#Python #DataCleaning Cookbook — Prepare your data for analysis with PANDAS, NumPy, Matplotlib, scikit-learn, and OpenAI: http://
amzn.to/4c6DAWf [2nd Edition] v/ @PacktPublishing —————
#DataScience #AI #ML #MachineLearning #DataWrangling #CDO #CMO #CTO #DataScientist
MACHINE LEARNING
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Python Data Cleaning Cookbook: Prepare Data with Pandas NumPy
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Open Buildings AI Project Creates Global Dataset Building Footprints
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The Open Buildings project uses #AI to create a global dataset of building footprints, and it's having a real impact on communities by supporting everything from humanitarian response to urban planning. See more →https://t.co/aSKm5BamRD pic.twitter.com/fHm5lsf0Wt
— Google AI (@GoogleAI) 2 décembre 2024The Open Buildings project uses #AI to create a global dataset of building footprints, and it's having a real impact on communities by supporting everything from humanitarian response to urban planning. See more →
https://
goo.gle/3ZdvI0p -
3rd Edition PANDAS Cookbook Released by Packt Publishing
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3rd Edition of "PANDAS Cookbook – Practical recipes for scientific computing, time series and exploratory data analysis using #Python" at http://
amzn.to/3Y0XRY5 v/ @PacktPublishing ———
#DataScience #ComputationalScience #Analytics #MachineLearning #DataScientist
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Anthropic Research Fellowship: AI Safety and Control Projects
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Fellows will collaborate with Anthropic researchers for 6 months on projects in areas such as: – Adversarial robustness & AI control
– Scalable oversight
– Model organisms of misalignment
– Interpretability -
Multi-Hop Reasoning Limitations in Large Language Models
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Evaluating Latent Multi-Hop Reasoning in Large Language Models Investigates whether LLMs can combine factual knowledge across multiple hops without relying on pretraining shortcuts. Problem:
LLMs struggle with latent multi-hop reasoning due to reliance on pretraining -
Make-It-Animatable: Automated 3D Character Rigging Framework
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Make-It-Animatable Efficient framework for converting any 3D humanoid character into animation-ready form in under one second. Problem:
Rigging and skinning 3D characters are labor-intensive and existing methods fail to generalize across diverse shapes and poses. Method: -
Enhancing LLM Reasoning with Separate Critique Model
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Enhancing LLM Reasoning Improving LLM reasoning by using a separate "critique" model to provide feedback during both training and testing. Problem:
LLMs struggle with complex reasoning and self-correction, especially on challenging tasks where performance plateaus. Method: -
Unified Diffusion Model for Image Generation and Understanding
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One Diffusion to Generate Them All A unified diffusion model that can perform both image generation and understanding tasks through a simple sequence-based approach. Problem:
Diffusion models are task-specific, lacking the universality and flexibility seen in large language -
Model Distillation and O1 Replication: Research Ethics Concerns
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O1 replication journey (part 2) A critical examination of how simple model distillation can match O1's mathematical abilities, raising concerns about AI research practices. Problem: Replicating O1 model capabilities has encouraged the use of undisclosed distillation
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ShowUI: Lightweight Vision-Language Model for GUI Automation
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ShowUI A lightweight vision-language model for efficient GUI automation that achieves SOTA performance while using fewer parameters and less training data. Problem:
GUI automation relying on APIs and metadata struggles with real-world visual scenarios requiring efficient,