Health Benefits of Drinking Lemon Water: 1. Lemons contain a lot of vitamin C that boosts your immune system. 2. Lemon water helps your digestion, flushes out toxins and cleanses the liver. 3. It helps reduce pain in your knees and joints. Read the book for more helpful recipes and information!

Last issue Dr. Green created the first AI system and implanted it into The M.E.C.H Unit. Unfortunately on the robots first mission he commit a crime and was imprisoned for it. Now he must stand trial for his wrong doings, but how can the courts give him a fair trial by a jury of his peers? Don't miss this historic issue. And much more!

This book is a combination of an explanatory dictionary and a thesaurus?- it provides unique vocabulary clarification not only when studying science in English, but also when reading professional texts or writing comprehensive essays in English. You will not need piles of science dictionaries, thesauri or scientific encyclopedias. If you need to look up a proper word, its definition, synonym, antonym, its form in other parts of speech or examples of its use, this book will provide all the answers in one place. More than 1,000 professional vocabulary items in their various forms are contained within 202 entries. You can look up not only words of similar meaning (synonyms) or opposites (antonyms) but also the pronunciation, the word type, the definition of the word, the form in different parts of speech and the most common collocations. Any of the 12,000 words contained in this book can be quickly and easily searched using the magnifying glass icon in any e-book reader application - the app displays all pages of the book where the searched word appears. Additionally, the hamburger icon?provides quick access to the alphabetical list of entries. Using this book is easy, fast and helpful. It will become an essential tool - not only for students but also for any English vocabulary user in the field of science.

Gaismas vēsture?ir biogrāfisks romāns par slaveno ?ehu fotogrāfu Franti?eku Drtikolu. Grāmatas autors Jans ?emecs (Jan Němec, 1981) dzimis Brno, ?ehijā. Strādā par redaktoru ikmēne?a literatūras ?urnālā Host. Masarika universitātē (Brno) mācījies reli?ijas un sociālās zinātnes, savukārt Jana?eka Mūzikas un tēlotājmākslas akadēmijā apguvis dramatur?iju. ?emeca pirmā grāmata “Pirmā dzīve” (První ?ivot) iznāca 2007.gadā. Tai sekoja “Spēlē ?etras rokas” (Hra pro ?ty?i ruce, 2009).? 2013. gadā iznākusī “Gaismas vēsture” (Dějiny světla) ir biogrāfisks romāns par slaveno ?ehu fotogrāfu Franti?eku Drtikolu.? Par ?o romānu autors sa?ēmis vairākas balvas: ?ehijas grāmata 2014, Magnesia Litera 2014 (prozas kategorija) un Josefa ?kvorecka balvu, un Eiropas Savienības Literatūras balvu. Grāmata tulkota 13 valodās. Grāmatu latvie?u valodā tulkojis Jānis Krasti??, bet tās redaktore ir Aija Lāce. Fotogrāfs Ainārs Mazjānis par ?o Jana ?emeca romānu saka ?ādi:?Tas, ko grāmatas varonis darīja fotomākslas jomā 20.gs. sākumā ir kas neaptverams un jebkur? eso?ais vai topo?ais fotogrāfs var daudz no vi?a mācīties. Gaismas, ēnu un formu spēle padara vi?a darbus ?oti at??irīgus no tīras fotogrāfijas un pietuvina tos mākslai - savā zi?ā tā ir kā glezno?ana ar gaismu. Lai arī cik ironiski tas būtu, pa ?iem gadiem strādājo?a fotogrāfa dzīves modelis nav nemaz tik ?oti mainījies. Tāpēc topo?ajiem fotogrāfiem būtu ?oti vērtīgi ielūkoties cita fotogrāfa dzīvē, lai sparastu, kas tas ir un vai tas ir domāts tev. ?oti interesants romāns ikvienam, kuru interesē foto un māksla. Projektu līdzfinansē Eiropas Savienības programma “Rado?ā Eiropa”. Grāmatas izdo?anu līdzfinansējusi Latvijas Republikas Kultūras ministrija un ?ehijas Kultūras ministrija.

