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Boost Machine Learning Model Creation 100x Faster with NVIDIA cuML! скачать в хорошем качестве

Boost Machine Learning Model Creation 100x Faster with NVIDIA cuML! 6 месяцев назад

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Boost Machine Learning Model Creation 100x Faster with NVIDIA cuML!
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Boost Machine Learning Model Creation 100x Faster with NVIDIA cuML!

NVIDIA Just KILLED Slow ML Training! Zero-Code GPU Boost for Scikit-Learn (cuml.accel). Tired of waiting HOURS for your scikit-learn models to train? NVIDIA’s cuML just changed the game with ZERO-CODE GPU acceleration and I’m showing you EXACTLY how it works! 🚀 The most recent update to cuML sets a new benchmark for performance in machine learning workflows utilizing scikit-learn, UMAP, or HDBSCAN, particularly for large-scale datasets with over 1 million rows and more than 100 dimensions. By drastically cutting down on time and costs associated with research and development, cuML achieves extraordinary speed improvements: up to 50 times faster than scikit-learn on CPUs, up to 60 times faster than UMAP on CPUs, and an astonishing 175 times faster than HDBSCAN on CPUs. This leap in efficiency enables users to tackle complex, high-dimensional data challenges with unprecedented ease and scalability. In this video, you will learn: ✅ How to speed up scikit-learn by 10X-100X with NO CODE CHANGES ✅ The secret behind NVIDIA cuML’s GPU magic (spoiler: it's not just for deep learning!) ✅ Real-world benchmarks comparing CPU vs. GPU training (prepare to be shocked!) ✅ Step-by-step tutorial to install cuML and supercharge your workflow in minutes ▶ Sponsor me on GitHub : https://github.com/sponsors/bhattbhav... ▶ Join this channel to get access to perks: https://bit.ly/BhaveshBhattJoin ▶ Join the Telegram channel for regular updates: https://t.me/bhattbhavesh91 ▶ If you like my work, you can buy me a coffee : https://bit.ly/BuyBhaveshCoffee *I use affiliate links on the products that I recommend. These give me a small portion of the sales price at no cost to you. I appreciate the proceeds and they help me to improve my channel! ▶ Best Book for Python : https://amzn.to/3qYThqu ▶ Best Book for PyTorch & Machine Learning : https://amzn.to/3PyUkdy ▶ Best Book for Statistics : https://amzn.to/3vzvHEn ▶ Best Book for BERT: https://amzn.to/3lpX0fz ▶ Best Book for Machine Learning : https://amzn.to/2P6aZuT ▶ Best Book for Deep Learning : https://amzn.to/30UMTGl ▶ Best Intro Book for MLOps : https://amzn.to/3AoPZmM Equipments I use for recording the videos: ▶ 1st Laptop I use : https://amzn.to/3AqI8Fp ▶ 2nd Laptop I use : https://amzn.to/3KAiYsB ▶ Microphone : https://amzn.to/3qUPxtz ▶ Camera : https://amzn.to/3rKQsM2 ▶ Mobile Phone : https://amzn.to/3nRHP1f ▶ Ring Light : https://amzn.to/33LedM5 ▶ RGB Light : https://amzn.to/3KzLgmS ▶ Bag I use : https://amzn.to/3AsM3RZ If you do have any questions with what we covered in this video then feel free to ask in the comment section below & I'll do my best to answer those. If you enjoy these tutorials & would like to support them then the easiest way is to simply like the video & give it a thumbs up & also it's a huge help to share these videos with anyone who you think would find them useful. Please consider clicking the SUBSCRIBE button to be notified for future videos & thank you all for watching. You can find me on: ▶ Blog - https://bhattbhavesh91.github.io ▶ Twitter -   / _bhaveshbhatt   ▶ GitHub - https://github.com/bhattbhavesh91 ▶ Medium -   / bhattbhavesh91   ▶ About.me - https://about.me/bhattbhavesh91 ▶ Linktree - https://linktr.ee/bhattbhavesh91 ▶ DEV Community - https://dev.to/bhattbhavesh91 ▶ Telegram - https://t.me/bhattbhavesh91 #nvidia #gtc2025

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