Search results for ""manning publications""
Manning Publications Experimentation for Engineers
Optimise the performance of your systems with practical experiments used by engineers in the world's most competitive industries. Experimentation for Engineers: From A/B testing to Bayesian optimization is a toolbox of techniques for evaluating new features and fine-tuning parameters. You will start with a deep dive into methods like A/B testing and then graduate to advanced techniques used to measure performance in industries such as finance and social media. You will learn how to: Design, run, and analyse an A/B test Break the "feedback loops" caused by periodic retraining of ML models Increase experimentation rate with multi-armed bandits Tune multiple parameters experimentally with Bayesian optimisation Clearly define business metrics used for decision-making Identify and avoid the common pitfalls of experimentation By the time you're done, you will be able to seamlessly deploy experiments in production, whilst avoiding common pitfalls. About the technology Does my software really work? Did my changes make things better or worse? Should I trade features for performance? Experimentation is the only way to answer questions like these. This unique book reveals sophisticated experimentation practices developed and proven in the world's most competitive industries and will help you enhance machine learning systems, software applications, and quantitative trading solutions.
£45.99
Manning Publications Art of Unit Testing, The
The Art of Unit Testing, Third Edition updates an international bestseller to reflect modern development tools and practices. This expanded edition teaches you to write unit tests for async and observable code, as well as methods of faking functions, modules and refactorings. You'll explore test patterns and organization, working with legacy code, and even "untestable" code. The many tool-agnostic examples are presented in JavaScript, and are carefully designed so that they apply to code written in any language. about the technology Unit testing is a universally-adopted practice on dev teams of all sizes. Great developers will tell you that testing is as much a state of mind as a collection of tools and practices. The Art of Unit Testing, Third Edition takes you below the surface and understand how unit testing can transform the way you deliver and maintain software. Now with examples in JavaScript, this new edition has been updated to reflect the characteristics of a modern codebase, including async and modularized, distributed services. The practices and patterns you'll learn can also be easily applied to other languages, including C#, Java, and Python. about the book The Art of Unit Testing, Third Edition guides you step by step from your first simple unit tests to building complete test sets that are maintainable, readable, and trustworthy. Now with examples using JavaScript and Node, this expanded third edition teaches you to write unit tests for async and observable code, as well as methods of faking functions, modules and refactorings. You'll get to grips with complex subjects such as mocks and stubs, explore how to handle tricky legacy codebases, and save yourself time with tests that function for both frontend and backend applications. The Art of Unit Testing, Third Edition is an essential guide for any unit tester who wants to feel confident writing code that's easier to create, maintain, and adapt.
£38.99
Manning Publications Learn PowerShell in a Month of Lunches: Covers Windows, Linux, and macOS
"Not only for MacOS and Linux users, but also a great resource for Windows PS users." - Bruce Bergman Learn PowerShell in a Month of Lunches: Covers Windows, Linux, and macOS is a task-focused tutorial for administering Linux and macOS systems using Microsoft PowerShell. Adapted by PowerShell team members Travis Plunk and Tyler Leonhardt from the bestselling Learn Windows PowerShell in a Month of Lunches by community legends Don Jones and Jeffrey Hicks, it features Linux-based examples covering core language features and admin tasks. Designed for busy IT professionals, this innovative guide will take you from the basics to PowerShell proficiency through 25 tutorials you can do in your lunch break. about the technologyThe PowerShell scripting language and administrative shell was initially created for Windows, providing a high-quality command-line interface and awesome automation features. As part of Microsoft's ongoing strategy to support non-Windows platforms with its Azure cloud service and .NET Core framework, PowerShell now runs on Linux and macOS. Like Bash, PowerShell can execute and script nearly any aspect of Linux, so you can easily manage repetitive daily tasks, servers, Cloud resources, Continuous Integration pipelines, and more. Because PowerShell is a full-featured programming language, however, it provides capability well beyond traditional shell scripting languages, such as the ability to treat OS components as objects. about the bookLearn PowerShell in a Month of Lunches: Covers Windows, Linux, and macOS is a user-friendly tutorial to managing Linux and macOS systems with PowerShell. It's based on the bestselling Learn Windows PowerShell in a Month of Lunches, which has introduced PowerShell to nearly 100,000 readers. You'll learn how PowerShell shapes up to Bash or Python scripting as you write and run simple scripts that automate boring daily tasks. As you progress through the book, you'll use PowerShell to write Continuous Integration Pipelines and manage cloud-based servers. Just set aside one hour a day for a month, and you'll be automating tasks faster than you ever thought possible! what's inside- Why you should use PowerShell on Linux and macOS- Background jobs and automation techniques- Simple scripting to automate repetitive daily tasks- Common syntax and commands cheat sheet- Each lesson takes you an hour or less about the readerFor IT professionals comfortable administering Windows or Linux. No previous experience with PowerShell or Bash required. about the authorTravis Plunk has been a Software Engineer on various PowerShell teams since 2013, and at Microsoft since 1999. He was involved in open sourcing PowerShell and has worked on the project full time since shortly after the project was announced. James Petty is a Microsoft MVP, and the CEO and Executive Director for the DevOps Collective and PowerShell.org. Tyler Leonhardt has been a Software Engineer on the PowerShell team since 2017, and at Microsoft since 2016. He is a core maintainer of the PowerShell extension for Visual Studio Code. Learn Windows PowerShell in a Month of Lunches was written by PowerShell community legends Don Jones and Jeffrey Hicks, who have years of experience as successful PowerShell trainers.
