Machine Learning and Quant Expert Lecturer in Quant Finance and ML #MachineLearning #DeepLearning #systematic #Quant #Ai #GraphKnowledge #GeneticAlgo #KNOWLEDGE

London, England
Joined December 2018
If you are interested in Alternative Data, join @YewnoFinance for a free webinar with @TonyGUIDA_Quant to explore how Knowledge Graphs can help harness Patent Data and the challenges it presents. Tuesday, March 30th, 10:30am EST. Click here to register: lnkd.in/eJUZbZ9
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We're so excited about #rstudioglobal today we're giving you another chance to win a book of your choice! Simply retweet this post and follow @CRC_MathStats to be in with a chance of winning #rstats #datascience #rmarkdown
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#AI creates $10-15 trillion/year value add across industries. Nicolaus Henke, McKinsey & Co; Jane Buchan, Martlet Asset Management; Bill Kelly, CEO of CAIA & Dr. Mehrzad Mahdavi discuss scaling AI and machine learning into your organization. bit.ly/2EHud5h
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Book I co-wrote with @g_coqueret , "Machine Learning for Factor Investing" in the Hot new release in #Amazon! #R version has been released yesterday, #Python version will soon follow! #MachineLearning #investing #equity #factorinvesting #quantitative
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Data Science and Machine-Learning Platforms Market – Global Advancements, Business Models, Technology Roadmap, Globalwide Market Forecasts and Analysis (2020 – 2026) knjmarketresearchcom.wordpre…
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Replying to @OscarBaruffa
Great idea. I started my own list some time ago: github.com/shokru/rstats/blo… If I have time, I'll add our book with @TonyGUIDA_Quant mlfactor.com
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Growing engagement for four fake local news sites - new from @NewsGuardRating mailchi.mp/9f3ea3d744d4/stun… My @UpshotNYT warning about this trend nytimes.com/2019/10/31/upsho…
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Paper on fake reviews on Amazon
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Tony GUIDA retweeted
Metaflow for R was just open-sourced at #useR2020! We are super excited to bring together the best parts of the amazing #rstats ecosystem and modern cloud-based scalability and model operations. Learn more at docs.metaflow.org/v/r/ #metaflow #datascience
Deep Learning's Most Important Ideas - A Brief Historical Review bit.ly/2Xuwh6K #DeepLearning #MachineLearning #DataScience
Replying to @essecalumni @essec
Impresionné par l’efficacité de votre veille, @essecalumni! Merci!
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Last week I raised concerns about using #gpt3 in production because it can easily output toxic language that propagates harmful biases. I thought it was a pretty uncontroversial stance but the responses ranged from complete misunderstanding of AI to total irresponsibility. 1/13
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Want a gentle intro to #DataScience with R, #RStudio, and the #tidyverse with REAL clinical data? Registration for #rmed2020 includes Intro to R for Clinicians / Healthcare Professionals / Healthcare Analysts! Register here → bit.ly/r-med2020 #rmedicine #rstats #r4ds
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This is mind blowing. With GPT-3, I built a layout generator where you just describe any layout you want, and it generates the JSX code for you. W H A T
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Thank you for these kind words! 🙏🏻For those interested, the book is available online at mlfactor.com
I have recently read a nice book titled 'Machine Learning for Factor Investing'. It contains up-to-date references, and, surprisingly, elegant coding in R. A really cool work! Many thanks to the authors! @g_coqueret @TonyGUIDA_Quant #RStats #MachineLearning
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Very interesting paper on Persistence in Factor-Based Supervised Learning Models from my friend and research colleague @g_coqueret . #MachineLearning #research #KNOWLEDGE #FactorInvesting papers.ssrn.com/sol3/papers.…
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