Approaching Almost Any #MachineLearning Problem. #BigData #Analytics #DataScience #AI #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
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Approaching Any Machine Learning Problem Comprehensive Guide
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Scaling Law of P-Hacking: AI Enables Absurd Proof Generation
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Scaling law of p-hacking: the more AI you use, the more absurd things you can prove.
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Domino VS Code Extension for Data Scientists and Enterprise Compute
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Most data scientists live in their editor but manage jobs and workspaces in a browser. The Domino VS Code Extension closes that gap: run jobs, monitor status, and connect directly to enterprise compute without leaving VS Code. Read the Blueprint: https://
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Integrating Modern Data Platforms Into Electronic Health Records
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The Benefits of Integrating a Modern Data Platform Into the EHR
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @lexfridman @sama @kaifulee @ID_AA_Carmack @karpathy @2morrowknight @ylecun -
Using Twitter Lists to Access High-Value AI Content Efficiently
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Actually, unless you are Elon Musk you can't read all of X. But if you use the right lists you can get the high value stuff without spending a ton on X API. The secret is lists.
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Genomic Data and AI Advancing Health Risk Assessment
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Our use of genomic data is woefully minimal for establishing health risks but the low cost of sequencing along with improved AI analytics can get this moving forward. Nice example here
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AI-Powered Resilience Operations: Unified ResOps Solution
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Learn about the power of AI-powered #ResOps (Unified Resilience Operations) from @Commvault … https://t.co/9XoxNprCYL
— Kirk Borne (@KirkDBorne) 17 avril 2026Learn about the power of AI-powered #ResOps (Unified Resilience Operations) from @Commvault …
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Google’s Reasoning-Driven Synthetic Data Generation Approach
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“Reasoning-Driven Synthetic Data Generation and Evaluation” This paper from Google gave us some insights on how frontier labs currently generate synthetic data. The key is that they treat synthetic data generation as distribution design rather than prompt design, as this builds
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Track Project Decisions and Requirements Across Weeks
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6/ Keep Track Across Weeks "This project runs for a month: [describe it]. Keep track of every decision made, how requirements have shifted, and what we have already tried. Use context compaction so nothing important gets lost as we keep going."
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Think Before You Answer: Complex Problem-Solving Framework
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4/ Think Before You Answer "Here is a complex problem: [describe it]. Do not respond yet. First tell me how deep this actually needs to go, what information is still missing, and which assumptions should be questioned. Then solve it at the right level."