Machine learning with LightGBM and Python a practitioner's guide to developing production-ready machine learning systems /

Take your software to the next level and solve real-world data science problems by building production-ready machine learning solutions using LightGBM and Python Key Features Get started with LightGBM, a powerful gradient-boosting library for building ML solutions Apply data science processes to rea...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Van Wyk, Andrich (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham, UK : Packt Publishing Ltd., 2023.
Edición:1st edition.
Temas:
Machine learning.
Python (Computer program language)
Data mining.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

LEADER 00000cam a22000007a 4500
001 OR_on1401961076
003 OCoLC
005 20231017213018.0
006 m o d
007 cr |n|||||||||
008 231007s2023 enk o 001 0 eng d
040 |a YDX  |b eng  |c YDX  |d ORMDA 
020 |a 9781800563056  |q (electronic bk.) 
020 |a 1800563051  |q (electronic bk.) 
020 |z 1800564740 
020 |z 9781800564749 
035 |a (OCoLC)1401961076 
037 |a 9781800564749  |b O'Reilly Media 
050 4 |a QA76.73.P98 
082 0 4 |a 005.13/3  |2 23/eng/20231010 
049 |a UAMI 
100 1 |a Van Wyk, Andrich,  |e author. 
245 1 0 |a Machine learning with LightGBM and Python  |h [electronic resource] :  |b a practitioner's guide to developing production-ready machine learning systems /  |c Andrich Van Wyk. 
250 |a 1st edition. 
260 |a Birmingham, UK :  |b Packt Publishing Ltd.,  |c 2023. 
300 |a 1 online resource 
500 |a Includes index. 
520 |a Take your software to the next level and solve real-world data science problems by building production-ready machine learning solutions using LightGBM and Python Key Features Get started with LightGBM, a powerful gradient-boosting library for building ML solutions Apply data science processes to real-world problems through case studies Elevate your software by building machine learning solutions on scalable platforms Purchase of the print or Kindle book includes a free PDF eBook Book Description Machine 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. This 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. Starting 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. As 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. By the end of this book, you'll be well equipped to use various -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. What you will learn Get an overview of ML and working with data and models in Python using scikit-learn Explore decision trees, ensemble learning, gradient boosting, DART, and GOSS Master LightGBM and apply it to classification and regression problems Tune and train your models using AutoML with FLAML and Optuna Build ML pipelines in Python to train and deploy models with secure and performant APIs Scale your solutions to production readiness with AWS Sagemaker, PostgresML, and Dask Who this book is for This 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. The 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. 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
650 0 |a Machine learning. 
650 0 |a Python (Computer program language) 
650 0 |a Data mining. 
776 0 8 |i Print version:  |z 9781800563056 
776 0 8 |i Print version:  |z 1800564740  |z 9781800564749  |w (OCoLC)1258654426 
856 4 0 |u https://learning.oreilly.com/library/view/~/9781800564749/?ar  |z Texto completo (Requiere registro previo con correo institucional) 
938 |a YBP Library Services  |b YANK  |n 305746843 
938 |a YBP Library Services  |b YANK  |n 305746843 
994 |a 92  |b IZTAP 

Ejemplares similares