£31.99
Manning Publications Object Design Style Guide
Object Design Style Guide captures dozens of techniques for creating pro-quality OO code that can stand the test of time. Examples are in an instantly-familiar pseudocode, teaching techniques you can apply to any OO language, from C++ to PHP. The design rules for different types of objectsBest practices for naming objectsTesting an object’s behavior instead of its implementationExercises for each chapter to test your design skills
£29.99
Manning Publications Art of Network Penetration Testing, The: Free practice environment
For system administrators, network professionals, beginning pentesters, and security consultants. The Art of Network Penetration Testing is a hands-on guide to running your own penetration test on an enterprise network. After setting up a virtual environment to use as your lab, you’ll work step-by-step through every stage of a professional pentest, from information gathering to seizing control of a vulnerable system. You’ll learn a repeatable process you can use to identify valuable targets within a typical enterprise environment, perform controlled exploitation of critical security weaknesses, elevate network level privileges, and pivot laterally through the network. Finally, you’ll learn how to write up your findings in a clear and actionable report, to ensure a system can be protected against the weaknesses you’ve identified. Set up a virtual pentest lab using Ubuntu Linux Identify internal weaknesses on compromised systems Exploit network vulnerabilities to compromise Windows and Linux Establish persistent re-entry back into compromised targets Elevate your privileges to become a domain administrator Penetration testing, also called pentesting, is about more than just getting through a perimeter firewall. The biggest security threats are inside the network, where attackers can rampage through sensitive data by exploiting weak access controls and poorly patched software. Designed for up-and-coming security professionals, The Art of Network Penetration Testing teaches you how to take over an enterprise network from the inside. It lays out every stage of an internal security assessment step-by-step, showing you how to identify weaknesses before a malicious invader can do real damage. Packed with valuable personal and financial data, business computer systems are attractive targets to cyber criminals. As a penetration tester, your job is to attack an organization’s IT applications and infrastructure to find the vulnerabilities a real intruder would exploit. Master pentesters need the skill to identify internal security flaws that would allow a bad actor to compromise file systems, email, databases, and other core components of a modern connected enterprise.
£44.89
Manning Publications Deep Learning with Python
"The first edition of Deep Learning with Python is one of the best books on the subject. The second edition made it even better." - Todd Cook The bestseller revised! Deep Learning with Python, Second Edition is a comprehensive introduction to the field of deep learning using Python and the powerful Keras library. Written by Google AI researcher François Chollet, the creator of Keras, this revised edition has been updated with new chapters, new tools, and cutting-edge techniques drawn from the latest research. You'll build your understanding through practical examples and intuitive explanations that make the complexities of deep learning accessible and understandable. about the technologyMachine learning has made remarkable progress in recent years. We've gone from near-unusable speech recognition, to near-human accuracy. From machines that couldn't beat a serious Go player, to defeating a world champion. Medical imaging diagnostics, weather forecasting, and natural language question answering have suddenly become tractable problems. Behind this progress is deep learning—a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications across every industry sector about the bookDeep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. You'll learn directly from the creator of Keras, François Chollet, building your understanding through intuitive explanations and practical examples. Updated from the original bestseller with over 50% new content, this second edition includes new chapters, cutting-edge innovations, and coverage of the very latest deep learning tools. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects. what's insideDeep learning from first principlesImage-classification, imagine segmentation, and object detectionDeep learning for natural language processingTimeseries forecastingNeural style transfer, text generation, and image generation about the readerReaders need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required. about the authorFrançois Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does AI research, with a focus on abstraction and reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning Representations (ICLR), and others.
