Learn how to bring your data to life with this hands-on guide to visual analytics with Tableau Key Features Master the fundamentals of Tableau Desktop and Tableau Prep Learn how to explore, analyze, and present data to provide business insights Build your experience and confidence with hands-on exercises and activities Book DescriptionLearning Tableau has never been easier, thanks to this practical introduction to storytelling with data. The Tableau Workshop breaks down the analytical process into five steps: data preparation, data exploration, data analysis, interactivity, and distribution of dashboards. Each stage is addressed with a clear walkthrough of the key tools and techniques you'll need, as well as engaging real-world examples, meaningful data, and practical exercises to give you valuable hands-on experience. As you work through the book, you'll learn Tableau step by step, studying how to clean, shape, and combine data, as well as how to choose the most suitable charts for any given scenario. You'll load data from various sources and formats, perform data engineering to create new data that delivers deeper insights, and create interactive dashboards that engage end-users. All concepts are introduced with clear, simple explanations and demonstrated through realistic example scenarios. You'll simulate real-world data science projects with use cases such as traffic violations, urban populations, coffee store sales, and air travel delays. By the end of this Tableau book, you'll have the skills and knowledge to confidently present analytical results and make data-driven decisions. What you will learn Become an effective user of Tableau Prep and Tableau Desktop Load, combine, and process data for analysis and visualization Understand different types of charts and when to use them Perform calculations to engineer new data and unlock hidden insights Add interactivity to your visualizations to make them more engaging Create holistic dashboards that are detailed and user-friendly Who this book is forThis book is for anyone who wants to get started on visual analytics with Tableau. If you're new to Tableau, this Workshop will get you up and running. If you already have some experience in Tableau, this book will help fill in any gaps, consolidate your understanding, and give you extra practice of key tools.

An end-to-end practical guide to implementing Salesforce CPQ solutions, shortening your sales cycle, and generating a higher ROI Key Features Maximize sales by reducing turnaround time and providing a quick analysis of profits and losses Get up to speed with Salesforce CPQ concepts, best practices, and tips when choosing the right CPQ implementation strategy Implement CPQ configurations and automations for B2B and B2C business scenarios Book DescriptionSalesforce CPQ is innovative software that enables you create better quotes, improve quoting accuracy, and maximize sales and deals. It also provides a quick analysis of profits and losses, helping you improve the overall execution of sales processes, and allows a great deal of flexibility for your prospects, customers, and business partners. The book starts with the Quote-2-Cash business process in Salesforce and shows you how to assess when a business needs to implement CPQ. You'll then progress to configuring opportunities, quotes, and CPQ products. As you advance, you'll understand how to define and configure price books, price rules for CPQ quote automation, multidimensional quoting, and more. Next, you'll look at how to configure CPQ guided selling and create package configurations, contracts, and amendments. Later chapters will demonstrate how to perform data migration from a legacy system and the order in which the objects are to be migrated. You'll also explore CPQ billing and its advantages with the help of different use cases before learning about Industries CPQ and how it is different from standard Salesforce CPQ. Finally, you'll discover best practices for achieving optimal CPQ performance and avoiding performance bottlenecks. By the end of this Salesforce book, you'll be able to implement Salesforce CPQ for any business. What you will learn Understand Quote-2-Cash business processes and configure opportunities and quotes Create custom CPQ actions and use custom filters for automating business needs Discover how to configure products and product rules Understand the CPQ pricing structure and methods, rules, multidimensional quoting, and quote automation Explore the CPQ data model and use the Salesforce Schema Builder to view and configure object relationships Configure contracts, amendments, and renewals in Salesforce Focus on CPQ billing and its advantages Gain comprehensive insights into Industries CPQ Who this book is forThis book is for Salesforce administrators, business analysts, functional consultants, sales managers, Salesforce architects, and those looking to gain Salesforce CPQ certification. Working knowledge of the Salesforce ecosystem is recommended to get the most out of this book.

