Batch Normalization and Dropout: A Combined Regularization Approach BatchNorm vs Dropout, two regularization giants in deep learning. While BatchNorm stabilizes and accelerates training, Dropout guards against overfitting by randomly deactivating neurons. Together? It’s a
CODE
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Grok AI Assistant Fails Task Requires Custom Solution
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PS: creating this really is something Grok should be able to do, but it did an absolutely terrible job and I had to go write something myself to do it. Grrrr… 🙁
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Live demos: Codex apps, voice-controlled drone, multimodal AI
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As always, I showed live demos! Building apps with Codex, then showcasing multimodality by controlling a mini drone with my voice via speech-to-speech, and leveraging its camera for vision analysis and image generation! Missed it? Catch the replay here:
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Paris Tech Community and AI Agents as 2025’s Game Changer
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Always great to be back in Paris and experience the enthusiasm and creativity of the European tech community! At @VivaTech
, I highlighted why 2025 truly is the year of AI agents. From the @OpenAI tools to create your agents, to using Codex to reshape the way we build software. -
Claude 4 Upgrade: Cline Team Delivers Major Improvements
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Switch to Claude 4! From what I understand, the Cline team has made some big improvements and now it works better than 3.7.
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Master Python Fundamentals: Ultimate Guide for Beginners Book
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"Master #Python Fundamentals: Ultimate Guide for Beginners" — The Number #1 Python Book For Beginners with 300+ Hands-on Practice Questions Brilliant book at http://
amzn.to/3QCQCDn by @RealBenjizo ————
#DataScience #DataScientist #MachineLearning #ComputationalScience #Coding -
New Python Data Analysis Book with Hands-on Challenges for Beginners
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Check out this great new book >> 50 Days of Data Analysis with #Python — The Ultimate Challenges Book for Beginners, with Hands-on Challenges using Pandas, NumPy, Matplotlib, Sklearn and Seaborn: https://
amzn.to/3uQfgrR by @RealBenjizo —————
#DataScience #DataScientists #Coding -
Machine Learning for Tabular Data: XGBoost, Deep Learning and AI
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Give Tabular Data some luv! Book — #MachineLearning for Tabular Data: XGBoost, #DeepLearning, and #AI — at http://
amzn.to/41J8WA6 from @PacktDataML Neural Networks for Tabular Data: https://
nature.com/articles/s4158
6-024-08328-6
… GitHub Code: https://
github.com/PriorLabs/TabP
FN
… #DataScience #DataScientist -
New Hands-On AI for IoT Second Edition Release
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New #AIoT release from @PacktDataML >> Hands-On #AI for #IoT : Expert #MachineLearning and #DeepLearning techniques for developing smarter IoT systems [2nd Edition] See it at http://
amzn.to/3YAu6hS 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: Leverage the power of Python libraries such as -
FastHTML: The Web Development Super-Power Framework
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FastHTML is a super-power. If you're not using it, you are seriously missing out. Thank you @adityakabra for sharing your story! 😀 https://
himalayanhacker.substack.com/p/from-giving-
up-on-coding-to-shipping
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