£43.19
Manning Publications Zero to AI
Summary How can artificial intelligence transform your business? In Zero to AI, you’ll explore a variety of practical AI applications you can use to improve customer experiences, optimize marketing, help you cut costs, and more. In this engaging guide written for business leaders and technology pros alike, authors and AI experts Nicolò Valigi and Gianluca Mauro use fascinating projects, hands-on activities, and real-world explanations to make it clear how your business can benefit from AI. About the technology There’s no doubt that artificial intelligence has made some impressive headlines recently, from besting chess and Go grand masters to producing uncanny deep fakes that blur the lines of reality. But what can AI do for you? If you want to understand how AI will impact your business before you invest your time and money, this book is for you. About the book Zero to AI uses clear examples and jargon-free explanations to show the practical benefits of AI. Each chapter explores a real-world case study demonstrating how companies like Google and Netflix use AI to shape their industries. You begin at the beginning, with a primer on core AI concepts and realistic business outcomes. To help you prepare for the transition, the book breaks down a successful AI implementation, including advice on hiring the right team and making decisions about resources, risks, and costs. What's inside Identifying where AI can help your organization Designing an AI strategy Evaluating project scope and business impact Using AI to boost conversion rates, curate content, and analyze feedback Understanding how modern AI works and what it can/can’t do About the reader For anyone who wants to gain an understanding of practical artificial intelligence and learn how to design and develop projects with high business impact. About the authors Gianluca Mauro and Nicolò Valigi are the cofounders of AI Academy, a company specializing in AI trainings and consulting. Table of Contents: 1. An introduction to artificial intelligence PART 1 - UNDERSTANDING AI 2. Artificial intelligence for core business data 3. AI for sales and marketing 4. AI for media 5. AI for natural language 6. AI for content curation and community building PART 2 - BUILDING AI 7. Ready—finding AI opportunities 8. Set—preparing data, technology, and people 9. Go—AI implementation strategy 10. What lies ahead
£22.00
Manning Publications Classic Computer Science Problems in Python
Classic Computer Science Problems in Python presents dozens of coding challenges, ranging from simple tasks like finding items in a list with a binary sort algorithm to clustering data using k-means. Classic Computer Science Problems in Python deepens your Python language skills by challenging you with time-tested scenarios, exercises, and algorithms. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your "new" problems Key Features · Breadth-first and depth-first search algorithms · Constraints satisfaction problems · Common techniques for graphs · Adversarial Search · Neural networks and genetic algorithms · Written for data engineers and scientists with experience using Python. For readers comfortable with the basics of Python About the technology Python is used everywhere for web applications, data munging, and powerful machine learning applications. Even problems that seem new or unique stand on the shoulders of classic algorithms, coding techniques, and engineering principles. Master these core skills, and you’ll be ready to use Python for AI, data-centric programming, deep learning, and the other challenges you’ll face as you grow your skill as a programmer. David Kopec teaches at Champlain College in Burlington, VT and is the author of Manning’s Classic Computer Science Problemsin Swift.
