Math for Deep LearningDeep learning is everywhere, making this powerful driver of AI something more STEM professionals need to know. Learning which library commands to use is one thing, but to truly understand the discipline, you need to grasp the mathematical concepts that make it tick. This book will give you a working knowledge of topics in probability, statistics, linear algebra, and differential calculus - the essential math needed to make deep learning comprehensible, which is key to practicing it successfully.
Each of the four subfields are contextualized with Python code and hands-on, real-world examples that bridge the gap between pure mathematics and its applications in deep learning. Chapters build upon one another, with foundational topics such as Bayes' theorem followed by more advanced concepts, like training neural networks using vectors, matrices, and derivatives of functions. You'll ultimately put all this math to use as you explore and implement deep learning algorithms, including backp ...
Practical Linux ForensicsPractical Linux Forensics dives into the technical details of analyzing postmortem forensic images of Linux systems that have been misused, abused, or the target of malicious attacks. This essential practitioner's guide will show you how to locate and interpret digital evidence found on Linux desktops, servers, and IoT devices, draw logical conclusions, and reconstruct timelines of past activity after a crime or security incident. It's a book written for investigators with varying levels of Linux experience, and the techniques shown are independent of the forensic analysis platform and tools used.
Early chapters provide an overview of digital forensics as well as an introduction to the Linux operating system and popular distributions. From there, the book describes the analysis of storage, filesystems, files and directories, installed software packages, and logs. Special focus is given to examining human user activity such as logins, desktop environments and artifacts, home director ...
MLOps Engineering at ScaleMLOps Engineering at Scale shows you how to put machine learning into production efficiently by using pre-built services from AWS and other cloud vendors. You'll learn how to rapidly create flexible and scalable machine learning systems without laboring over time-consuming operational tasks or taking on the costly overhead of physical hardware. Following a real-world use case for calculating taxi fares, you will engineer an MLOps pipeline for a PyTorch model using AWS server-less capabilities.
A production-ready machine learning system includes efficient data pipelines, integrated monitoring, and means to scale up and down based on demand. Using cloud-based services to implement ML infrastructure reduces development time and lowers hosting costs. Serverless MLOps eliminates the need to build and maintain custom infrastructure, so you can concentrate on your data, models, and algorithms.
MLOps Engineering at Scale teaches you how to implement efficient machine learning systems usi ...
C# 10 Pocket ReferenceLooking for quick answers for using C# 10? This tightly focused and practical guide tells you exactly what you need to know without long intros or bloated samples. Succinct and easy to browse, this pocket reference is an ideal quick source of information. If you know Java, C++, or an earlier C# version, this guide will help you get rapidly up to speed.
All programs and code snippets are available as interactive samples in LINQPad. You can edit these samples and instantly see the results without needing to set up projects in Visual Studio. Written by the authors of C# 9.0 in a Nutshell, this pocket reference covers:
C# fundamentals and features new to C# 10; Advanced topics like operator overloading, type constraints, nullable types, operator lifting, closures, patterns, and asynchronous functions; LINQ: sequences, lazy execution, standard query operators, and query expressions; Unsafe code and pointers, custom attributes, preprocessor directives, and XML documentation. ...
Practical Fraud PreventionOver the past two decades, the booming ecommerce and fintech industries have become a breeding ground for fraud. Organizations that conduct business online are constantly engaged in a cat-and-mouse game with these invaders. In this practical book, Gilit Saporta and Shoshana Maraney draw on their fraud-fighting experience to provide best practices, methodologies, and tools to help you detect and prevent fraud and other malicious activities.
Data scientists, data analysts, and fraud analysts will learn how to identify and quickly respond to attacks. You'll get a comprehensive view of typical incursions as well as recommended detection methods. Online fraud is constantly evolving. This book helps experienced researchers safely guide and protect their organizations in this ever-changing fraud landscape.
With this book, you will: Examine current fraud attacks and learn how to mitigate them; Find the right balance between preventing fraud and providing a smooth customer experience; Sha ...
