Designing Elixir Systems with OTP
You know how to code in Elixir; now learn to think in it. Learn to design libraries with intelligent layers that shape the right data structures, flow from one function into the next, and present the right APIs. Embrace the same OTP that's kept our telephone systems reliable and fast for over 30 years. Move beyond understanding the OTP functions to knowing what's happening under the hood, and why that matters. Using that knowledge, instinctively know how to design systems that deliver fast and resilient services to your users, all with an Elixir focus. Elixir is gaining mindshare as the programming language you can use to keep your software running forever, even in the face of unexpected errors and an ever growing need to use more processors. This power comes from an effective programming language, an excellent foundation for concurrency and its inheritance of a battle-tested framework called the OTP. If you're using frameworks like Phoenix or Nerves, you're already experiencing ...
You know how to code in Elixir; now learn to think in it. Learn to design libraries with intelligent layers that shape the right data structures, flow from one function into the next, and present the right APIs. Embrace the same OTP that's kept our telephone systems reliable and fast for over 30 years. Move beyond understanding the OTP functions to knowing what's happening under the hood, and why that matters. Using that knowledge, instinctively know how to design systems that deliver fast and resilient services to your users, all with an Elixir focus. Elixir is gaining mindshare as the programming language you can use to keep your software running forever, even in the face of unexpected errors and an ever growing need to use more processors. This power comes from an effective programming language, an excellent foundation for concurrency and its inheritance of a battle-tested framework called the OTP. If you're using frameworks like Phoenix or Nerves, you're already experiencing ...
Introducing Machine Learning
Machine learning offers immense opportunities, and Introducing Machine Learning delivers practical knowledge to make the most of them. Dino and Francesco Esposito start with a quick overview of the foundations of artificial intelligence and the basic steps of any machine learning project. Next, they introduce Microsoft's powerful ML.NET library, including capabilities for data processing, training, and evaluation. They present families of algorithms that can be trained to solve real-life problems, as well as deep learning techniques utilizing neural networks. The authors conclude by introducing valuable runtime services available through the Azure cloud platform and consider the long-term business vision for machine learning. 14-time Microsoft MVP Dino Esposito and Francesco Esposito help you; Explore what's known about how humans learn and how intelligent software is built; Discover which problems machine learning can address; Understand the machine learning pipeline: the steps lea ...
Machine learning offers immense opportunities, and Introducing Machine Learning delivers practical knowledge to make the most of them. Dino and Francesco Esposito start with a quick overview of the foundations of artificial intelligence and the basic steps of any machine learning project. Next, they introduce Microsoft's powerful ML.NET library, including capabilities for data processing, training, and evaluation. They present families of algorithms that can be trained to solve real-life problems, as well as deep learning techniques utilizing neural networks. The authors conclude by introducing valuable runtime services available through the Azure cloud platform and consider the long-term business vision for machine learning. 14-time Microsoft MVP Dino Esposito and Francesco Esposito help you; Explore what's known about how humans learn and how intelligent software is built; Discover which problems machine learning can address; Understand the machine learning pipeline: the steps lea ...
MOS Study Guide for Microsoft Excel Expert Exam MO-201
Demonstrate your expert-level competency with Microsoft Excel! Designed to help you practice and prepare for Microsoft Office Specialist: Microsoft Excel Expert (Excel and Excel 2019) certification, this official Study Guide delivers: In-depth preparation for each MOS objective; Detailed procedures to help build the skills measured by the exam; Hands-on tasks to practice what you've learned; Ready-made practice files. Sharpen the skills measured by these objectives: Manage Workbook Options and Settings; Manage and Format Data; Create Advanced Formulas and Macros; Manage Advanced Charts and Tables. ...
Demonstrate your expert-level competency with Microsoft Excel! Designed to help you practice and prepare for Microsoft Office Specialist: Microsoft Excel Expert (Excel and Excel 2019) certification, this official Study Guide delivers: In-depth preparation for each MOS objective; Detailed procedures to help build the skills measured by the exam; Hands-on tasks to practice what you've learned; Ready-made practice files. Sharpen the skills measured by these objectives: Manage Workbook Options and Settings; Manage and Format Data; Create Advanced Formulas and Macros; Manage Advanced Charts and Tables. ...
