Data Science & Machine Learning thought leader. Founder and Chief Data Scientist Abbott Analytics. Author of Applied Predictive Analytics (Wiley).

San Diego
Joined December 2008
how about a George Box quote corollary: "no data is clean, but most is useful". #tdwiaccelerate
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Finished my workshop on automl + GenAI at #MLWeek last week. I'm loving being able to introduce ideas into prompts for Claude and/or ChatGPT to do things I love doing but rarely see and get code to execute (it wrote over 6000 lines of code for me to use in demos...I created these within a few hours). One example is using ISLE (minitab.com/content/dam/www/…) which compresses GBM ensembles: reducing # of trees and tends to be more accurate on hold-out data. Prompt->code->run it.
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Appreciate the insights on why LLMs struggle with breaking news. I wonder how many humans are employed to fix them? This is why I recommend to those who ask me to not use LLMs open loop for mission critical tasks without human validation. open.substack.com/pub/garyma…
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🧠 Predictive or generative AI? Why not both. Join Dean Abbott at #MLWeek for a session on hybrid AI for retail fraud detection. 📅 June 3 | ⏰ 10:30 AM 🔗machinelearningweek.com/sess… #machinelearning @deanabb
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Read my latest @Forbes article. Stakeholders involved with #predictiveAI must ramp up on a semi-technical understanding that comes down to 1) what's predicted, 2) how well, and 3) what's done about it. forbes.com/sites/ericsiegel/… #bizML
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I'll be back at Machine Learning Week, EU, this year in Munich! Changing my workshop to an AutoML/Predictive AI/Generative AI topic this time. Hope to see many of you there! #MachineLearning #AI #Workshop #MachineLearningWeekEU #PredictiveAnalytics
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Dean Abbott retweeted
👇 Devastating new paper. The lack of reliable world models will forever hobble LLMs (exactly as I conjectured in 2019).
Can language models be used as world simulators? In our ACL 2024 paper, we show -- not really. GPT-4 is only ~60% accurate at simulating state changes based on common-sense tasks, like boiling water. Preprint: arxiv.org/pdf/2406.06485 @allen_ai @MSFTResearch @aclmeeting
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So glad you found it so helpful! Thanks for your comments and questions during the workshop.
Had an incredible time at @MLWeekUS ! The session on predictive and generative AI by @deanabb were truly insightful. Excited to apply what I've learned and see where this cutting-edge tech takes us next! #MLWeek #AI #MachineLearning
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Onsite edition of #SanDiego #KNIME Data Connect will take place on Jan 9, 2024 at Extended Studies Center 5701 Hardy Ave San Diego, CA, 5PM onwards. This event will showcase real world examples from practising marketing data scientists and Analyzing the customer journey from end to end using KNIME. This is intended to be a monthly meetup, some in-person and some virtual. meetup.com/san-diego-knime-u… #MachineLearning #DataScience #MarketingAutomation
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I will be presenting this webinar on AI in financial services & fintech. Nearly a full house. But it's not too late, join us! #AI #DigitalTransformation #Compliance @bornonjuly4 @dmgerbino @rwang0 @jenstirrup @data_nerd @predictanalytic @KirkDBorne @deanabb @schmarzo
Join us on October 12 for a complimentary BAI webinar on AI. We will cover many of the key questions financial services organizations have along with what resources are available to help them create AI policies to help safeguard company information. bit.ly/46xNPjN
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Announcing my second book, "The AI Playbook: Mastering the Rare Art of Machine Learning Deployment"! Pre-order with this link by Friday for a @BNBuzz special (25% off for standard rewards members and 10% for premium members). Special thanks to @mitpress. barnesandnoble.com/w/the-ai-…
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Dean Abbott retweeted
Bets on whether Gemini hallucinates?
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Very much enjoyed my conversation with Ryan Atkinson of the TechGuide. While the topic is "starting" a career in data analytics, and data science in particular, there are also several topics discussed that are not necessarily "intro" topics, such as how t…lnkd.in/gqrtNdue
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Is AI hyped? We all know it is. But is there a tangible downside to the hype? @predictanalytic explains what the downside for machine learning as it rides in the wake of AI. #machinelearning #ai #predictiveanalytics lnkd.in/g7gab4Jx
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It's not too late to still participate in the 2023 Rexer Analytics Data Science Survey. From " "Rexer Analytics designed and began this research in 2007. The ten surveys from 2007 through 2023 examine the analytic behaviors, views…lnkd.in/emF6bZrk lnkd.in/gPHjC22
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