{"product_id":"pytorch-for-deep-learning-building-and-training-neural-networks-for-predictive-analytics-9798248257102","title":"PyTorch for Deep Learning: Building and training neural networks for predictive analytics","description":"\u003cp\u003e • Author(s): Nathan Westwood\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Programming Languages - Python\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDeep Learning Isn't Just for Images. It's for Your Data.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eYou've mastered Scikit-Learn. You've run your regressions. But your model's accuracy has plateaued.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003ePyTorch for Deep Learning\u003c\/i\u003e is the key to breaking through that ceiling. While other frameworks hide the complexity behind rigid APIs, PyTorch puts the power of the \"Dynamic Computation Graph\" in your hands. It allows you to build, debug, and iterate on neural networks with the same flexibility and ease as writing standard Python code.\u003c\/p\u003e\u003cp\u003eThis book is tailored for the Data Scientist who wants to apply Deep Learning to \u003cb\u003ePredictive Analytics\u003c\/b\u003e. We move beyond the standard \"cats vs. dogs\" tutorials to focus on what matters to you: forecasting sales, predicting customer churn, and analyzing complex tabular data.\u003c\/p\u003e\u003cb\u003eThe Pythonic Way to Build Intelligence\u003c\/b\u003e\u003cp\u003eThis is a code-first guide. You will learn to construct neural networks from the ground up, understanding every layer, every neuron, and every tensor operation.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eTensors \u0026amp; Autograd: \u003c\/b\u003e Master the building blocks of PyTorch. Learn how to manipulate data on the GPU and how automatic differentiation makes training massive models possible.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eThe Training Loop: \u003c\/b\u003e Stop calling .fit(). Learn to write your own training loops to have complete control over optimization, learning rates, and gradient descent.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eTabular Deep Learning: \u003c\/b\u003e Discover architectures specifically designed for structured business data (Excel\/SQL outputs) that outperform gradient boosting methods.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eTime Series Forecasting: \u003c\/b\u003e Build Recurrent Neural Networks (RNNs) and LSTMs to predict future trends based on historical sequences.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eModel Deployment: \u003c\/b\u003e Learn to export your PyTorch models to ONNX or serve them via a REST API, bridging the gap between research and production.\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eWhether you are a researcher needing flexibility or an engineer building a recommendation engine, this book gives you the tools to solve your hardest problems.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDon't just use a library. Master the framework. Scroll up and grab your copy to start building the future of analytics.\u003c\/b\u003e\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47569761337495,"sku":"9798248257102","price":1425.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798248257102.webp?v=1774879057","url":"https:\/\/atlanticbooks.com\/products\/pytorch-for-deep-learning-building-and-training-neural-networks-for-predictive-analytics-9798248257102","provider":"Atlantic Books","version":"1.0","type":"link"}