F# for Quantitative Finance. An introductory guide to utilizing F# for quantitative finance leveraging the .NET platform

Johan Astborg

F# is a functional programming language that allows you to write simple code for complex problems. Currently, it is most commonly used in the financial sector. Quantitative finance makes heavy use of mathematics to model various parts of finance in the real world. If you are interested in using F# for your day-to-day work or research in quantitative finance, this book is a must-have.This book will cover everything you need to know about using functional programming for quantitative finance. Using a functional programming language will enable you to concentrate more on the problem itself rather than implementation details. Tutorials and snippets are summarized into an automated trading system throughout the book.This book will introduce you to F#, using Visual Studio, and provide examples with functional programming and finance combined. The book also covers topics such as downloading, visualizing and calculating statistics from data.F# is a first class programming language for the financial domain.

ASP.NET Core 9 Essentials. Master Razor Pages, Blazor, and MVC to build powerful, cloud-ready web applications

Albert S. Tanure

Build cutting-edge web applications using ASP.NET Core 9 with this comprehensive guide from Microsoft MVP Albert Tanure, a seasoned .NET expert with over 20 years of experience as a cloud solutions architect. Albert brings unparalleled expertise in building modern web applications to ASP.NET Core 9 Essentials to help you kickstart your journey on the right foot.Starting with the platform’s fundamental concepts, you’ll work through practical exercises to develop web applications with powerful UI frameworks, deliver flexible and scalable solutions through an API approach, and explore advanced topics such as customizing request flows and implementing robust security measures. You’ll get to grips with cloud-native practices to prepare your applications for cloud environments. Whether you’re a beginner or an experienced developer, this book is your guide to building modern, secure, and adaptable web applications with ASP.NET Core.By the end, you'll have the skills to create professional web applications that are scalable, resilient, and secure.

The Power Platform Playbook for Digital Transformation. Implement strategy, automation, and AI for scalable digital transformation

Victor Dantas, Chris Huntingford

Written by Victor Dantas, a five-time Microsoft MVP, and Chris Huntingford, MVP, Microsoft Certified Trainer, and FastTrack Recognized Solution Architect, this book distills the collective wisdom of two global thought leaders at the forefront of technological innovation. The Power Platform Playbook for Digital Transformation is your guide to strategizing, implementing, and scaling digital transformation using Power Apps, Power Automate, Power BI, Power Pages, and Copilot Studio. It equips you with tools to streamline operations, enhance decision-making, and scale automation without deep coding expertise.Unlike technical manuals that focus only on implementation, this book takes a holistic approach, combining strategy and execution. You’ll learn how to build enterprise-grade applications, automate repetitive tasks, and integrate Power Platform with Microsoft 365, Dynamics 365, and third-party services. Real-world case studies, best practices, and step-by-step guidance equip you to implement governance, security, and compliance while ensuring long-term success.Whether you’re a business leader driving transformation, an IT professional managing enterprise automation, or a business analyst optimizing processes, this book provides a clear roadmap to leveraging Power Platform for scalable, AI-enhanced digital innovation.

Kubernetes Anti-Patterns. Overcome common pitfalls to achieve optimal deployments and a flawless Kubernetes ecosystem

Govardhana Miriyala Kannaiah

As the popularity of Kubernetes continues to grow, it’s essential to understand and navigate the potential challenges of scalability, resource optimization, troubleshooting, and security. Kubernetes Anti-Patterns offers vital insights and strategies tailored to the current needs of practitioners and enthusiasts navigating the complexities of Kubernetes. Penned by an AWS-certified solutions architect with 16+ years of experience, this book will teach you the essential Kubernetes anti-patterns, their types, causes, and consequences. You’ll find practical solutions for each of the challenges and uncover real-world examples and case studies to enhance your Kubernetes expertise. Beyond technical details, you’ll delve into optimization, proactive assessment, and prevention strategies, ensuring your Kubernetes endeavors are marked by success and efficiency. Experienced or beginner, this book will equip you with the right knowledge to deploy and maintain a robust Kubernetes environment. By the end of this book, you’ll gain a holistic understanding of Kubernetes anti-patterns and develop the expertise to identify and address issues in various Kubernetes contexts. This knowledge will enable you to optimize your container orchestration environments and ensure the reliability, scalability, and security of your applications.