Microsoft Azure Sentinel
Microsoft's cloud-based Azure Sentinel helps you fully leverage advanced AI to automate threat identification and response - without the complexity and scalability challenges of traditional Security Information and Event Management (SIEM) solutions. Now, three of Microsoft's leading experts review all it can do, and guide you step-by-step through planning, deployment, and daily operations. Leveraging in-the-trenches experience supporting early customers, they cover everything from configuration to data ingestion, rule development to incident management... even proactive threat hunting to disrupt attacks before you're exploited. Three of Microsoft's leading security operations experts show how to: Use Azure Sentinel to respond to today's fast-evolving cybersecurity environment, and leverage the benefits of its cloud-native architecture; Review threat intelligence essentials: attacker motivations, potential targets, and tactics, techniques, and procedures; Explore Azure Sentinel compo ...
Microsoft's cloud-based Azure Sentinel helps you fully leverage advanced AI to automate threat identification and response - without the complexity and scalability challenges of traditional Security Information and Event Management (SIEM) solutions. Now, three of Microsoft's leading experts review all it can do, and guide you step-by-step through planning, deployment, and daily operations. Leveraging in-the-trenches experience supporting early customers, they cover everything from configuration to data ingestion, rule development to incident management... even proactive threat hunting to disrupt attacks before you're exploited. Three of Microsoft's leading security operations experts show how to: Use Azure Sentinel to respond to today's fast-evolving cybersecurity environment, and leverage the benefits of its cloud-native architecture; Review threat intelligence essentials: attacker motivations, potential targets, and tactics, techniques, and procedures; Explore Azure Sentinel compo ...
Building Machine Learning Powered Applications
Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you'll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers - including experienced practitioners and novices alike - will learn the tools, best practices, and challenges involved in building a real-world ML application step by step. Author Emmanuel Ameisen, an experienced data scientist who led an AI education program, demonstrates practical ML concepts using code snippets, illustrations, screenshots, and interviews with industry leaders. Part I teaches you how to plan an ML application and measure success. Part II explains how to build a working ML model. Part III demonstrates ways to improve the model until it fulfills your original vision. Part IV covers deployment and monitoring strategies. This book will help you: Define your product goal and set up ...
Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you'll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers - including experienced practitioners and novices alike - will learn the tools, best practices, and challenges involved in building a real-world ML application step by step. Author Emmanuel Ameisen, an experienced data scientist who led an AI education program, demonstrates practical ML concepts using code snippets, illustrations, screenshots, and interviews with industry leaders. Part I teaches you how to plan an ML application and measure success. Part II explains how to build a working ML model. Part III demonstrates ways to improve the model until it fulfills your original vision. Part IV covers deployment and monitoring strategies. This book will help you: Define your product goal and set up ...
The Customer-Driven Culture: A Microsoft Story
If you're striving to make products and services that your customers will love, then you'll need a customer-driven organization. As companies transform their businesses to meet the demands of the digital age, they find themselves grappling with uniquely human challenges. Organizational knowledge becomes siloed, employees move to safeguard their expertise, and customer data creates polarization and infighting between teams. All of these challenges widen the distance between the people who make your products and the customers who use them. To meet today's challenges, companies need to do more than build processes for customer-driven products. They need to create a customer-driven culture. With the help of his friend and mentor Monty Hammontree, Travis Lowdermilk takes readers through the cultural transformation of the Developer Division at Microsoft. This book shows readers how to "hack" their culture and reduce the distance between them and their customers' needs. It's a uniquely ...
If you're striving to make products and services that your customers will love, then you'll need a customer-driven organization. As companies transform their businesses to meet the demands of the digital age, they find themselves grappling with uniquely human challenges. Organizational knowledge becomes siloed, employees move to safeguard their expertise, and customer data creates polarization and infighting between teams. All of these challenges widen the distance between the people who make your products and the customers who use them. To meet today's challenges, companies need to do more than build processes for customer-driven products. They need to create a customer-driven culture. With the help of his friend and mentor Monty Hammontree, Travis Lowdermilk takes readers through the cultural transformation of the Developer Division at Microsoft. This book shows readers how to "hack" their culture and reduce the distance between them and their customers' needs. It's a uniquely ...
JavaScript Everywhere
JavaScript is the little scripting language that could. Once used chiefly to add interactivity to web browser windows, JavaScript is now a primary building block of powerful and robust applications. In this practical book, new and experienced JavaScript developers will learn how to use this language to create APIs as well as web, mobile, and desktop applications. Author and engineering leader Adam D. Scott covers technologies such as Node.js, GraphQL, React, React Native, and Electron. Ideal for developers who want to build full stack applications and ambitious web development beginners looking to bootstrap a startup, this book shows you how to create a single CRUD-style application that will work across several platforms. Explore GraphQL's simple process for querying data; Learn about shared authentication for APIs, web apps, and native applications; Build performant web applications with React and Styled Components; Use React Native to write cross-platform applications for iOS ...