Learn how to create your own AI model and consume it in your Power BI reports to gain better insights from your data Key Features Learn how to gain better insights from your data by applying different AI techniques within Power BI Save time by creating machine learning models independently and integrating them within your BI reports Understand how to combine Cognitive Services and Azure Machine Learning together with Power BI Book DescriptionThe artificial intelligence (AI) capabilities in Power BI enable organizations to quickly and easily gain more intelligent insights from unstructured and structured data. This book will teach you how to make use of the many AI features available today in Power BI to quickly and easily enrich your data and gain better insights into patterns that can be found in your data. You'll begin by understanding the benefits of AI and how it can be used in Power BI. Next, you'll focus on exploring and preparing your data for building AI projects and then progress to using prominent AI features already available in Power BI, such as forecasting, anomaly detection, and Q&A. Later chapters will show you how to apply text analytics and computer vision within Power BI reports. This will help you create your own Q&A functionality in Power BI, which allows you to ask FAQs from another knowledge base and then integrate it with PowerApps. Toward the concluding chapters, you'll be able to create and deploy AutoML models trained in Azure ML and consume them in Power Query Editor. After your models have been trained, you'll work through principles such as privacy, fairness, and transparency to use AI responsibly. By the end of this book, you'll have learned when and how to enrich your data with AI using the out-of-the-box AI capabilities in Power BI. What you will learn Apply techniques to mitigate bias and handle outliers in your data Prepare time series data for forecasting in Power BI Prepare and shape your data for anomaly detection Use text analytics in Power Query Editor Integrate QnA Maker with PowerApps and create an app Train your own models and identify the best one with AutoML Integrate an Azure ML workspace with Power BI and use endpoints to generate predictions Who this book is forThis artificial intelligence BI book is for data analysts and BI developers who want to explore advanced analytics or artificial intelligence possibilities with their data. Prior knowledge of Power BI will help you get the most out of this book.

Build production-grade machine learning models with Amazon SageMaker Studio, the first integrated development environment in the cloud, using real-life machine learning examples and code Key Features Understand the ML lifecycle in the cloud and its development on Amazon SageMaker Studio Learn to apply SageMaker features in SageMaker Studio for ML use cases Scale and operationalize the ML lifecycle effectively using SageMaker Studio Book DescriptionAmazon SageMaker Studio is the first integrated development environment (IDE) for machine learning (ML) and is designed to integrate ML workflows: data preparation, feature engineering, statistical bias detection, automated machine learning (AutoML), training, hosting, ML explainability, monitoring, and MLOps in one environment. In this book, you'll start by exploring the features available in Amazon SageMaker Studio to analyze data, develop ML models, and productionize models to meet your goals. As you progress, you will learn how these features work together to address common challenges when building ML models in production. After that, you'll understand how to effectively scale and operationalize the ML life cycle using SageMaker Studio. By the end of this book, you'll have learned ML best practices regarding Amazon SageMaker Studio, as well as being able to improve productivity in the ML development life cycle and build and deploy models easily for your ML use cases. What you will learn Explore the ML development life cycle in the cloud Understand SageMaker Studio features and the user interface Build a dataset with clicks and host a feature store for ML Train ML models with ease and scale Create ML models and solutions with little code Host ML models in the cloud with optimal cloud resources Ensure optimal model performance with model monitoring Apply governance and operational excellence to ML projects Who this book is forThis book is for data scientists and machine learning engineers who are looking to become well-versed with Amazon SageMaker Studio and gain hands-on machine learning experience to handle every step in the ML lifecycle, including building data as well as training and hosting models. Although basic knowledge of machine learning and data science is necessary, no previous knowledge of SageMaker Studio and cloud experience is required.