Azure OpenAI Essentials. A practical guide to unlocking generative AI-powered innovation with Azure OpenAI

Amit Mukherjee, Adithya Saladi, Marco Casalaina

Find out what makes Azure OpenAI a robust platform for building AI-driven solutions that can transform how businesses operate. Written by seasoned experts from Microsoft, this book will guide you in understanding Azure OpenAI from fundamentals through to advanced concepts and best practices.The book begins with an introduction to large language models (LLMs) and the Azure OpenAI Service, detailing how to access, use, and optimize its models. You'll learn how to design and implement AI-driven solutions, such as question-answering systems, contact center analytics, and GPT-powered search applications. Additionally, the chapters walk you through advanced concepts, including embeddings, fine-tuning models, prompt engineering, and building custom AI applications using LangChain and Semantic Kernel. You'll explore real-world use cases such as QnA systems, document summarizers, and SQLGPT for database querying, as well as gain insights into securing and operationalizing these solutions in enterprises.By the end of this book, you'll be ready to design, develop, and deploy scalable AI solutions, ensuring business success through intelligent automation and data-driven insights.

FL Studio Cookbook. The lofi, retrowave, and horror music chef's guide to FL Studio music production

Chris Rena

Whether it's overcoming creative blocks, troubleshooting technical issues, or refining your workflow, every budding producer faces challenges. The FL Studio Cookbook is here to provide practical solutions to common problems, empowering you to navigate any obstacle with ease by exploring one of the most renowned, industry-standard DAWs.The recipe-based approach of this book means that you’ll unlock the secrets of crafting captivating melodies and learn the art of composition with practical, step-by-step instructions, discovering how to construct melodies that evoke emotion and leave a lasting impression. From chord progressions to counterpoint, you’ll get actionable insights to help you compose music that resonates with your audience. You’ll also master the intricacies of mixing and mastering, by familiarizing yourself with the entire process from balancing levels and sculpting sounds to applying effects. You’ll also explore the endless possibilities of sculpting sound from scratch, whether you're crafting custom synths, designing unique textures, or layering effects to create otherworldly sounds.By the end of this book, you'll have acquired the skills to confidently craft professional-quality lofi, retrowave, and horror music tracks, gaining the expertise to express your musical vision and take your music production to new heights.

Time Series Analysis with Spark. A practical guide to processing, modeling, and forecasting time series with Apache Spark

Yoni Ramaswami, Dael Williamson, Jan Govaere

Written by Databricks Senior Solutions Architect Yoni Ramaswami, whose expertise in Data and AI has shaped innovative digital transformations across industries, this comprehensive guide bridges foundational concepts of time series analysis with the Spark framework and Databricks, preparing you to tackle real-world challenges with confidence.From preparing and processing large-scale time series datasets to building reliable models, this book offers practical techniques that scale effortlessly for big data environments. You’ll explore advanced topics such as scaling your analyses, deploying time series models into production, Generative AI, and leveraging Spark's latest features for cutting-edge applications across industries. Packed with hands-on examples and industry-relevant use cases, this guide is perfect for data engineers, ML engineers, data scientists, and analysts looking to enhance their expertise in handling large-scale time series data.By the end of this book, you’ll have mastered the skills to design and deploy robust, scalable time series models tailored to your unique project needs—qualifying you to excel in the rapidly evolving world of big data analytics.

Learning Geospatial Analysis with Python. Unleash the power of Python 3 with practical techniques for learning GIS and remote sensing - Fourth Edition

Joel Lawhead

Geospatial analysis is used in almost every domain you can think of, including defense, farming, and even medicine. In this special 10th anniversary edition, you'll embark on an exhilarating geospatial analysis adventure using Python.This fourth edition starts with the fundamental concepts, enhancing your expertise in geospatial analysis processes with the help of illustrations, basic formulas, and pseudocode for real-world applications. As you progress, you’ll explore the vast and intricate geospatial technology ecosystem, featuring thousands of software libraries and packages, each offering unique capabilities and insights. This book also explores practical Python GIS geospatial applications, remote sensing data, elevation data, and the dynamic world of geospatial modeling. It emphasizes the predictive and decision-making potential of geospatial technology, allowing you to visualize complex natural world concepts, such as environmental conservation, urban planning, and disaster management to make informed choices. You’ll also learn how to leverage Python to process real-time data and create valuable information products.By the end of this book, you'll have acquired the knowledge and techniques needed to build a complete geospatial application that can generate a report and can be further customized for different purposes.

