Interpretable Machine Learning with Python. Learn to build interpretable high-performance models with hands-on real-world examples

Serg Masís

Do you want to gain a deeper understanding of your models and better mitigate poor prediction risks associated with machine learning interpretation? If so, then Interpretable Machine Learning with Python deserves a place on your bookshelf.We’ll be starting off with the fundamentals of interpretability, its relevance in business, and exploring its key aspects and challenges. As you progress through the chapters, you'll then focus on how white-box models work, compare them to black-box and glass-box models, and examine their trade-off. You’ll also get you up to speed with a vast array of interpretation methods, also known as Explainable AI (XAI) methods, and how to apply them to different use cases, be it for classification or regression, for tabular, time-series, image or text. In addition to the step-by-step code, this book will also help you interpret model outcomes using examples. You’ll get hands-on with tuning models and training data for interpretability by reducing complexity, mitigating bias, placing guardrails, and enhancing reliability. The methods you’ll explore here range from state-of-the-art feature selection and dataset debiasing methods to monotonic constraints and adversarial retraining.By the end of this book, you'll be able to understand ML models better and enhance them through interpretability tuning.

Mastering Chef. Build, deploy, and manage your IT infrastructure to deliver a successful automated system with Chef in any environment

Mayank Joshi

Elgg 1.8 Social Networking. Create, customize, and deploy your very own social networking site with Elgg with this book and

Cash Costello

As an updated version of the first ever Elgg book, this is an excellent resource for those interested in Elgg development due to its attention to detail, clearly written style and knowledgeable author. - Dave Tosh, Elgg co-founder.In his book, Cash Costello makes full use of his skills in development and communication to tackle the complex subject of Elgg social networking. This easy-to-read guide gives end users, new developers, and old pros alike a solid base to start their venture into social media with Elgg. I highly recommend it as a useful and enjoyable read.- Brett Profitt, Elgg Lead DeveloperThe web is becoming increasingly social as millions of people use it to blog, share, post, 'friend', 'unfriend' (which was made the Oxford word of the year in 2009), comment, and chat. Elgg ñ your award-winning open source social networking engine ñ is tailor-made to create any social networking or social media website you can imagine.If you want to create a social networking website from scratch using Elgg, then this book is exactly what you need.Elgg 1.8 Social Networking covers everything you need to know about building a social networking site with Elgg. It begins with instructions for installing Elgg, continues with a guided tour of its capabilities, and finishes with practical advice on deploying Elgg on a production server. And in between, it is packed with information on configuring and customizing Elgg through plugins and themes.This book is a learn-by-doing guide to creating your own social networking site. It includes three sample case studies on how Elgg could be used as an e-learning tool, an intranet application for organizations, and a niche social networking site. Step by step it takes you through the installation, configuration, and customization of Elgg. Valuable advice is sprinkled throughout the book to enable you to build your site like an expert.For developers, this book provides a multitude of options. First, there is a tutorial-based section that systematically teaches you how to build plugins. Soon you will have ten plugins for use on your site in addition to all the knowledge you have gained. Second, if you prefer a quick overview, this book has an appendix that describes Elgg using the terminology and design patterns common in web development. Third, if you are interested in creating a theme, it also includes a design tutorial and a catalog of Elgg's view templates.The book then goes on to describe what is involved in running a production website. It has sections on selecting a hosting provider, configuring and tuning the server, backing up the site, and dealing with spammers.

Zabbix 6 IT Infrastructure Monitoring Cookbook. Explore the new features of Zabbix 6 for designing, building, and maintaining your Zabbix setup - Second Edition

Nathan Liefting, Brian van Baekel, Dmitry Lambert

This updated second edition of the Zabbix 6 IT Infrastructure Monitoring Cookbook brings you new recipes, updated with Zabbix 6 functionality. You'll learn how to set up Zabbix with built-in high availability, use the improved Business Service Monitoring, set up automatic reporting, and create advanced triggers. Zabbix offers useful insights into your infrastructure performance and issues and enables you to enhance your monitoring setup with its powerful features. This book covers hands-on, easy-to-follow recipes for using Zabbix 6 to monitor effectively the performance of devices and applications over the network.You'll start by working your way through the installation and most prominent features of Zabbix and make the right design choices for building a scalable and easily manageable environment. This Zabbix book contains recipes for building items and triggers for different types of monitoring, building templates, and using Zabbix proxies. Next, you'll use the Zabbix API for customization and manage your Zabbix server and database efficiently. Finally, you'll find quick solutions to the common and not-so-common problems that you may encounter in your Zabbix monitoring work.By the end of this book, you'll be able to use Zabbix for all your monitoring needs and build a solid Zabbix setup by leveraging its key functionalities.