Make the most of Salesforce Marketing Cloud through automation and increase your productivity on the platform without adding any extra resources Key Features Increase your knowledge of automation theory and the applications of SFMC Explore automation with SFMC and its capabilities beyond general usage Understand the automation features and integrations of SFMC to use the platform from outside the user interface (UI) for maximum efficiency Book DescriptionSalesforce Marketing Cloud (SFMC) allows you to use multiple channels and tools to create a 1:1 marketing experience for your customers and subscribers. Through automation and helper tasks, you can greatly increase your productivity while also reducing the level of effort required in terms of volume and frequency. Automating Salesforce Marketing Cloud starts by discussing what automation is generally and then progresses to what automation is in SFMC. After that, you'll focus on how to perform automation inside of SFMC all the way to fully running processes and capabilities from an external service. Later chapters explore the benefits and capabilities of automation and having an automation mindset both within and outside of SFMC. Equipped with this knowledge and example code, you'll be prepared to maximize your SFMC efficiency. By the end of this Salesforce book, you'll have the skills you need to build automation both inside and outside of SFMC, along with the knowledge for using the platform optimally. What you will learn Understand automation to make the most of the SFMC platform Optimize ETL activities, data import integrations, data segmentations, email sends, and more Explore different ways to use scripting and API calls to increase Automation Studio efficiency Identify opportunities for automation with custom integrations and third-party solutions Optimize usage of SFMC by building on the core concepts of custom integrations and third-party tools Maximize utilization of employee skills and capabilities and reduce operational costs while increasing output Who this book is forThis book is for Salesforce Marketing Cloud users who want to know how to make their day to day lives more efficient and get the most out of the tool by working smarter, not harder. A solid understanding of SFMC and basic knowledge of what automation is will help you get the most out of this book.

Learn how to use Power BI to deliver the insights needed to help your enterprise survive and thrive Key Features Learn simple through to advanced Power BI features in a clear, concise way using real-world examples Develop powerful analytical models and reports that extract key business insights Publish, share and collaborate on impressive reports, dashboards, apps, and goals Book DescriptionTo succeed in today's transforming business world, organizations need business intelligence capabilities to make smarter decisions faster than ever before. This updated second edition of Learn Power BI takes you on a journey of data exploration and discovery, using Microsoft Power BI to ingest, cleanse, and organize data in order to unlock key business insights that can then be shared with others. This newly revised and expanded edition of Learn Power BI covers all of the latest features and interface changes and takes you through the fundamentals of business intelligence projects, how to deploy, adopt, and govern Power BI within your organization, and how to leverage your knowledge in the marketplace and broader ecosystem that is Power BI. As you progress, you will learn how to ingest, cleanse, and transform your data into stunning visualizations, reports, and dashboards that speak to business decision-makers. By the end of this Power BI book, you will be fully prepared to be the data analysis hero of your organization - or even start a new career as a business intelligence professional. What you will learn Get up and running quickly with Power BI Understand and plan your business intelligence projects Connect to and transform data using Power Query Create data models optimized for analysis and reporting Perform simple and complex DAX calculations to enhance analysis Discover business insights and create professional reports Collaborate via Power BI dashboards, apps, goals, and scorecards Deploy and govern Power BI, including using deployment pipelines Who this book is forIf you're an IT manager, data analyst, or BI user new to using Power BI for solving business intelligence problems, this book is for you. You'll also find this book helpful if you want to migrate from other BI tools to create powerful and interactive dashboards. No experience of working with Power BI is expected.