The Chief AI Officer's Handbook. Master AI leadership with strategies to innovate, overcome challenges, and drive business growth

Jarrod Anderson, Jeff Winter

Chief Artificial Intelligence Officers (CAIOs) are now imperative for businesses, enabling organizations to achieve strategic goals and unlock transformative opportunities through the power of AI. By building intelligent systems, training models to drive impactful decisions, and creating innovative applications, they empower organizations to thrive in an AI-driven world. Written by Jarrod Anderson, Chief AI Officer at SYRV.AI, this book bridges the gap between visionary leadership and practical execution.This handbook reimagines AI leadership for today’s fast-paced environment, leveraging predictive, deterministic, generative, and agentic AI to address complex challenges and foster innovation. It provides CAIOs with the strategies to develop transformative AI initiatives, build and lead elite teams, and adopt AI responsibly while maintaining compliance. From shaping impactful solutions to achieving measurable business outcomes, this guide offers a roadmap for making AI your organization’s competitive edge.By the end of this book, you’ll have the knowledge and tools to excel as a Chief AI Officer, driving innovation, strategic growth, and lasting success for your organization.

Developing Kaggle Notebooks. Pave your way to becoming a Kaggle Notebooks Grandmaster

Gabriel Preda, D. Sculley, Anthony Goldbloom

Developing Kaggle Notebooks introduces you to data analysis, with a focus on using Kaggle Notebooks to simultaneously achieve mastery in this fi eld and rise to the top of the Kaggle Notebooks tier. The book is structured as a sevenstep data analysis journey, exploring the features available in Kaggle Notebooks alongside various data analysis techniques.For each topic, we provide one or more notebooks, developing reusable analysis components through Kaggle's Utility Scripts feature, introduced progressively, initially as part of a notebook, and later extracted for use across future notebooks to enhance code reusability on Kaggle. It aims to make the notebooks' code more structured, easy to maintain, and readable.Although the focus of this book is on data analytics, some examples will guide you in preparing a complete machine learning pipeline using Kaggle Notebooks. Starting from initial data ingestion and data quality assessment, you'll move on to preliminary data analysis, advanced data exploration, feature qualifi cation to build a model baseline, and feature engineering. You'll also delve into hyperparameter tuning to iteratively refi ne your model and prepare for submission in Kaggle competitions. Additionally, the book touches on developing notebooks that leverage the power of generative AI using Kaggle Models.

Hands-On Industrial Internet of Things. Build robust industrial IoT infrastructure by using the cloud and artificial intelligence - Second Edition

Giacomo Veneri, Antonio Capasso

In today's automation-driven era, precision is crucial, and the Industrial Internet of Things (IIoT) has made a remarkable impact. This updated second edition explores the technologies fueling the IIoT revolution and shares essential knowledge to enable you to establish remote-access networks.Written by IIoT and AI experts, as well as renowned authors, this book helps you enhance your skills in emerging technologies by introducing new techniques from Azure and AWS and keeping you up to date with the latest advancements. You'll find out how Artificial Intelligence of Things (AIoT) and MLOps apply to IIoT and learn how to handle complex projects confidently. The book covers identifying and connecting industrial data sources from various sensors, advancing from foundational concepts to professional skills. You'll discover how to connect these sensors to cloud networks such as AWS IoT, Azure IoT, and open source IoT platforms, and extract data from the cloud to your devices. Through hands-on experience with tools such as Node-RED, OPC UA, MQTT, NoSQL, defense in depth, and Python, you'll develop streaming and batch-based AI algorithms.By the end of this book, you'll have achieved a professional level of expertise in the cloud, IoT, and AI, and be able to build more robust, efficient, and reliable IoT infrastructure for your industry.

The Kubernetes Book. The fastest way to get your head around Kubernetes

Nigel Poulton, Pushkar Joglekar

Kubernetes is the leading orchestrator of cloud-native apps. With knowledge of how to work with Kubernetes, you can easily deploy and manage applications on the cloud or in your on-premises data center. The book begins by introducing you to Kubernetes and showing you how to install it. You’ll learn how to use Kubernetes Services and bring stable and reliable networking to apps that are deployed on Kubernetes. You'll delve deep into the powerful storage subsystem of Kubernetes and learn how to leverage the variety of external storage backends in your applications. As the book progresses, it shows you how to use features such as DaemonSets, Helm, and RBAC to enhance your Kubernetes applications. You'll explore the six categories of identifying vulnerabilities and look at a few ways to prevent and mitigate them. You'll also look at ways to secure the software delivery pipeline by discussing some image-related best practices. The book ends by sharing with you some resources that’ll help take your Kubernetes knowledge to the next level.By the end of the book, you’ll have the confidence and skills to leverage all the features of Kubernetes to develop scalable applications.