Data Exploration and Preparation with BigQuery. A practical guide to cleaning, transforming, and analyzing data for business insights

Mike Kahn

Data professionals encounter a multitude of challenges such as handling large volumes of data, dealing with data silos, and the lack of appropriate tools. Datasets often arrive in different conditions and formats, demanding considerable time from analysts, engineers, and scientists to process and uncover insights. The complexity of the data life cycle often hinders teams and organizations from extracting the desired value from their data assets. Data Exploration and Preparation with BigQuery offers a holistic solution to these challenges.The book begins with the basics of BigQuery while covering the fundamentals of data exploration and preparation. It then progresses to demonstrate how to use BigQuery for these tasks and explores the array of big data tools at your disposal within the Google Cloud ecosystem.The book doesn’t merely offer theoretical insights; it’s a hands-on companion that walks you through properly structuring your tables for query efficiency and ensures adherence to data preparation best practices. You’ll also learn when to use Dataflow, BigQuery, and Dataprep for ETL and ELT workflows. The book will skillfully guide you through various case studies, demonstrating how BigQuery can be used to solve real-world data problems.By the end of this book, you’ll have mastered the use of SQL to explore and prepare datasets in BigQuery, unlocking deeper insights from data.

Exam Ref AZ-304 Microsoft Azure Architect Design Certification and Beyond. Design secure and reliable solutions for the real world in Microsoft Azure

Brett Hargreaves

The AZ-304 exam tests an architect's ability to design scalable, reliable, and secure solutions in Azure based on customer requirements. Exam Ref AZ-304 Microsoft Azure Architect Design Certification and Beyond offers complete, up-to-date coverage of the AZ-304 exam content to help you prepare for it confidently, pass the exam first time, and get ready for real-world challenges.This book will help you to investigate the need for good architectural practices and discover how they address common concerns for cloud-based solutions. You will work through the CloudStack, from identity and access through to infrastructure (IaaS), data, applications, and serverless (PaaS). As you make progress, you will delve into operations including monitoring, resilience, scalability, and disaster recovery. Finally, you'll gain a clear understanding of how these operations fit into the real world with the help of full scenario-based examples throughout the book.By the end of this Azure book, you'll have covered everything you need to pass the AZ-304 certification exam and have a handy desktop reference guide.

Flask By Example. Unleash the full potential of the Flask web framework by creating simple yet powerful web applications

Gareth Dwyer

This book will take you on a journey from learning about web development using Flask to building fully functional web applications. In the first major project, we develop a dynamic Headlines application that displays the latest news headlines along with up-to-date currency and weather information. In project two, we build a Crime Map application that is backed by a MySQL database, allowing users to submit information on and the location of crimes in order to plot danger zones and other crime trends within an area. In the final project, we combine Flask with more modern technologies, such as Twitter's Bootstrap and the NoSQL database MongoDB, to create a Waiter Caller application that allows restaurant patrons to easily call a waiter to their table. This pragmatic tutorial will keep you engaged as you learn the crux of Flask by working on challenging real-world applications.

Data Engineering with AWS. Learn how to design and build cloud-based data transformation pipelines using AWS

Gareth Eagar

Written by a Senior Data Architect with over twenty-five years of experience in the business, Data Engineering for AWS is a book whose sole aim is to make you proficient in using the AWS ecosystem. Using a thorough and hands-on approach to data, this book will give aspiring and new data engineers a solid theoretical and practical foundation to succeed with AWS.As you progress, you’ll be taken through the services and the skills you need to architect and implement data pipelines on AWS. You'll begin by reviewing important data engineering concepts and some of the core AWS services that form a part of the data engineer's toolkit. You'll then architect a data pipeline, review raw data sources, transform the data, and learn how the transformed data is used by various data consumers. You’ll also learn about populating data marts and data warehouses along with how a data lakehouse fits into the picture. Later, you'll be introduced to AWS tools for analyzing data, including those for ad-hoc SQL queries and creating visualizations. In the final chapters, you'll understand how the power of machine learning and artificial intelligence can be used to draw new insights from data.By the end of this AWS book, you'll be able to carry out data engineering tasks and implement a data pipeline on AWS independently.