Become a proficient Odoo developer and increase your productivity while building Odoo business applications Key Features Set up the Odoo development environment and learn how to test and debug your code Use the ORM framework to work with data and implement business logic supporting business rules Design user interfaces, web pages, and business reports using the Odoo framework's web components Book DescriptionOdoo is fast becoming the reference open source platform for business applications thanks to the fact that it provides the infrastructure needed for developers to deliver software solutions for any business process quickly. Odoo's layered module approach makes it particularly effective for combining and extending features. This updated fifth edition is a tutorial-style introduction to essential Odoo development topics. The book starts by covering the development essentials for building business applications and takes you through Odoo installation and configuration, gradually transitioning from having no specific knowledge of Odoo to being ready for application development. You'll then learn how to develop your first Odoo application, while covering topics such as models and views. Later chapters will get you up to speed with using server APIs to add business logic, helping you lay a solid foundation for advanced topics. As you progress, you'll get equipped to build and customize your applications and explore the new features available in Odoo 12 and beyond, such as in-memory ORM and computed writable fields. Finally, you'll gain insights into building business logic and using the Odoo API to integrate with various applications. By the end of this book, you'll be able to build business apps from scratch using the latest version of Odoo. What you will learn Install Odoo from source and organize the development environment Create your first Odoo app from scratch Understand the application components available in Odoo Structure the application's data model using ORM features Use the ORM API to implement the business logic layer Design a graphical user interface (GUI) for the web client and website Use the Odoo External API to interface with external systems Deploy and maintain your application in production environments Who this book is forThis book is for developers who want to learn Odoo application development and quickly become productive while creating business applications. Teachers, trainers, and Odoo team managers will also find the book useful for helping their students or trainees to learn Odoo development skills. Basic knowledge of Python programming is required to get started with the book

Transform your app ideas into fully functional prototypes with the help of expert tips and best practices from Mendix partners Key Features Meet the ever-increasing demand for software solution delivery without having to write any code Build high-availability, low-cost applications unlike those developed via a traditional software engineering approach Explore Mendix from product design through to delivery using real-world scenarios Book DescriptionLow-code is a visual approach to application development. It enables developers of varying experience levels to create web and mobile apps using drag-and-drop components and model-driven logic through a graphic user interface. Mendix is among the fastest-growing platforms that enable low-code enthusiasts to put their software ideas into practice without having to write much code, and Building Low-Code Applications with Mendix will help you get up and running with the process using examples and practice projects. The book starts with an introduction to Mendix, along with the reasons for using this platform and its tools for creating your first app. As you progress, you'll explore Mendix Studio Pro, the visual environment that will help you learn Mendix app creation. Once you have your working app ready, you'll understand how to enhance it with custom business logic and rules. Next, you'll find out how to defend your app against bad data, troubleshoot and debug it, and finally, connect it with real-world business platforms. You'll build practical skills as the book is filled with examples, real-world scenarios, and explanations of the tools needed to help you build low-code apps successfully. By the end of this book, you'll have understood the concept of low-code development, learned how to use Mendix effectively, and developed a working app. What you will learn Gain a clear understanding of what low-code development is and the factors driving its adoption Become familiar with the various features of Mendix for rapid application development Discover concrete use cases of Studio Pro Build a fully functioning web application that meets your business requirements Get to grips with Mendix fundamentals to prepare for the Mendix certification exam Understand the key concepts of app development such as data management, APIs, troubleshooting, and debugging Who this book is forThis book is for tech-savvy business analysts and citizen developers who want to get started with Mendix for rapid mobile and web application development. The book is also helpful for seasoned developers looking to learn a new tool/platform and for anyone passionate about designing technical solutions without wanting to indulge in the complexities of writing code. The book assumes beginner-level knowledge of object-oriented programming and the ability to translate technical solutions from business requirements.