Cloud Native Infrastructure with AzureThe cloud is becoming the de facto home for companies ranging from enterprises to startups. Moving to the cloud means moving your applications from monolith to microservices. But once you do, running and maintaining these services brings its own level of complexity. The answer? Modularity, deployability, observability, and self-healing capacity through cloud native development.
With this practical book, Nishant Singh and Michael Kehoe show you how to build a true cloud native infrastructure using Microsoft Azure or another cloud computing solution by following guidelines from the Cloud Native Computing Foundation (CNCF). DevOps and site reliability engineers will learn how adapting applications to cloud native early in the design phase helps you fully utilize the elasticity and distributed nature of the cloud.
This book helps you explore: Why go cloud native? How to use infrastructure as code; What it takes to containerize an application; Why and how Kubernetes is the "grand orch ...
Command-Line RustFor several consecutive years, Rust has been voted "most loved programming language" in Stack Overflow's annual developer survey. This open source systems programming language is now used for everything from game engines and operating systems to browser components and virtual reality simulation engines. But Rust is also an incredibly complex language with a notoriously difficult learning curve.
Rather than focusing on the language as a whole, this guide teaches Rust using a single small, complete, focused program in each chapter. Author Ken Youens-Clark shows you how to start, write, and test each of these programs to create a finished product. You'll learn how to handle errors in Rust, read and write files, and use regular expressions, Rust types, structs, and more.
Discover how to: Use Rust's standard libraries and data types such as numbers, strings, vectors, structs, Options, and Results to create command-line programs; Write and test Rust programs and functions; Read and wri ...
Kubernetes Native DevelopmentBuilding applications for Kubernetes is both a challenge and an opportunity - a challenge because the options and complexity to develop for Kubernetes are evolving rapidly, an opportunity because, if done right, your applications will go into production quicker, scale easier, and run smoother.
This book outlines the impact of Containers and Kubernetes on modern software development and discusses the application frameworks to pick from, how to design an application, and how to develop for and on Kubernetes. You are guided through the application life cycle: development, build, and deployment into the runtime phase. In each phase, you see how it ties to Kubernetes and how to leverage its manifold capabilities. Applications will be more lightweight, easier to maintain, and simpler to operate by just focusing on the business logic.
This book provides a strong technical foundation in modern software development and operations. Practical examples show you how to apply the concepts and ...
Pro GoBest-selling author Adam Freeman explains how to get the most from Go, starting from the basics and building up to the most advanced and sophisticated features. You will learn how Go builds on a simple and consistent type system to create a comprehensive and productive development experience that produces fast and robust applications that run across platforms.
Go, also known as Golang, is the concise and efficient programming language designed by Google for creating high-performance, cross-platform applications. Go combines strong static types with simple syntax and a comprehensive standard library to increase programmer productivity, while still supporting features such as concurrent/parallel programming.
Each topic is covered in a clear, concise, no-nonsense approach that is packed with the details you need to learn to be truly effective. Chapters include common problems and how to avoid them. ...
Microsoft Excel VBA and MacrosUse this guide to automate virtually any routine Excel task: save yourself hours, days, maybe even weeks. Make Excel do things you thought were impossible, discover macro techniques you wont find anywhere else, and create automated reports that are amazingly powerful. Bill Jelen and Tracy Syrstad help you instantly visualize information to make it actionable; capture data from anywhere, and use it anywhere; and automate the best new features in Microsoft Excel. Youll find simple, step-by-step instructions, real-world case studies, and 50 workbooks packed with examples and complete, easy-to-adapt solutions.
By reading this book, you will: Quickly master Excel macro development; Work more efficiently with ranges, cells, and formulas; Generate automated reports and quickly adapt them for new requirements; Learn to automate PivotTables to summarize, analyze, explore, and present data; Leverage more of Excel VBAs power with classes, collections, and Advanced Filter; Make the most of User ...