ICYMI: We went live on LinkedIn last week discussing the building blocks of time-series experimentation and production workflow. Check it out! #aiaccelerators https://
linkedin.com/events/7046903
399572783104/comments/
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MACHINE LEARNING
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Time-Series Experimentation and Production Workflow Fundamentals
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AI Webinar Summary: Key Insights on Current Developments
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Note:
– this is my summary of the webinar and may include word choice errors or oversimplifications
– these are not tweeted in the order they were said
– video can be rewatched on YT if you want to deep dive – I’m not a journalist – this thread does not mean I agree with them -
How Uber Predicts Ride ETA with Deep Learning
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How #Uber predicts rides ETA with #deeplearning V/ @sonu_monika #AI #ArtificialIntelligence #GenerativeAI #ChatGPT
CC @BetaMoroney @MargaretSiegien @Khulood_Almani @naullyn @avrohomg @amalmerzouk @AlbertoEMachado @KanezaDiane @asokan_telecom @anand_narang @mvollmer1 -
How Uber Predicts Rides ETA with Deep Learning
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How #Uber predicts rides ETA with #deeplearning V/ @sonu_monika #AI #ArtificialIntelligence #GenerativeAI #ChatGPT
CC @BetaMoroney @MargaretSiegien @Khulood_Almani @naullyn @avrohomg @amalmerzouk @AlbertoEMachado @KanezaDiane @asokan_telecom @anand_narang @mvollmer1 -
ML Workshop Advances Flood Forecasting with Caravan Data
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Floods are the most common type of natural disaster. Today we discuss our recent #ML Meets Flood Forecasting Workshop and the Caravan project (developed from a previous workshop), which creates an open-source repository for global streamflow data → https://
goo.gle/3UiloRM -
GPT5: The SUPER Artificial Intelligence? Predictions and Analyses
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#GPT5: The SUPER Artificial Intelligence? Predictions and Analyses → https://
youtu.be/7RDzujLMa9k (The world will change)
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#GPT4 #ChatGPT #ArtificialIntelligence #AGI -
Temperature Zero for Deterministic LLM Inference with Argmax Selection
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trivially – just use temperature = 0 at inference, picking argmax token at each step. that they are necessarily stochastic is a common misconception.
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Julia Programming Language Advances Quantitative Biology Analysis
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The Julia programming language could meet growing demands for quantitative methods in biology, says new MIT paper. Its speed, flexibility, thriving package ecosystem, and readability could enable new ways of analyzing biological data & systems: https://
go.nature.com/3zFy7V6 -
Master Pandas: Free Kaggle Tutorial for Data Analysis
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One of the most important skills you should learn: Pandas. One of the best introductions to Pandas you'll ever find is
The Kaggle's Pandas Tutorial. It's FREE and covers everything you need. Here is the link: https://
kaggle.com/learn/pandas -
Making AI and Big Data More Sustainable Solutions
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#AI, #bigdata, and #machinelearning are growing at a phenomenal pace, but these technologies also have an enormous #environmental impact. Find out what can be done to make AI and big data more #sustainable.