The ultimate guide to becoming proficient in Azure Bicep while having a better development experience and making your Infrastructure as Code seamless and error free Key Features Learn Azure Bicep from an official Microsoft trainer Master the authoring experience to make your Infrastructure as Code journey seamless Go beyond writing good templates with the help of advanced tips and tricks Book DescriptionIt's no secret that developers don't like using JSON files to declare their resources in Azure because of issues such as parameter duplication and not being able to use comments in templates. Azure Bicep helps resolve these issues, and this book will guide you, as a developer or DevOps engineer, to get the most out of the Bicep language. The book takes you on a journey from understanding Azure Resource Manager (ARM) templates and what their drawbacks are to how you can use Bicep to overcome them. You will get familiar with tools such as Visual Studio Code, the Bicep extension, the Azure CLI, PowerShell, Azure DevOps, and GitHub for writing reusable, maintainable templates. After that, you'll test the templates and deploy them to an Azure environment either from your own system or via a continuous integration and continuous delivery (CI/CD) pipeline. The book features a detailed overview of all the Bicep features, when to use what, and how to write great templates that fit well into your existing pipelines or in a new one. The chapters progress from easy to advanced topics and every effort has been put into making them easy to follow with examples, all of which are accessible via GitHub. By the end of this book, you'll have developed a solid understanding of Azure Bicep and will be able to create, test, and deploy your resources locally or in your CI/CD pipelines. What you will learn Get started with Azure Bicep and install the necessary tools Understand the details of how to define resources with Bicep Use modules to create templates for different teams in your company Optimize templates using expressions, conditions, and loops Make customizable templates using parameters, variables, and functions Deploy templates locally or from Azure DevOps or GitHub Stay on top of your IaC with best practices and industry standards Who this book is forThis book is for cloud engineers, developers, and DevOps engineers who are responsible for writing templates to deploy resources in Microsoft Azure and contributing to CI/CD pipelines. Professionals who want to get started with DevOps and Infrastructure as Code when it comes to working with Microsoft Azure will also benefit from reading this book. Readers are expected to have a basic understanding of CI/CD concepts, must have worked with ARM templates to deploy resources to Azure, and must have used or be familiar with Azure DevOps or GitHub Actions for their CI/CD pipelines.

All scheduling software is difficult to learn for a number of reasons. None have the optimal settings when installed and Layouts, User Preferences and default options need to be adjusted to obtain the best possible performance. Usually the Help files do not connect the user to real life situations and do not explain the practical use of functions. Furthermore, there are many flicks and switches with obscure names that are difficult to understand or decide what they do or which are important. These issues make learning the software very difficult without a comprehensive guide written by an experienced user. Investing in a book written by Paul E Harris will address all these issues and allow you to setup the software properly and understand all the obscure functions letting you become productive more quickly and enhance your career opportunities and salary with a solid understanding of the software. This book is an update of the author's Primavera P6 Version 8 to 20 book and the workshops have been updated so they start in the future. The book has been written so it may be used with any software industry version. The book is packed with screen shots, constructive tips and contains workshops with solutions at the end of each chapter for the reader to practice the skills taught. It has been written so it may be used with either the Professional Project Management Client version or the Enterprise Project Portfolio Management Optional Client. The book is aimed at: 1. People who wish learn the software but are unable to attend a training course and find the software reference manual hard going. 2. Project management companies who wish to run their own software training courses or provide their employees with an alternative text to the vendor supplied user manual. 3. Training organizations requiring a training manual to run their own training courses. The book is designed to teach planners and schedulers in any industry how to setup and use the software in a project environment. It explains in plain English and in a logical sequence, the steps required to create and maintain an unresourced and resourced schedule. It tackles some of the more complex aspects of the software that the user manual does not address. It highlights the sources of information and the methods that should be employed to produce a realistic and useful project schedule. The book provides advice on how on how the many software options may be applied to projects environments and it aims to teach readers how to plan and control projects created within the software package and stays focused on explaining how to use Primavera to schedule projects by: 1. Concentrating on the core functions required to set up an enterprise environment and how to plan and control projects. 2. Providing command lists at the start of each chapter as a quick reference. 3. Providing a comprehensive table of contents and index of all topics. The book is intended to be used: 1. As a self-teach book, or 2. A user guide, or 3. A training manual for a three-day training course, instructor PowerPoint slide shows are available from the author. This book is written by an experienced scheduler, who has used the software at the sharp end of projects and is not a techo. It draws on the author's practical experience in using the software in a wide variety of industries. It presents workable solutions to real day to day planning and scheduling problems and contains practical advice on how to set up the software and import data.

