Speed and accuracy aren't enemies-they're a design choice. ML Optimization Techniques: Boosting Model Performance is your practical playbook for squeezing more signal from the same data, cutting training time, and shipping models that perform where it counts: in production. Inside, you'll move beyond "try a bigger model" to a systematic approach that stacks small, compounding wins-better data splits, smarter tuning, tighter regularization, faster math, and leaner deployments. You'll learn what to measure, which knobs ...
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Speed and accuracy aren't enemies-they're a design choice. ML Optimization Techniques: Boosting Model Performance is your practical playbook for squeezing more signal from the same data, cutting training time, and shipping models that perform where it counts: in production. Inside, you'll move beyond "try a bigger model" to a systematic approach that stacks small, compounding wins-better data splits, smarter tuning, tighter regularization, faster math, and leaner deployments. You'll learn what to measure, which knobs matter most, and how to make trade-offs you can defend to stakeholders. What you'll be able to do: Choose and tune optimizers (SGD, AdamW, LBFGS) with schedules that actually converge Run Bayesian , random, and evolutionary searches that beat grid search with fewer trials Avoid leakage with robust CV schemes and fail-fast early stopping Boost generalization with regularization, augmentation, and calibrated probability outputs Fix class imbalance (weights, focal loss, stratified sampling) without skewing metrics Stack and blend models the right way (OOF folds, diversity, calibration) Compress models (pruning, quantization, distillation) for edge and low-latency serving Accelerate training with mixed precision, vectorization, caching, and efficient data loaders Profile bottlenecks (CPU/GPU, I/O) and pick wins that matter for wall-clock time Operate with MLOps discipline: champion/challenger, drift monitoring, rollback plans Written for data scientists, ML engineers, and practitioners who care about results, this book favors clarity over hype and repeatable techniques over lucky runs.
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Add this copy of ML Optimization Techniques Boosting Model Performance: to cart. $13.68, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2025 by Independently Published.
