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The secrets behind machine learning , Pytorch
8:22
YouTubeDigital Shadow
The secrets behind machine learning , Pytorch
Get a quick overview of how PyTorch works and its powerful impacts on deep learning and machine learning! Ideal for Python users exploring DL/ML, this video breaks down core mechanics like tensors, matrix multiplication, and randomness, showing how they drive efficient model building and training. See hands-on effects on regression and ...
1 views1 day ago
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Replying to @MohAy Why is Python slower than compiled languages like C and Rust, and why do hyperscalers like Google and Meta avoid it for large-scale data workloads? Python has performance limits like interpreter execution, bytecode overhead, dynamic typing, heavy object allocation, and the Global Interpreter Lock (GIL), which prevent parallel CPU execution and make Python unsuitable for CPU-bound, latency-sensitive, and high-throughput systems. C and Rust on the other hand compile to nativ
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