Microsoft Dynamics AX 2012 R3 Financial Management. Boost your accounting and financial skills with Microsoft Dynamics AX 2012 R3

Mohamed Aamer Ala El Din (USD), Mohamed Aamer

GPT-3. The Ultimate Guide To Building NLP Products With OpenAI API

Sandra Kublik, Shubham Saboo

GPT-3 has made creating AI apps simpler than ever. This book provides a comprehensive guide on how to utilize the OpenAI API with ease. It explores imaginative methods of utilizing this tool for your specific needs and showcases successful businesses that have been established through its use.The book is divided into two sections, with the first focusing on the fundamentals of the OpenAI API. The second part examines the dynamic and thriving environment that has arisen around GPT-3.Chapter 1 sets the stage with background information and defining key terms. Chapter 2 goes in-depth into the API, breaking it down into its essential components, explaining their functions and offering best practices. Chapter 3, you will build your first app with GPT-3.Chapter 4 features interviews with the founders of successful GPT-3-based products, who share challenges and insights gained. Chapter 5 examines the perspective of enterprises on GPT-3 and its potential for adoption. The problematic consequences of widespread GPT-3 adoption, such as misapplication and bias, are addressed along with efforts to resolve these issues in Chapter 6. Finally, Chapter 7 delves into the future by exploring the most exciting trends and possibilities as GPT-3 becomes increasingly integrated into the commercial ecosystem.

Monkey Game Development: Beginner's Guide. Create monetized 2d games deployable to almost any platform with this book and

Michael Hartlef

Monkey is a programming language and toolset that allows its user to develop modern 2D games easily for mobile and other platforms like iOS, Android, HTML5, FLASH, OSX, Windows and XNA. With Monkey you can create best selling games in a matter of weeks, instead of months.Monkey Game Development Beginner's Guide provides easy-to-follow step by step instructions on how to create eight different 2D games and how to deploy them to various platforms and markets. Learning about the structure of Monkey and how everything works together you will quickly create eight classical games and publish them to the modern app markets. Throughout the book you will learn important game development techniques like collision detection, handling player input with mouse, keyboard or touch events and creating challenging computer AI. The author explains how to emit particle effects, play sound and music files, use sprite sheets, load or save high-score tables and handle different device resolutions. Finally you will learn how to monetize your games so you can generate revenue.

Autodesk Inventor 2023 Cookbook. A guide to gaining advanced modeling and automation skills for design engineers through actionable recipes

Alexander Bordino

Autodesk Inventor is an industry-leading, computer-aided design application for 3D mechanical design, simulation, visualization, and documentation. This book will help to bridge the gap between the fundamentals of this software and the more advanced features, workflows, and environments it has to offer.Using cookbook-style recipes, you’ll gain a comprehensive understanding and practical experience in creating dynamic 3D parts, assemblies, and complete designs. You’ll also explore a variety of topics, including automation and parametric techniques, collaboration tools, creating sheet metal designs, and design accelerators such as frame generators. As you progress, the chapters will guide you through surface modeling tools, advanced assembly, and simplification tools, along with covering iLogic, Finite Element Analysis, and more.By the end of this book, you’ll not only be able to use the advanced functionality within Autodesk Inventor but also have the practical experience you need to deploy specific techniques in your own projects and workflows.

SAP HANA Cookbook. Your all-inclusive guide to understanding SAP HANA with practical recipes with over 50 recipes

Chandrasekhar Mankala (USD), Ganesh Mahadevan V., Ganesh Mahadevan (USD)