Discover best practices to create simple, robust, and scalable software solutions quickly and securely, and focus on what's important - the business and the end customer Key Features Discover strategies and tips for low-code and no-code development with the help of useful examples in this full-color guide Build enterprise-scale reactive web and mobile applications Explore the benefits of low-code development Book DescriptionOutSystems is a software development platform that speeds up the build phase by abstracting code and making almost everything visual. This means replacing textual language with visual artifacts that avoid lexical errors and speed up code composition using accelerators and predefined templates. The book begins by walking you through the fundamentals of the technology, along with a general overview of end-to-end web and mobile software development. You'll learn how to configure your personal area in the cloud and use the OutSystems IDE to connect with it. The book then shows you how to build a web application based on the best architectural and developmental practices in the market, and takes the same approach for the mobile paradigm. As you advance, you'll find out how to develop the same application, and the great potential of reusing code from one paradigm in another and the symbiosis between them is showcased.The only application that'll differ from the application in the exercise is the one used in business process technology (BPT), with a focus on a common market use case. By the end of this OutSystems book, you'll be able to develop enterprise-level applications on the web and mobile, integrating them with third parties and other systems on the market. You'll also understand the concepts of performance, security, and software construction and be able to apply them effectively. What you will learn Get to grips with the OutSystems infrastructure Develop reactive web and mobile applications in OutSystems using best practices in Service Studio Define and design Architecture Canvas (3-Layer Canvas) for your applications Integrate with external systems in OutSystems Enhance applications with BPT Manage and monitor your applications in the OutSystems infrastructure Who this book is forThis book is for back-end developers, tech leaders, UX/UI developers, frontend developers, (in general, full-stack developers), tech companies, and enterprises looking to learn how to develop web and mobile software quickly and disruptively by leveraging OutSystems, one of the most low-code platforms in the market. An IT background is not mandatory; however, experience in SQL, JavaScript, HTML, CSS, and C# is required to get started with this book.

This third edition of the popular Mastering QuickBooks (R) is updated for 2022 and now goes above and beyond the topics covered on the QuickBooks Certified User (QBCU) exam. Purchase of the print or Kindle book includes a free eBook in the PDF format. Key Features Learn QuickBooks Online (QBO) from scratch and get confident with best practices Fully revised to include the latest updates to QuickBooks Online Brush up on everything you need to prepare for the QBCU exam Book DescriptionWhether you have bookkeeping experience or not, handling the financial side of your growing business requires expertise. With Mastering QuickBooks (R) 2022, Third Edition, you'll learn how to use QuickBooks (R) to build the perfect budget, simplify tax return preparation, manage inventory, track job costs, generate income statements and financial reports, and perform all accounting-related tasks with ease. Throughout the book, you'll be guided by an experienced Certified Public Accountant and Advanced Certified QuickBooks ProAdvisor - from setup to core features and beyond. This new edition has every chapter revised to cover a range of new features and updates available, including smart invoicing and cash flow projections. You'll learn how to create multilingual invoices, track mileage, work with a cash flow dashboard that helps you with cash forecasting and planning reports, and upload batches of bills and checks. This book will also teach you how to manage sales tax, including how to set up, collect, track, pay, and report sales tax payments. In addition to this, you'll explore how to export reports to Google Sheets, use the custom chart builder, import budgets, and perform smart reporting. By the end of this book, you'll be well-versed with QuickBooks and have the confidence to manage all your bookkeeping tasks with ease. What you will learn Tackle bookkeeping concepts and the typical bookkeeping and financial accounting cycle Discover QBO's new features and what the whole line-up offers Track everything from billable and non-billable time to expenses and profit Generate key financial reports for accounts, customers, jobs, and invoice items Understand the complete QuickBooks payroll process Who this book is forSmall business owners, bookkeepers, and accounting students who want to start using QuickBooks more effectively will all get plenty of practical know-how from this book. While this guide is appropriate for beginners, it can also serve as an exhaustive resource for those with some bookkeeping experience and those studying to become a QuickBooks Certified User.

