{"product_id":"machine-learning-with-lightgbm-and-python-a-practitioners-guide-to-developing-production-ready-machine-learning-systems-9781800564749","title":"Machine Learning with LightGBM and Python: A practitioner's guide to developing production-ready machine learning systems","description":"\u003cp\u003e\u003cstrong\u003eTake your software to the next level and solve real-world data science problems by building production-ready machine learning solutions using LightGBM and Python\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eGet started with LightGBM, a powerful gradient-boosting library for building ML solutions\u003c\/li\u003e\n\u003cli\u003eApply data science processes to real-world problems through case studies\u003c\/li\u003e\n\u003cli\u003eElevate your software by building machine learning solutions on scalable platforms\u003c\/li\u003e\n\u003cli\u003ePurchase of the print or Kindle book includes a free PDF eBook\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eMachine Learning with LightGBM and Python is a comprehensive guide to learning the basics of machine learning and progressing to building scalable machine learning systems that are ready for release.\u003c\/p\u003e\u003cp\u003eThis book will get you acquainted with the high-performance gradient-boosting LightGBM framework and show you how it can be used to solve various machine-learning problems to produce highly accurate, robust, and predictive solutions.\u003c\/p\u003e\u003cp\u003eStarting with simple machine learning models in scikit-learn, you'll explore the intricacies of gradient boosting machines and LightGBM. You'll be guided through various case studies to better understand the data science processes and learn how to practically apply your skills to real-world problems.\u003c\/p\u003e\u003cp\u003eAs you progress, you'll elevate your software engineering skills by learning how to build and integrate scalable machine-learning pipelines to process data, train models, and deploy them to serve secure APIs using Python tools such as FastAPI.\u003c\/p\u003e\u003cp\u003eBy the end of this book, you'll be well equipped to use various state-of-the-art tools that will help you build production-ready systems, including FLAML for AutoML, PostgresML for operating ML pipelines using Postgres, high-performance distributed training and serving via Dask, and creating and running models in the Cloud with AWS Sagemaker.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eGet an overview of ML and working with data and models in Python using scikit-learn\u003c\/li\u003e\n\u003cli\u003eExplore decision trees, ensemble learning, gradient boosting, DART, and GOSS\u003c\/li\u003e\n\u003cli\u003eMaster LightGBM and apply it to classification and regression problems\u003c\/li\u003e\n\u003cli\u003eTune and train your models using AutoML with FLAML and Optuna\u003c\/li\u003e\n\u003cli\u003eBuild ML pipelines in Python to train and deploy models with secure and performant APIs\u003c\/li\u003e\n\u003cli\u003eScale your solutions to production readiness with AWS Sagemaker, PostgresML, and Dask\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThis book is for software engineers aspiring to be better machine learning engineers and data scientists unfamiliar with LightGBM, looking to gain in-depth knowledge of its libraries. Basic to intermediate Python programming knowledge is required to get started with the book.\u003c\/p\u003e\u003cp\u003eThe book is also an excellent source for ML veterans, with a strong focus on ML engineering with up-to-date and thorough coverage of platforms such as AWS Sagemaker, PostgresML, and Dask.\u003cbr\u003e\u003c\/p\u003e","brand":"Packt Publishing","offers":[{"title":"Default Title","offer_id":50402370814226,"sku":"9781800564749","price":45.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_0714e537-31de-4b72-91e0-4d6215916121.jpg?v=1729153905","url":"https:\/\/surprise-castle.myshopify.com\/products\/machine-learning-with-lightgbm-and-python-a-practitioners-guide-to-developing-production-ready-machine-learning-systems-9781800564749","provider":"Surprise Castle","version":"1.0","type":"link"}