SAP HANA is a real-time applications platform that provides a multi-purpose, in-memory appliance. Decision makers in the organization can gain instant insight into business operations. Thus all the data available can be analysed and you can react to the changing business conditions rapidly to make decisions. The real-time platform not only empowers business users and top management to make decisions but also provides the capability to make decisions in real-time.A practical and comprehensive guide that helps you understand the power of SAP HANA’s real-time and in-memory capabilities. It also provides step-by-step instructions to exploit all the possible features of the SAP HANA database, enabling users to harness the full potential of this technology and its features.You will gain an understanding of real-time replications, effective data loading from various sources, how to load data, and how to create re-usable objects such as models and reports.Use this practical guide to enable or transform your business landscape by implementing SAP HANA to meet your business requirements. The book shows you how to load data from different types of systems, create models in SAP HANA, and consume data for decision-making. The book covers various tools at different stages creating models using SAP HANA Studio, and consuming data using reporting tools such as SAP BusinessObjects, SAP Lumira, and so on . This book also explains the in-depth architecture of SAP HANA to help you understand SAP HANA as an appliance, that is, a combination of hardware and software.The book covers the best practices to leverage SAP HANA’s in-memory technology to transform data into insightful information. It also covers technology landscaping, solution architecture, connectivity, data loading, and setting up the environment for modeling purpose (including setup of SAP HANA Studio).If you have an intention to start your career as SAP HANA Modeler, this book is the perfect start. 

Before Machine Learning Volume 1 - Linear Algebra for A.I. The Fundamental Mathematics for Data Science and Artificial Intelligence

Jorge Brasil

In this book, you'll embark on a comprehensive journey through the fundamentals of linear algebra, a critical component for any aspiring machine learning expert. Starting with an introductory overview, the course explains why linear algebra is indispensable for machine learning, setting the stage for deeper exploration. You'll then dive into the concepts of vectors and matrices, understanding their definitions, properties, and practical applications in the field.As you progress, the course takes a closer look at matrix decomposition, breaking down complex matrices into simpler, more manageable forms. This section emphasizes the importance of decomposition techniques in simplifying computations and enhancing data analysis. The final chapter focuses on principal component analysis, a powerful technique for dimensionality reduction that is widely used in machine learning and data science. By the end of the course, you will have a solid grasp of how PCA can be applied to streamline data and improve model performance.This course is designed to provide technical professionals with a thorough understanding of linear algebra's role in machine learning. By the end, you'll be well-equipped with the knowledge and skills needed to apply linear algebra in practical machine learning scenarios.

Data Engineering with AWS. Acquire the skills to design and build AWS-based data transformation pipelines like a pro - Second Edition

Gareth Eagar

This book, authored by a seasoned Senior Data Architect with 25 years of experience, aims to help you achieve proficiency in using the AWS ecosystem for data engineering. This revised edition provides updates in every chapter to cover the latest AWS services and features, takes a refreshed look at data governance, and includes a brand-new section on building modern data platforms which covers; implementing a data mesh approach, open-table formats (such as Apache Iceberg), and using DataOps for automation and observability.You'll begin by reviewing the key concepts and essential AWS tools in a data engineer's toolkit and getting acquainted with modern data management approaches. You'll then architect a data pipeline, review raw data sources, transform the data, and learn how that transformed data is used by various data consumers. You’ll learn how to ensure strong data governance, and about populating data marts and data warehouses along with how a data lakehouse fits into the picture. After that, you'll be introduced to AWS tools for analyzing data, including those for ad-hoc SQL queries and creating visualizations. Then, you'll explore how the power of machine learning and artificial intelligence can be used to draw new insights from data. In the final chapters, you'll discover transactional data lakes, data meshes, and how to build a cutting-edge data platform on AWS.By the end of this AWS book, you'll be able to execute data engineering tasks and implement a data pipeline on AWS like a pro!

Python Natural Language Processing Cookbook. Over 50 recipes to understand, analyze, and generate text for implementing language processing tasks

Zhenya Antić

Python is the most widely used language for natural language processing (NLP) thanks to its extensive tools and libraries for analyzing text and extracting computer-usable data. This book will take you through a range of techniques for text processing, from basics such as parsing the parts of speech to complex topics such as topic modeling, text classification, and visualization.Starting with an overview of NLP, the book presents recipes for dividing text into sentences, stemming and lemmatization, removing stopwords, and parts of speech tagging to help you to prepare your data. You’ll then learn ways of extracting and representing grammatical information, such as dependency parsing and anaphora resolution, discover different ways of representing the semantics using bag-of-words, TF-IDF, word embeddings, and BERT, and develop skills for text classification using keywords, SVMs, LSTMs, and other techniques. As you advance, you’ll also see how to extract information from text, implement unsupervised and supervised techniques for topic modeling, and perform topic modeling of short texts, such as tweets. Additionally, the book shows you how to develop chatbots using NLTK and Rasa and visualize text data.By the end of this NLP book, you’ll have developed the skills to use a powerful set of tools for text processing.