Unveiling the NIST Risk Management Framework (RMF). A practical guide to implementing RMF and managing risks in your organization

Thomas Marsland, Jaclyn "Jax" Scott

This comprehensive guide provides clear explanations, best practices, and real-world examples to help readers navigate the NIST Risk Management Framework (RMF) and develop practical skills for implementing it effectively. By the end, readers will be equipped to manage and mitigate cybersecurity risks within their organization.

Extending Excel with Python and R. Unlock the potential of analytics languages for advanced data manipulation and visualization

Steven Sanderson, David Kun

– Extending Excel with Python and R is a game changer resource written by experts Steven Sanderson, the author of the healthyverse suite of R packages, and David Kun, co-founder of Functional Analytics. – This comprehensive guide transforms the way you work with spreadsheet-based data by integrating Python and R with Excel to automate tasks, execute statistical analysis, and create powerful visualizations. – Working through the chapters, you’ll find out how to perform exploratory data analysis, time series analysis, and even integrate APIs for maximum efficiency. – Both beginners and experts will get everything you need to unlock Excel's full potential and take your data analysis skills to the next level. – By the end of this book, you’ll be able to import data from Excel, manipulate it in R or Python, and perform the data analysis tasks in your preferred framework while pushing the results back to Excel for sharing with others as needed.

Developing Solutions for Microsoft Azure AZ-204 Exam Guide. A comprehensive guide to passing the AZ-204 exam - Second Edition

Paul Ivey, Alex Ivanov

Get ready to delve into Microsoft Azure and build efficient cloud-based solutions with this updated second edition. Authored by seasoned Microsoft trainers, Paul Ivey and Alex Ivanov, this book offers a structured approach to mastering the AZ-204 exam topics while focusing on the intricacies of Azure development.You’ll familiarize yourself with cloud fundamentals, understanding the core concepts of Azure and various cloud models. Next, you’ll gain insights into Azure App Service web apps, containers and container-related services in Azure, Azure Functions, and solutions using Cosmos DB and Azure Blob Storage. Later, you'll learn how to secure your cloud solutions effectively as well as how to implement message- and event-based solutions and caching. You’ll also explore how to monitor and troubleshoot your solutions effectively. To build on your skills, you’ll get hands-on with monitoring, troubleshooting, and optimizing Azure applications, ensuring peak performance and reliability. Moving ahead, you’ll be able to connect seamlessly to third-party services, harnessing the power of API management, event-based solutions, and message-based solutions.By the end of this MS Azure book, you'll not only be well-prepared to pass the AZ-204 exam but also be equipped with practical skills to excel in Azure development projects.

The Aspiring CIO and CISO. A career guide to developing leadership skills, knowledge, experience, and behavior

David J. Gee, Darryl West

Explore the intricacies of CIO and CISO roles with The Aspiring CIO and CISO by David Gee. This book leverages Gee's 20+ years of digital and cyber leadership experience, providing real-world insights, making it a valuable resource for those navigating the evolving landscape of the C-suite.Tailored to entry-level, mid-level, and senior managers looking to advance to the C-suite, this book serves a unique purpose in the realm of career guidance. The narrative speaks directly to individuals uncertain about their readiness for CIO or CISO roles, offering a personal mentorship experience that goes beyond technicalities. Armed with insights into crafting a powerful 90-day plan, you'll be well-equipped to catapult into CIO or CISO roles successfully. Beyond technical proficiency, the book instills survival skills, ensuring longevity and helping you prevent burnout in these pivotal positions. Additionally, by mastering the art of brand development and soft skills, you'll grasp the interpersonal dynamics crucial for executive leadership. This book is an indispensable guide for ambitious professionals, offering foresight and empowerment to thrive in the digital age.By the end of this book, you'll emerge with strategic dexterity, confidently steering your career trajectory towards the C-suite.