£29.99
Manning Publications Vert.x in Action: Asynchronous and Reactive Java
Intended for intermediate Java developers familiar with web development, networked services, and enterprise Java frameworks like Spring or Java EE. No prior experience in asynchronous or reactive programming is required. As enterprise applications become larger and more distributed, new architectural approaches like reactive designs, microservices, and event streams are required knowledge. The Vert.x framework provides a mature, rock-solid toolkit for building reactive applications using Java, Kotlin, or Scala. Vert.x in Action teaches you to build responsive, resilient, and scalable JVM applications with Vert.x using well-established reactive design patterns. about the technology Vert.x is a mature framework for building reactive applications on the JVM. Designed to handle asynchronous communication effortlessly, Vert.x permits the fewest number of concurrent threads possible. As a result, you automatically get increased scalability, resource efficiency, and dependability, which are big wins for any distributed system. Vert.x’s modular design lends itself perfectly to data processing, IoT gateways, web apps, gaming backends, and more. Vert.x supports all major JVM languages and asynchronous programming models including callbacks, promises, Scala futures, and Kotlin futures. Hosted by the Eclipse foundation and now in its third major release, Vert.x boasts over seven years of field-tested performance. In addition, Vert.x has been integrated into the Red Hat OpenShift platform as a rapid development tool for cloud native reactive applications. about the book Vert.x in Action teaches you to build highly-scalable reactive enterprise applications. In this practical developer’s guide, Vert.x expert Julien Ponge gets you up to speed in the basics of asynchronous programming as you learn to design and code reactive applications. Using the Vert.x asynchronous APIs, you’ll build services including web stack, messaging, authentication, and access control. You’ll also dive into deployment of container-native components with Docker, Kubernetes, and OpenShift. Along the way, you’ll check your app’s health and learn to test its resilience to external service failures. As a member of the Vert.x core team, Julien Ponge has up-close-and-personal experience you can trust. The lessons and examples in this book center on principles that will easily transfer to other reactive technologies, empowering you to apply what you learn using Vert.x or the reactive tech of your choice. With the rising tide of microservices and distributed systems, reactive programming is flowing into the mainstream. With Vert.x in Action, you’ll be sailing smoothly! An introduction to asynchronous programming and reactive systems Building reactive services Responding to external service failures Horizontal scaling Deploying with Docker, Kubernetes, and OpenShift
£39.99
Manning Publications HTTP/2 in Action
HTTP/2 introduces request multiplexing and request prioritization, which allows the web to handle the ever-increasing traffic that makes up modern websites. HTTP/2 in Action is a complete guide to HTTP/2, one of the core protocols of the web. Concentrating practical matters, this interesting book presents key HTTP/2 concepts such as frames, streams, and multiplexing and explores how they affect the performance and behaviour of your web sites. Key Features · Upgrading to HTTP/2 · Frames, streams, and multiplexing · Implementing server push Audience Written for developers or website administrators with a basic understanding of web development. Some chapters use JavaScriptbased examples but the techniques should apply to any HTTP/2 implementation. Author Bio Barry Pollard is a professional software developer with nearly two decades of industry experience developing and supporting software and infrastructure. He has a keen interest in web technologies, performance tuning, security, and the practical usage of technology.
£39.99
Manning Publications Graph-Powered Machine Learning
At its core, machine learning is about efficiently identifying patterns and relationships in data. Many tasks, such as finding associations among terms so you can make accurate search recommendations or locating individuals within a social network who have similar interests, are naturally expressed as graphs. Graph-Powered Machine Learning introduces you to graph technology concepts, highlighting the role of graphs in machine learning and big data platforms. You’ll get an in-depth look at techniques including data source modeling, algorithm design, link analysis, classification, and clustering. As you master the core concepts, you’ll explore three end-to-end projects that illustrate architectures, best design practices, optimization approaches, and common pitfalls. Key Features · The lifecycle of a machine learning project · Three end-to-end applications · Graphs in big data platforms · Data source modeling · Natural language processing, recommendations, and relevant search · Optimization methods Readers comfortable with machine learning basics. About the technology By organizing and analyzing your data as graphs, your applications work more fluidly with graph-centric algorithms like nearest neighbor or page rank where it’s important to quickly identify and exploit relevant relationships. Modern graph data stores, like Neo4j or Amazon Neptune, are readily available tools that support graph-powered machine learning. Alessandro Negro is a Chief Scientist at GraphAware. With extensive experience in software development, software architecture, and data management, he has been a speaker at many conferences, such as Java One, Oracle Open World, and Graph Connect. He holds a Ph.D. in Computer Science and has authored several publications on graph-based machine learning.
£47.99
Manning Publications Dependency Injection in .NET Core
Description Dependency Injection has become one of the most dominant practices in the past decade, and it's now required knowledge for .NET developers. Dependency Injection in .NET, Second Edition teaches readers to use Dependency Injection to reduce hard-coded dependencies between application components. Readers will dive into thoroughly-explained examples and develop a foundation they can apply to any of the many DI libraries for .NET and .NET Core. Key Features · Integration with common .NET application frameworks · DI patterns and anti-patterns · Aspect-oriented programming · Using Microsoft and open source DI libraries and containers Audience This book is written for intermediate .NET developers and beyond. No previous experience with DI or DI frameworks is required. About the Technology Dependency Injection is an application design pattern where components are loosely-coupled with the objects or data on which they have a dependency.
