With this collaboration, teams can combine enterprise and LSEG data to rapidly build governed AI agents for investment analytics,
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Scale AI’s Data Labeling Quality Problem: A Critical Analysis
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> be me
> Alexandr Wang, born January 1997
> age 19, drop out of MIT
> co-found Scale AI
> "what if we label data, but mid?"
> convince every LLM company that this is fine > 2016–2023
> flood the market with barely-labeled goat photos and out-of-context Reddit takes
> call it -
IIoT Manufacturing Supply Chain Innovation Conference Call
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Not another keynote. Not another sales pitch. Only real conversations. Apply to join the stage. Apply now to speak at IIoT World Manufacturing & Supply Chain Day, Dec 10-11, 2025. For more details, visit: https://
buff.ly/WU1618e #Manufacturing #SupplyChain #CallForSpeakers -
Introduction to Modern Statistics: Free Online Resource Available
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Introduction to Modern #Statistics: http://
openintro-ims.netlify.app Choose:
Read it FREE online.
Or name-your-own-price for the PDF.
Or buy the book here: http://
amzn.to/3waq52h
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#StatisticalLiteracy #Mathematics #MachineLearning #DataScience #DataScientist #DataLiteracy -
Become a Data Science Superhero with Comprehensive R and Python Books
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Be a #DataScience superhero with one (or both) of these HUGE comprehensive #Coding books:
1) R: http://
amzn.to/2SqA2Wi (832 pages)
2) #Python: http://
amzn.to/3X7131Z (552 pages)
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#Rstats #Statistics #Analytics #AI #ML #MachineLearning #DataLiteracy #DataScientist -
Comprehensive Machine Learning Guide for Finance and Algorithmic Trading
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Comprehensive guide to applying #MachineLearning in #Finance: https://
github.com/mfrdixon/ML_Fi
nance_Codes
… by Matthew F. Dixon …includes some chapters (PDF) from his book. The book: http://
amzn.to/3BHA47J
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#AlgorithmicTrading #Fintech #ML #DataScience #Statistics #Quant #DataScientist -
Outlier Detection in Python Guide for Data Scientists
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Outlier Detection in #Python — http://
amzn.to/49GMXMh
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#Statistics #MachineLearning #DataScientist #Coding #OutlierDetection #AnomalyDetection #Analytics #DataScience -
Account Aggregator Innovation for India Financial Data Integration
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Very cool idea and if you’re in India you could possibly use account aggregator to pull this off quick
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Linear and Logistic Regression Methods in Data Science
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#infographics by @rfeers Simple Linear Regression
Multiple-Variable Linear Regression
Simple Logistic Regression
Logistic Regression with Multiple Classes
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#Statistics #DataScience #Mathematics #DataScientist #Algorithms #Analytics