Data Labeling in Machine Learning with Python. Explore modern ways to prepare labeled data for training and fine-tuning ML and generative AI models

Vijaya Kumar Suda

Data labeling is the invisible hand that guides the power of artificial intelligence and machine learning. In today’s data-driven world, mastering data labeling is not just an advantage, it’s a necessity. Data Labeling in Machine Learning with Python empowers you to unearth value from raw data, create intelligent systems, and influence the course of technological evolution.With this book, you'll discover the art of employing summary statistics, weak supervision, programmatic rules, and heuristics to assign labels to unlabeled training data programmatically. As you progress, you'll be able to enhance your datasets by mastering the intricacies of semi-supervised learning and data augmentation. Venturing further into the data landscape, you'll immerse yourself in the annotation of image, video, and audio data, harnessing the power of Python libraries such as seaborn, matplotlib, cv2, librosa, openai, and langchain. With hands-on guidance and practical examples, you'll gain proficiency in annotating diverse data types effectively.By the end of this book, you’ll have the practical expertise to programmatically label diverse data types and enhance datasets, unlocking the full potential of your data.

Unity 6 Game Development with C# Scripting. Leverage C# scripting in Unity to create immersive games and VR experiences

Lem Apperson, Jonathan Weinberger

As developers tackle the growing complexity of creating immersive, high-performance games, the need for robust and efficient scripting continues to increase. Written by a game developer and Unity/C# expert known for his Apple App Store titles and extensive certifications, this book will help both new and seasoned developers overcome this challenge by helping you build a solid foundation in C# scripting within Unity and navigate the increasing demands of real-time game development.You’ll explore Unity-specific strategies for creating engaging user interfaces, vital in today's dynamic gaming landscape. The chapters walk you through Unity-specific classes and methods, empowering you to create diverse gaming experiences in both 3D and 2D environments. You’ll also manage complex developmental aspects, including AI, multiplayer setups, and VR integration, which are becoming increasingly relevant in the evolving gaming industry. The book serves as an invaluable resource for troubleshooting, offering techniques for debugging C# scripts and optimizing game performance—essential for crafting smooth and immersive gaming experiences.By the end of this book, you’ll be able to create both simple and complex games in Unity, opening doors to careers in game development and interactive media design.

Modern Time Series Forecasting with Python. Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas - Second Edition

Manu Joseph, Jeffrey Tackes, Christoph Bergmeir

Predicting the future, whether it's market trends, energy demand, or website traffic, has never been more crucial. This practical, hands-on guide empowers you to build and deploy powerful time series forecasting models. Whether you’re working with traditional statistical methods or cutting-edge deep learning architectures, this book provides structured learning and best practices for both.Starting with the basics, this data science book introduces fundamental time series concepts, such as ARIMA and exponential smoothing, before gradually progressing to advanced topics, such as machine learning for time series, deep neural networks, and transformers. As part of your fundamentals training, you’ll learn preprocessing, feature engineering, and model evaluation. As you progress, you’ll also explore global forecasting models, ensemble methods, and probabilistic forecasting techniques.This new edition goes deeper into transformer architectures and probabilistic forecasting, including new content on the latest time series models, conformal prediction, and hierarchical forecasting. Whether you seek advanced deep learning insights or specialized architecture implementations, this edition provides practical strategies and new content to elevate your forecasting skills.

Microsoft Certified Azure Data Fundamentals (DP-900) Exam Guide. Build a solid foundation in Azure data services and pass the DP-900 exam on your first try

Steve Miles

Microsoft's Azure Data Fundamentals (DP-900) certification exam validates your expertise in core data concepts and Azure’s powerful data services capabilities. This comprehensive guide written by Steve Miles—a Microsoft Azure MVP and certified trainer with over 25 years of experience in cloud data services and 30+ certifications across major platforms—serves as your gateway to a future shaped by data and AI, regardless of your technical background.With the help of examples, you'll learn fundamental data concepts, including data representation, data storage options, and common workloads and gain clarity on the roles and responsibilities of key data professionals such as data administrators, engineers, and analysts. This guide covers all crucial exam domains, from data services capabilities of the Azure cloud platform to considerations for relational, non-relational, and analytics workloads, encompassing both Microsoft and open-source technologies.To supplement your exam prep, this book gives you access to a suite of online resources designed to boost your confidence, including mock tests, interactive flashcards, and invaluable exam tipsBy the end of this book, you’ll be fully prepared not only to pass the DP-900 exam but also to confidently tackle data solutions in Azure, setting a strong foundation for your data-driven career