£47.99
Manning Publications C++ Concurrency in Action,2E
C++ 11 delivered strong support for multithreaded applications, andthe subsequent C++14 and 17 updates have built on this baseline. C++has better options for concurrency than ever before, which means it'san incredibly powerful option for multicore and parallel applications. This bestseller has been updated and revised to cover all the latestchanges to C++ 14 and 17! C++ Concurrency in Action, SecondEdition teaches readers everything they need to write robust andelegant multithreaded applications in C++17. Along the way, they’lllearn how to navigate the trickier bits of programming for concurrencywhile avoiding the common pitfalls. KEY FEATURES• Completely updated• Hands-on learning• In depth guide Written for C++ programmers who are new to concurrency and otherswho may have written multithreaded code using other languages, APIs,or platforms. ABOUT THE TECHNOLOGYConcurrency in terms of computers is a single system performingmultiple independent activities in parallel, rather than sequentially, orone after the other. AUTHOR BIOAnthony Williams is a UK-based developer and consultant with manyyears' experience in C++. He has been an active member of the BSI C++Standards Panel since 2001, and is the author or co-author of many of theC++ Standards Committee papers that led up to the inclusion of the threadlibrary in the C++11 Standard. He was the maintainer of the Boost Threadlibrary, and is the developer of the just::thread Pro extensions to the C++11thread library from Just Software Solutions Ltd.
£55.99
Manning Publications Quick Python Book, The
This revision of Manning's popular The Quick Python Book offers a clear, crisp introduction to the elegant Python programming language and its famously easy-to-read syntax. After exploring Python's syntax, control flow, and basic data structures, the book shows how to create, test, and deploy full applications and larger code libraries. It addresses established Python features as well as the advanced object-oriented options available in Python 3. This edition covers 5 years’ worth of minor updates to the language, and the last 5 chapters have been reworked to be data based project work. Key features: · Clear introduction · Completely up-to-date · Hands-on experience The book is aimed at readers who know programming but for whom the Python language is new. About the Technology: Python is a true cross-platform language. It can be used to develop small applications and rapid prototypes, but scales well to permit development of large programs. It comes with a powerful and easy-to-use graphical user interface (GUI) toolkit, web programming libraries and more. And it’s free!
£29.99
Manning Publications Grokking Deep Learning
Artificial Intelligence is the most exciting technology of the century, and Deep Learning is, quite literally, the “brain” behind the world’s smartest Artificial Intelligence systems out there. Grokking Deep Learning is the perfect place to begin the deep learning journey. Rather than just learning the “black box” API of some library or framework, readers will actually understand how to build these algorithms completely from scratch. Key Features:Build neural networks that can see and understand images Build an A.I. that will learn to defeat you in a classic Atari gameHands-on Learning Written for readers with high school-level math and intermediateprogramming skills. Experience with Calculus is helpful but notrequired. ABOUT THE TECHNOLOGY Deep Learning is a subset of Machine Learning, which is a field dedicated to the study and development of machines that can learn, often with the goal of eventually attaining general artificial intelligence.
£39.99
Manning Publications OCA Java SE 8 Programmer I Certification Guide
DESCRIPTION To earn the OCA Java SE 8 Programmer I Certification, readers need to know Java inside and out, and to pass the exam it's good to understand the test itself. This book cracks open the questions, exercises, and expectations readers will face on the OCA exam so they’ll be ready and confident on test day. OCA Java SE 8 Programmer I Certification Guide prepares readers for the 1Z0-808 with complete coverage of all exam topics. The book explores important Java topics and systematically teaches what's required. Each chapter starts with a list of exam objectives mapped to section numbers, followed by sample questions and exercises designed to reinforce key concepts. It provides multiple ways to digest important techniques and concepts, including memorable analogies, diagrams, and flowcharts as well as lots of well-commented code. Along the way readers will also get the scoop on common mistakes and ways to avoid traps and pitfalls. KEY FEATURES 100% coverage of exam topics Hands-on coding examples and exercises Helps readers avoid exam traps and pitfalls Hundreds of sample questions Crib Sheets AUDIENCE Written for developers with a working knowledge of Java who want to earn the OCA Java SE 8 Programmer I Certification. ABOUT THE TECHNOLOGY The Oracle Certified Associate (OCA) Java SE 8 measures day-to-day programming and the ability to handle typical situations found in a variety of projects.
