800 pages. 11 chapters. The full forecasting stack in Python — from ARIMA to foundation models — with production-grade code and proper evaluation. No hype.
Unlock the full potential of CatBoost — a powerful gradient boosting library built for structured/tabular data and still underused in practice.In Mastering CatBoost: The Hidden Gem of Tabular AI, you’ll learn how to take advantage of CatBoost’s key strengths: native categorical feature handling, strong accuracy, and fast inference — without brittle preprocessing pipelines.Written for data scientists, ML engineers, and applied researchers, the book covers:Real-world use cases and end-to-end workflowsPractical tuning strategies and diagnosticsInterpretability with SHAP, feature importance, and constraintsDeployment-minded best practices and common failure modesWhether you’re new to CatBoost or ready to go deeper, this is a clear, practical guide to building high-performance tabular models.Early Access is available now, with ongoing updates leading to the full release in 2026.
A model that wins on MAPE can lose money on the shelf. A 15% accuracy gain can hide a 12% bias. An interval that looks tight can be wrong a third of the time.Forecast metrics are decision instruments, not neutral truth detectors — and most teams are still choosing them by habit. This book shows where MAE, MAPE, sMAPE, WAPE, MASE, RMSSE, CRPS, pinball loss, energy scores, bias measures and cost-based metrics help, and where they quietly mislead.Twelve chapters take you from elicitation and baselines through intermittent demand, probabilistic and hierarchical scoring, and the accuracy–utility gap, to a production evaluation system with monitoring, drift detection, alerting and governance. Every metric arrives with its assumptions, every criticism carries a remedy, and a retrospective Walmart M5 case study runs throughout, with Python listings and reproducibility checks.For demand planners, forecasting data scientists, ML engineers and analytics leads who need evaluation choices they can defend. Measure what matters.
This practical handbook provides a step-by-step guide for you to get the best continuous delivery pipeline for your software.
"Wired Protocols in Embedded Systems" is your essential guide to understanding how wired communication works in embedded systems. From UART and SPI to I²C and CAN, this book explains the core principles, advantages, and limitations of each protocol. Whether you're an embedded engineer, firmware developer, or Arduino enthusiast, you'll gain the knowledge needed to choose and implement the right protocol for your project. After all, even in the age of AI, it is still important to improve your own intelligence.
A practical handbook packed with real-world advice to help you write better code, adopt effective developer habits, and build great software.
Bir sonraki Android iş görüşmenizde başarılı olmak için yalnızca cevapları ezberlemekle kalmayın, kavramları derinlemesine anlayın ve onları uygulamada kullanmayı öğrenin. Bu kitapta yer alan 108 mülakat sorusu, 162 ek pratik soru ve 50'den fazla ileri seviye not ile becerilerinizi geliştirebilir, kullanilan. teknolojilerin arka planını kavrayabilir ve gerçek dünya teknik zorluklarına hazırlanabilirsiniz. Hardcover edition | Paperback edition
The Most Comprehensive Chemical Engineering Practice Dictionary
The information contained in this book is usually provided on the job by mentors so it will remain a vital resource throughout your career.
A pattern language for event sourced applications and reliable distributed systems. Examples are written in the Python programming language. Now includes event-oriented introductions to the pattern language scheme of Christopher Alexander, the process philosophy of Alfred North Whitehead, and the person-centred psychology of Rogers and Rosenberg.
Effective Kotlin summarizes the best practices and experiences of the Kotlin community, together with a deep explanation of some lesser-known Kotlin functionalities. All of the best practices are presented as simple rules with detailed explanations.
Need to collect terabytes of data across all aspects of your operations? Need to transform complex scientific datasets into innovative software that is deployed across the pipeline, accelerating the pace and quality of all business decisions to unbelievable levels? Having problems with performance or maintenance? If so, this book is for you!
Delve into the great ecosystem of CUDA frameworks and libraries through independent projects.Solve modern, real-world technical applications using CUDA.Interesting projects that will help you build High-Performance applications with CUDA.
Discover how Java developers can contribute to a sustainable future. Written by Java Champions and community experts, this collaborative guide explores practical approaches to sustainable software engineering, from resource-efficient design to mindful architecture, empowering you to reduce your environmental impact while building better systems.
Go from your first MATLAB script to professional engineering projects. Master programming, data analysis, visualization, numerical computing, and AI-assisted workflows through practical, project-based learning.