101 UX Principles. Actionable Solutions for Product Design Success - Second Edition

Will Grant

Design is everywhere. Take a look around you right now and consider the products and services we use every day. You'll notice that our computer and phone operating systems, our web browsers, and the apps we use to work, order food, socialize and even date have been designed by UX specialists to offer you the best experiences when using their products and services.Of course, not all online experiences are designed with our best interests in mind. That's exactly why UX design is such an exciting and rewarding field?by learning the logic behind what people engage with and implementing it in your UX work, you can craft intuitive, accessible, and highly functional designs for your digital products.The 2nd edition of 101 UX Principles is the perfect companion when working on digital projects and making the right decisions for your users. From landing pages and checkout basket UIs to startup launch products and enterprise software solutions, a rich user experience design will maximize the success of your product.The audiobook includes an exclusive invitation to join an online UX designers' community, where you can read the book alongside peers and other UX designers, and participate in various challenges and discussions with the author. See you there!

Practical Hardware Pentesting. Learn attack and defense techniques for embedded systems in IoT and other devices - Second Edition

Jean-Georges Valle

Practical Hardware Pentesting, Second Edition, is an example-driven guide that will help you plan attacks, hack your embedded devices, and secure the hardware infrastructure.Throughout the book, you’ll explore the functional and security aspects of a device and learn how a system senses and communicates with the outside world. You’ll set up a lab from scratch and gradually work towards an advanced hardware lab.The first part of this book will get you attacking the software of an embedded device. This will get you thinking from an attacker point of view; you’ll understand how devices are attacked, compromised, and how you can harden a device against the most common hardware attack vectors. As you progress, you’ll get to grips with the global architecture of an embedded system and sniff on-board traffic, learn how to identify and formalize threats to the embedded system, and understand its relationship with its ecosystem. This 2nd Edition covers real-world examples featuring various devices like smart TVs, baby monitors, or pacemakers, you’ll discover how to analyze hardware and locate its possible vulnerabilities before going on to explore firmware dumping, analysis, and exploitation.By the end of this book, you’ll and understand how to implement best practices to secure your hardware.

LangChain in your Pocket. LangChain Essentials: From Basic Concepts to Advanced Applications

Mehul Gupta

LangChain in your Pocket offers a detailed exploration into the LangChain framework, designed to enhance your skills in developing sophisticated language understanding models and applications. This book begins with the basics, introducing you to the fundamental concepts of LangChain through a simple Hello World example. As you progress, you'll delve into various LangChain modules, learning how to create agents, manage memory, and utilize output parsers effectively.The journey continues as you explore the RAG Framework, vector databases, and their applications in natural language processing, providing you with the tools to tackle common NLP problems efficiently. The book also addresses critical aspects of working with large language models (LLMs), such as prompt engineering, handling hallucinations, and evaluating model outputs. Advanced topics like autonomous AI agents and the integration of LangSmith and LangServe are covered, giving you a holistic view of what you can achieve with LangChain.By the end of this book, you will not only understand the technical aspects of LangChain but also how to apply these principles in real-world scenarios, making it an essential resource for anyone looking to advance their capabilities in AI and language processing.

AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide. The ultimate guide to passing the MLS-C01 exam on your first attempt - Second Edition

Somanath Nanda, Weslley Moura

The AWS Certified Machine Learning Specialty (MLS-C01) exam evaluates your ability to execute machine learning tasks on AWS infrastructure. This comprehensive book aligns with the latest exam syllabus, offering practical examples to support your real-world machine learning projects on AWS. Additionally, you'll get lifetime access to supplementary online resources, including mock exams with exam-like timers, detailed solutions, interactive flashcards, and invaluable exam tips, all accessible across various devices—PCs, tablets, and smartphones.Throughout the book, you’ll learn data preparation techniques for machine learning, covering diverse methods for data manipulation and transformation across different variable types. Addressing challenges such as missing data and outliers, the book guides you through an array of machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, text mining, and image processing, accompanied by requisite machine learning algorithms essential for exam success. The book helps you master the deployment of models in production environments and their subsequent monitoring.Equipped with insights from this book and the accompanying mock exams, you'll be fully prepared to achieve the AWS MLS-C01 certification.