£47.99
Manning Publications Sails.js in Action
DESCRIPTION Node.js has rapidly become a viable choice for large-scale web applications that previously relied on Java, PHP, or Rails. Sails.js is a modern MVC framework for Node that radically simplifies back-end web development. Sails provides full support for data access, real-time programming with web sockets, enterprise-caliber security, and modern development workflow patterns. It also offers powerful productivity features like rapid API development via Sails blueprints, task automation via node-machines, and easy integration with frontend frameworks like Ember and Angular. Sails.js in Action is a comprehensive guide to building enterprisecapable web applications using Node and Sails. Written by the creators of the Sails.js framework, this book carefully introduces each concept, technique, and tool with real-world examples and crystal-clear explanations. Readers follow perfectly-paced, gap-free instruction as they learn to build the back end of a typical Single Page Web Application. As readers hone skills, they explore advanced features like services, hooks, and file uploads. Along the way, they learn to fully understand Node's asynchronous programming model and the syntax and conventions used to implement it. KEY FEATURES• Real-world examples and crystal-clear explanations • Comprehensive guide to building enterprise level web apps • Learn to build Single Page Web Applications • Teaches concepts and practical techniques AUDIENCE Readers should be comfortable with JavaScript and front-end web development. Perfect for back-end developers making the transition to JavaScript and Node. ABOUT THE TECHNOLOGY Sails.js is a modern MVC framework for Node that radically simplifies back-end web development. Node.js has rapidly become a viable choice for large-scale web applications that previously relied on Java, PHP, or Rails.
£35.99
Manning Publications Streaming Data
DESCRIPTION Many of the technologies discussed in the book—Spark, Storm, Kafka, Impala, RabbitMQ, etc.—are covered individually in other books. Throughout this book, readers will get a clear picture of how these technologies work individually and together, gain insight on how to choose the correct technologies, and discover how to fuse them together to architect a robust system. Streaming Data introduces the concepts and requirements of streaming and real-time data systems. Readers will develop a foundation to understand the challenges and solutions of building in-the-moment data systems before committing to specific technologies. Using lots of diagrams, this book systematically builds up the blueprint for an inthe- moment system concept by concept. This book focuses on the big ideas of streaming and real time data systems rather than the implementation details. KEY FEATURES • Lots of diagrams to explain concepts • Collecting and analyzing data in real time • Uses running examples • Explains how to combine emerging technologies AUDIENCE No experience with streaming or real-time data systems required. Perfect for developers or architects, this book is also written to be accessible to technical managers and business decision makers. Competancy in the Java programming language is recomended. ABOUT THE TECHNOLOGY Applications built to deal with streaming data present fundamentally different challenges than those that work with stored data. For example, live location data paired with a social media profile might allow a vendor to recommend a product or service to a user at just the right instant, and the split-nanosecond reaction of a pacemaker or anti-lock brakes can save lives. Emerging techniques and technologies that enable you to take immediate action on streaming data make it possible to design and build in-the-moment decision systems, dynamic reporting dashboards, live recommendation systems, and other real-time applications.
£39.99
Manning Publications Real-World Machine Learning
DESCRIPTION In a world where big data is the norm and near-real-time decisions are crucial, machine learning (ML) is a critical component of the data workflow. Machine learning systems can quickly crunch massive amounts of information to offer insights and make decisions in a way that matches or even surpasses human cognitive abilities. These systems use sophisticated computational and statistical tools to build models that can recognize and visualize patterns, predict outcomes, forecast values, and make recommendations. Real-World Machine Learning is a practical guide designed to teach developers the art of ML project execution. The book introduces the day-to-day practice of machine learning and prepares readers to successfully build and deploy powerful ML systems. Using the Python language and the R statistical package, it starts with core concepts like data acquisition and modeling, classification, and regression. Then it moves through the most important ML tasks, like model validation, optimization and feature engineering. It uses real-world examples that help readers anticipate and overcome common pitfalls. Along the way, they will discover scalable and online algorithms for large and streaming data sets. Advanced readers will appreciate the in-depth discussion of enhanced ML systems through advanced data exploration and pre-processing methods. KEY FEATURES Accessible and practical introduction to machine learning Contains big-picture ideas and real-world examples Prepares reader to build and deploy powerful predictive systems Offers tips & tricks and highlights common pitfalls AUDIENCE Code examples are in Python and R. No prior machine learning experience required. ABOUT THE TECHNOLOGY Machine learning has gained prominence due to the overwhelming successes of Google, Microsoft, Amazon, LinkedIn, Facebook, and others in their use of ML. The Gartner report predicts that big data analytics will be a $25 billion market by 2017, and financial firms, marketing organizations, scientific facilities, and Silicon Valley startups are all demanding machine learning skills from their developers.
£39.99