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Learning and Inference in Computational Systems Biology - Computational Molecular Biology [Neil D. Lawrence]
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C++ Machine Learning: Turbocharge AI Workflows with High-Performance Training, On-Device Inference & Low-Level Tuning
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Ai Development Board - Neural Network Accelerator Module | Machine Learning Inference, Edge Computing Device, Deep Learning Model Deployment Board, Tensor Lite Compatible
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Modern Machine Learning Techniques: LLMs, MLOps & Edge Inference
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[Information Theory, Inference and Learning Algorithms] [By: MacKay, David J. C.] [September, 2003]
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Machine Learning for Structural Econometrics With Python: A Hands-On Guide to Lasso, Boosting, and Deep IV for Credible Structural Inference (Richman Computational Economics)
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MLIR FOR MACHINE LEARNING COMPILERS: TENSORFLOW, PYTORCH, AND HARDWARE ACCELERATION: Optimize inference and training with dialect design, graph transformations, and custom accelerator code generation
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Learning and Inference in Computational Systems Biology - Computational Molecular Biology [Neil D. Lawrence]
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Causal Inference Comes to Machine Learning
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Learning and Inference in Computational Systems Biology - Computational Molecular Biology [Neil D. Lawrence]
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Building Machine Learning APIs: From PyTorch Training to High-Performance Inference with ONNX and FastAPI
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DEEP LEARNING WITH CUDA: GPU-ACCELERATED AI TRAINING AND INFERENCE: Build, Optimize, and Deploy Neural Networks with PyTorch, TensorFlow, cuDNN, and TensorRT for Production AI
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[Information Theory, Inference and Learning Algorithms] [By: MacKay, David J. C.] [September, 2003]
£127.30
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C++ Machine Learning: Turbocharge AI Workflows with High-Performance Training, On-Device Inference & Low-Level Tuning
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[Information Theory, Inference and Learning Algorithms] [By: MacKay, David J. C.] [September, 2003]
£127.30
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[Information Theory, Inference and Learning Algorithms] [By: MacKay, David J. C.] [September, 2003]
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