"Data Literacy in Practice" at: http://
amzn.to/3W4tDli v/ @PacktDataML —————
#Analytics #DataScience #ML #MachineLearning #DataStorytelling #BI #DataScientist
MACHINE LEARNING
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Data Literacy in Practice: Essential Guide for Analytics Professionals
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Data Storytelling Mastery for Effective Data Management
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Telling Your Data Story — Data Storytelling for Data Management: http://
amzn.to/3qzXqm2 by @stdatawhisperer ————
#Analytics #DataScience #MachineLearning #ML #DataLiteracy #DataScientist #CDO #CMO -
Data Science Mindset Methodologies and Misconceptions Guide
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Data Science — Mindset, Methodologies, and Misconceptions: http://
amzn.to/2LRA9b3
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#Analytics #MachineLearning #ML #DataScientist #DataLiteracy #DataStorytelling -
The Data Science Design Manual: Essential Guide for Practitioners
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The Data Science Design Manual: http://
amzn.to/45lXMTn
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#DataScience #DataScientist #Analytics #ML #MachineLearning #DataViz #DataStorytelling #DataLiteracy -
Teaching AI Systems to Master Complex Tasks Simply
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Hey Grok: Can you explain why this is important, but in language a nine year old can understand? It answers: +++ Imagine you're trying to teach a robot how to be really good at a super tricky game: building the best "smart machine" (like a tiny brain that guesses things from
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Optimizing CLIP for Medical Image-Text Alignment Tasks
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CLIP is a game-changer for medical AI, but it isn’t a "plug-and-play" solution. At the University of Arizona, I’ve been working on optimising the CLIP multi-modal model to align medical image-text pairs for classification and report generation. The challenge? Standard CLIP is
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AI Debt: The Hidden Cost of Unchecked AI Acceleration
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#AI Debt: The Hidden Cost Of Unchecked AI Acceleration by Amy Gu @Forbes Learn more: bit.ly/4sgieNH #MachineLearning #ArtificialIntelligence #ML #MI
→ View original post on X — @ronald_vanloon, 2026-04-07 01:58 UTC
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10 Most Popular Machine Learning Models Overview
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10 Most Popular #MachineLearning Models by @goyalshaliniuk #ArtificialIntelligence #AI #ML #MI
→ View original post on X — @ronald_vanloon, 2026-04-07 01:37 UTC
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ByteDance Seed Achieves Zero-Shot Sim-to-Real Dexterous Hand Manipulation
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What if robotic hands could learn complex maneuvers purely in simulation and work perfectly in reality? ByteDance Seed just unveiled a breakthrough. Their new RL framework bridges the sim-to-real gap for dexterous hands with a fast virtual tactile simulation, current-to-torque calibration (no extra sensors!), and actuator dynamics modeling with randomization to cover real-world quirks. Result? Policies trained 100% in simulation directly enable a five-finger hand to perform precise, controllable grasp force tracking and object reorientation – a first for zero-shot sim-to-real multi-finger manipulation! Closing the Reality Gap: Zero-Shot Sim-to-Real Deployment for Dexterous Force-Based Grasping and Manipulation Paper: arxiv.org/abs/2601.02778 Project: dexmanip-seed.github.io/dexm… Our report: mp.weixin.qq.com/s/7TQC0sJfw… 📬 #PapersAccepted by Jiqizhixin
→ View original post on X — @jiqizhixin, 2026-04-07 01:35 UTC
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Deep Learning Researchers’ Limited Exposure to Alternative Learning Methods
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One thing about DL researchers that has always been surprising to me, is that a lot of them have never been exposed to forms of learning other than fitting the parameters of a curve via gradient descent, and are even unable to conceive that there might exist other options