JavaScript is the little scripting language that could. Once used chiefly to add interactivity to web browser windows, JavaScript is now a primary building block of powerful and robust applications. In this practical book, new and experienced JavaScript developers will learn how to use this language to create APIs as well as web, mobile, and desktop applications. Author and engineering leader Adam D. Scott covers technologies such as Node.js, GraphQL, React, React Native, and Electron. Ideal for developers who want to build full stack applications and ambitious web development beginners looking to bootstrap a startup, this book shows you how to create a single CRUD-style application that will work across several platforms. Explore GraphQL's simple process for querying data; Learn about shared authentication for APIs, web apps, and native applications; Build performant web applications with React and Styled Components; Use React Native to write cross-platform applications for iOS ...
Architecting for Scale, 2nd Edition
Every day, companies struggle to scale critical applications. As traffic volume and data demands increase, these applications become more complicated and brittle, exposing risks and compromising availability. With the popularity of software as a service, scaling has never been more important. Updated with an expanded focus on modern architecture paradigms such as microservices and cloud computing, this practical guide provides techniques for building systems that can handle huge quantities of traffic, data, and demand—without affecting the quality your customers expect. Architects, managers, and directors in engineering and operations organizations will learn how to build applications at scale that run more smoothly and reliably to meet the needs of customers. Learn how scaling affects the availability of your services, why that matters, and how to improve it; Dive into a modern service-based application architecture that ensures high availability and reduces the effects of ser ...
Every day, companies struggle to scale critical applications. As traffic volume and data demands increase, these applications become more complicated and brittle, exposing risks and compromising availability. With the popularity of software as a service, scaling has never been more important. Updated with an expanded focus on modern architecture paradigms such as microservices and cloud computing, this practical guide provides techniques for building systems that can handle huge quantities of traffic, data, and demand—without affecting the quality your customers expect. Architects, managers, and directors in engineering and operations organizations will learn how to build applications at scale that run more smoothly and reliably to meet the needs of customers. Learn how scaling affects the availability of your services, why that matters, and how to improve it; Dive into a modern service-based application architecture that ensures high availability and reduces the effects of ser ...
TinyML
Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size - small enough to run on a microcontroller. With this practical book you'll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices. Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary. Build a speech recognizer, a camera that detects people, and a magic wand that responds to gestures; Work with Arduino and ultra-low-power microcontrollers; Learn the essentials of ML and how to train your own models; Train models to understand audio, image, and accelerometer data; Explore T ...
Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size - small enough to run on a microcontroller. With this practical book you'll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices. Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary. Build a speech recognizer, a camera that detects people, and a magic wand that responds to gestures; Work with Arduino and ultra-low-power microcontrollers; Learn the essentials of ML and how to train your own models; Train models to understand audio, image, and accelerometer data; Explore T ...
Designing Interfaces, 3rd Edition
Designing good application interfaces isn't easy now that companies need to create compelling, seamless user experiences across an exploding number of channels, screens, and contexts. In this updated third edition, you'll learn how to navigate through the maze of design options. By capturing UI best practices as design patterns, this best-selling book provides solutions to common design problems. You'll learn patterns for mobile apps, web applications, and desktop software. Each pattern contains full-color examples and practical design advice you can apply immediately. Experienced designers can use this guide as an idea sourcebook, and novices will find a road map to the world of interface and interaction design. Understand your users before you start designing; Build your software's structure so it makes sense to users; Design components to help users complete tasks on any device; Learn how to promote wayfinding in your software; Place elements to guide users to information and ...
Designing good application interfaces isn't easy now that companies need to create compelling, seamless user experiences across an exploding number of channels, screens, and contexts. In this updated third edition, you'll learn how to navigate through the maze of design options. By capturing UI best practices as design patterns, this best-selling book provides solutions to common design problems. You'll learn patterns for mobile apps, web applications, and desktop software. Each pattern contains full-color examples and practical design advice you can apply immediately. Experienced designers can use this guide as an idea sourcebook, and novices will find a road map to the world of interface and interaction design. Understand your users before you start designing; Build your software's structure so it makes sense to users; Design components to help users complete tasks on any device; Learn how to promote wayfinding in your software; Place elements to guide users to information and ...