Build interactive dashboards and storytelling reports at scale with the cloud-native BI tool that integrates embedded analytics and ML-powered insights effortlessly Key Features Explore Amazon QuickSight, manage data sources, and build and share dashboards Learn best practices from an AWS certified big data solutions architect Manage and monitor dashboards using the QuickSight API and other AWS services such as Amazon CloudTrail Book DescriptionAmazon Quicksight is an exciting new visualization that rivals PowerBI and Tableau, bringing several exciting features to the table - but sadly, there aren't many resources out there that can help you learn the ropes. This book seeks to remedy that with the help of an AWS-certified expert who will help you leverage its full capabilities. After learning QuickSight's fundamental concepts and how to configure data sources, you'll be introduced to the main analysis-building functionality of QuickSight to develop visuals and dashboards, and explore how to develop and share interactive dashboards with parameters and on-screen controls. You'll dive into advanced filtering options with URL actions before learning how to set up alerts and scheduled reports. Next, you'll familiarize yourself with the types of insights before getting to grips with adding ML insights such as forecasting capabilities, analyzing time series data, adding narratives, and outlier detection to your dashboards. You'll also explore patterns to automate operations and look closer into the API actions that allow us to control settings. Finally, you'll learn advanced topics such as embedded dashboards and multitenancy. By the end of this book, you'll be well-versed with QuickSight's BI and analytics functionalities that will help you create BI apps with ML capabilities. What you will learn Understand the wider AWS analytics ecosystem and how QuickSight fits within it Set up and configure data sources with Amazon QuickSight Include custom controls and add interactivity to your BI application using parameters Add ML insights such as forecasting, anomaly detection, and narratives Explore patterns to automate operations using QuickSight APIs Create interactive dashboards and storytelling with Amazon QuickSight Design an embedded multi-tenant analytics architecture Focus on data permissions and how to manage Amazon QuickSight operations Who this book is forThis book is for business intelligence (BI) developers and data analysts who are looking to create interactive dashboards using data from Lake House on AWS with Amazon QuickSight. It will also be useful for anyone who wants to learn Amazon QuickSight in depth using practical, up-to-date examples. You will need to be familiar with general data visualization concepts before you get started with this book, however, no prior experience with Amazon QuickSight is required.

Build highly secure and scalable machine learning platforms to support the fast-paced adoption of machine learning solutions Key Features Explore different ML tools and frameworks to solve large-scale machine learning challenges in the cloud Build an efficient data science environment for data exploration, model building, and model training Learn how to implement bias detection, privacy, and explainability in ML model development Book DescriptionWhen equipped with a highly scalable machine learning (ML) platform, organizations can quickly scale the delivery of ML products for faster business value realization. There is a huge demand for skilled ML solutions architects in different industries, and this handbook will help you master the design patterns, architectural considerations, and the latest technology insights you'll need to become one. You'll start by understanding ML fundamentals and how ML can be applied to solve real-world business problems. Once you've explored a few leading problem-solving ML algorithms, this book will help you tackle data management and get the most out of ML libraries such as TensorFlow and PyTorch. Using open source technology such as Kubernetes/Kubeflow to build a data science environment and ML pipelines will be covered next, before moving on to building an enterprise ML architecture using Amazon Web Services (AWS). You'll also learn about security and governance considerations, advanced ML engineering techniques, and how to apply bias detection, explainability, and privacy in ML model development. And finally, you'll get acquainted with AWS AI services and their applications in real-world use cases. By the end of this book, you'll be able to design and build an ML platform to support common use cases and architecture patterns like a true professional. What you will learn Apply ML methodologies to solve business problems Design a practical enterprise ML platform architecture Implement MLOps for ML workflow automation Build an end-to-end data management architecture using AWS Train large-scale ML models and optimize model inference latency Create a business application using an AI service and a custom ML model Use AWS services to detect data and model bias and explain models Who this book is forThis book is for data scientists, data engineers, cloud architects, and machine learning enthusiasts who want to become machine learning solutions architects. You'll need basic knowledge of the Python programming language, AWS, linear algebra, probability, and networking concepts before you get started with this handbook.