XGBoost for Regression Predictive Modeling and Time Series Analysis. Learn how to build, evaluate, and deploy predictive models with expert guidance

Partha Pritam Deka, Joyce Weiner, Prof. Roberto V. Zicari

XGBoost offers a powerful solution for regression and time series analysis, enabling you to build accurate and efficient predictive models. In this book, the authors draw on their combined experience of 40+ years in the semiconductor industry to help you harness the full potential of XGBoost, from understanding its core concepts to implementing real-world applications.As you progress, you'll get to grips with the XGBoost algorithm, including its mathematical underpinnings and its advantages over other ensemble methods. You'll learn when to choose XGBoost over other predictive modeling techniques, and get hands-on guidance on implementing XGBoost using both the Python API and scikit-learn API. You'll also get to grips with essential techniques for time series data, including feature engineering, handling lag features, encoding techniques, and evaluating model performance. A unique aspect of this book is the chapter on model interpretability, where you'll use tools such as SHAP, LIME, ELI5, and Partial Dependence Plots (PDP) to understand your XGBoost models. Throughout the book, you’ll work through several hands-on exercises and real-world datasets.By the end of this book, you'll not only be building accurate models but will also be able to deploy and maintain them effectively, ensuring your solutions deliver real-world impact.

Mastering PowerShell Scripting. Automate repetitive tasks and simplify complex administrative tasks using PowerShell - Fifth Edition

Chris Dent

Mastering PowerShell Scripting, Fifth Edition, is your comprehensive guide to harnessing PowerShell’s full potential. This edition introduces new chapters on debugging, troubleshooting, and creating GUIs while covering the latest enhancements in PowerShell 7.3, including parameters, objects, and .NET classes.The book takes you from foundational concepts to advanced techniques, covering asynchronous processing, desired state configuration, and managing large datasets. You'll explore PowerShell’s automation features, error-handling strategies, and integration with external services. Additionally, this guide provides practical insights into working with regular expressions, Windows Management Instrumentation, and complex scripting methods.By the end of this book, you’ll have the skills to efficiently automate tasks, troubleshoot scripts, and leverage PowerShell’s advanced capabilities for real-world scenarios.

Transformers for Natural Language Processing and Computer Vision. Explore Generative AI and Large Language Models with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3 - Third Edition

Denis Rothman

Transformers for Natural Language Processing and Computer Vision, Third Edition, explores Large Language Model (LLM) architectures, applications, and various platforms (Hugging Face, OpenAI, and Google Vertex AI) used for Natural Language Processing (NLP) and Computer Vision (CV).The book guides you through different transformer architectures to the latest Foundation Models and Generative AI. You’ll pretrain and fine-tune LLMs and work through different use cases, from summarization to implementing question-answering systems with embedding-based search techniques. You will also learn the risks of LLMs, from hallucinations and memorization to privacy, and how to mitigate such risks using moderation models with rule and knowledge bases. You’ll implement Retrieval Augmented Generation (RAG) with LLMs to improve the accuracy of your models and gain greater control over LLM outputs.Dive into generative vision transformers and multimodal model architectures and build applications, such as image and video-to-text classifiers. Go further by combining different models and platforms and learning about AI agent replication.This book provides you with an understanding of transformer architectures, pretraining, fine-tuning, LLM use cases, and best practices.

OpenCV 3.0 Computer Vision with Java. Create multiplatform computer vision desktop and web applications using the combination of OpenCV and Java

Daniel Lelis Baggio

Microsoft System Center Data Protection Manager 2012 R2 Cookbook. Over 100 recipes to build your own designs exploring the advanced functionality and features of System Center DPM 2012 R2

Robert Hedblom

Modern Time Series Forecasting with Python. Explore industry-ready time series forecasting using modern machine learning and deep learning

Manu Joseph

We live in a serendipitous era where the explosion in the quantum of data collected and a renewed interest in data-driven techniques such as machine learning (ML), has changed the landscape of analytics, and with it, time series forecasting. This book, filled with industry-tested tips and tricks, takes you beyond commonly used classical statistical methods such as ARIMA and introduces to you the latest techniques from the world of ML.This is a comprehensive guide to analyzing, visualizing, and creating state-of-the-art forecasting systems, complete with common topics such as ML and deep learning (DL) as well as rarely touched-upon topics such as global forecasting models, cross-validation strategies, and forecast metrics. You’ll begin by exploring the basics of data handling, data visualization, and classical statistical methods before moving on to ML and DL models for time series forecasting. This book takes you on a hands-on journey in which you’ll develop state-of-the-art ML (linear regression to gradient-boosted trees) and DL (feed-forward neural networks, LSTMs, and transformers) models on a real-world dataset along with exploring practical topics such as interpretability.By the end of this book, you’ll be able to build world-class time series forecasting systems and tackle problems in the real world.

Developing IoT Projects with ESP32. Automate your home or business with inexpensive Wi-Fi devices

Vedat Ozan Oner

Developing IoT Projects with ESP32 provides end-to-end coverage of secure data communication techniques from sensors to cloud platforms that will help you to develop production-grade IoT solutions by using the ESP32 SoC. You'll learn how to employ ESP32 in your IoT projects by interfacing with different sensors and actuators using different types of serial protocols.This book will show you how some projects require immediate output for end-users, and cover different display technologies as well as examples of driving different types of displays. The book features a dedicated chapter on cybersecurity packed with hands-on examples. As you progress, you'll get to grips with BLE technologies and BLE mesh networking and work on a complete smart home project where all nodes communicate over a BLE mesh. Later chapters will show you how IoT requires cloud connectivity most of the time and remote access to smart devices. You'll also see how cloud platforms and third-party integrations enable endless possibilities for your end-users, such as insights with big data analytics and predictive maintenance to minimize costs.By the end of this book, you'll have developed the skills you need to start using ESP32 in your next wireless IoT project and meet the project's requirements by building effective, efficient, and secure solutions.

LMMS: A Complete Guide to Dance Music Production

David Earl

You've scoured the forums, watched the tutorial videos, and done everything you can to learn the secrets of the art of making dance music. Everyone is saying something different about how to get into producing your own projects. This book will help connect the dots and lay a solid foundation of knowledge so you can get beats banging out of LMMS.This book will show you the ins and outs of making Dance music with LMMS. Do you make house, trance, techno or down-tempo? After this book you'll be able to make a song that stands out from the masses, using time honoured tricks of the trade. From inception to conception, this book will help give you a workflow to channel your muse using LMMS.Readers will be given a brief lesson on the best of dance music history, then learn how to recreate it using the Open Source digital workstation - LMMS. The reader will be guided through creating a project from start to finish. By the end of this book, the reader will know how to create a full dance track in LMMS and make it ready for distribution.Along the way, readers will take short stops into music theory, song arranging, recording, and other related information to give them a good foundation for making dance music with depth as well as power. Reading LMMS: A Complete Guide to Dance Music Production will not just teach the reader how to use LMMS, but also how good dance music is crafted. The reader will not just be taught how to make decisions in LMMS, but when and why. After devouring this book, the reader should be able to focus on his or her creativity, with LMMS as a co-conspirator in the process of making great dance music.