Create advanced applications with Python and OpenCV, exploring the potential of facial recognition, machine learning, deep learning, web computing and augmented reality. Key Features * Develop your computer vision skills by mastering algorithms in Open Source Computer Vision 4 (OpenCV 4)and Python * Apply machine learning and deep learning techniques with TensorFlow, Keras, and PyTorch * Discover the modern design patterns you should avoid when developing efficient computer vision applications Book Description OpenCV is considered to be one of the best open source computer vision and machine learning software libraries. It helps developers build complete projects in relation to image processing, motion detection, or image segmentation, among many others. OpenCV for Python enables you to run computer vision algorithms smoothly in real time, combining the best of the OpenCV C++ API and the Python language. In this book, you'll get started by setting up OpenCV and delving into the key concepts of computer vision. You'll then proceed to study more advanced concepts and discover the full potential of OpenCV. The book will also introduce you to the creation of advanced applications using Python and OpenCV, enabling you to develop applications that include facial recognition, target tracking, or augmented reality. Next, you'll learn machine learning techniques and concepts, understand how to apply them in real-world examples, and also explore their benefits, including real-time data production and faster data processing. You'll also discover how to translate the functionality provided by OpenCV into optimized application code projects using Python bindings. Toward the concluding chapters, you'll explore the application of artificial intelligence and deep learning techniques using the popular Python libraries TensorFlow, and Keras. By the end of this book, you'll be able to develop advanced computer vision applications to meet your customers' demands. What you will learn * Handle files and images, and explore various image processing techniques * Explore image transformations, including translation, resizing, and cropping * Gain insights into building histograms * Brush up on contour detection, filtering, and drawing * Work with Augmented Reality to build marker-based and markerless applications * Work with the main machine learning algorithms in OpenCV * Explore the deep learning Python libraries and OpenCV deep learning capabilities * Create computer vision and deep learning web applications Who this book is for This book is designed for computer vision developers, engineers, and researchers who want to develop modern computer vision applications. Basic experience of OpenCV and Python programming is a must.

Write efficient, reusable scripts to build custom characters, game environments, and control enemy AI Key Features * Build captivating multiplayer games using Unreal Engine and C++ * Incorporate existing C++ libraries into your game to add extra functionality such as hardware integration * Practical solutions for memory management, error handling, inputs, and collision for your game codebase Book Description Unreal Engine 4 (UE4) is a popular and award-winning game engine that powers some of the most popular games. A truly powerful tool for game development, there has never been a better time to use it for both commercial and independent projects. With more than 100 recipes, this book shows how to unleash the power of C++ while developing games with Unreal Engine. This book takes you on a journey to jumpstart your C++ and UE4 development skills. You will start off by setting up UE4 for C++ development and learn how to work with Visual Studio, a popular code editor. You will learn how to create C++ classes and structs the Unreal way. This will be followed by exploring memory management, smart pointers, and debugging your code. You will then learn how to make your own Actors and Components through code and how to handle input and collision events. You will also get exposure to many elements of game development including creating user interfaces, artificial intelligence, and writing code with networked play in mind. You will also learn how to add on to the Unreal Editor itself. With a range of task-oriented recipes, this book provides actionable information about writing code for games with UE4 using C++. By the end of the book, you will be empowered to become a top-notch developer with UE4 using C++ as your scripting language! What you will learn * Create C++ classes and structs that integrate well with UE4 and the Blueprints editor * Discover how to work with various APIs that Unreal Engine already contains * Utilize advanced concepts such as events, delegates, and interfaces in your UE4 projects * Build user interfaces using Canvas and UMG through C++ * Extend the Unreal Editor by creating custom windows and editors * Implement AI tasks and services using C++, Blackboard, and Behavior Trees * Write C++ code with networking in mind and replicate properties and functions Who this book is for If you are really passionate game developer looking for solutions to common scripting problems, then this is the book for you. Understanding of the fundamentals of game design and C++ is expected to get the most from this book.

A practical guide to getting the most out of Excel, using it for data preparation, applying machine learning models (including cloud services) and understanding the outcome of the data analysis. Key Features * Use Microsoft's product Excel to build advanced forecasting models using varied examples * Cover range of machine learning tasks such as data mining, data analytics, smart visualization, and more * Derive data-driven techniques using Excel plugins and APIs without much code required Book Description We have made huge progress in teaching computers to perform difficult tasks, especially those that are repetitive and time-consuming for humans. Excel users, of all levels, can feel left behind by this innovation wave. The truth is that a large amount of the work needed to develop and use a machine learning model can be done in Excel. The book starts by giving a general introduction to machine learning, making every concept clear and understandable. Then, it shows every step of a machine learning project, from data collection, reading from different data sources, developing models, and visualizing the results using Excel features and offerings. In every chapter, there are several examples and hands-on exercises that will show the reader how to combine Excel functions, add-ins, and connections to databases and to cloud services to reach the desired goal: building a full data analysis flow. Different machine learning models are shown, tailored to the type of data to be analyzed. At the end of the book, the reader is presented with some advanced use cases using Automated Machine Learning, and artificial neural network, which simplifies the analysis task and represents the future of machine learning. What you will learn * Use Excel to preview and cleanse datasets * Understand correlations between variables and optimize the input to machine learning models * Use and evaluate different machine learning models from Excel * Understand the use of different visualizations * Learn the basic concepts and calculations to understand how artificial neural networks work * Learn how to connect Excel to the Microsoft Azure cloud * Get beyond proof of concepts and build fully functional data analysis flows Who this book is for This book is for data analysis, machine learning enthusiasts, project managers, and someone who doesn't want to code much for performing core tasks of machine learning. Each example will help you perform end-to-end smart analytics. Working knowledge of Excel is required.

Use Ansible to configure your systems, deploy software, and orchestrate advanced IT tasks Key Features * Get familiar with the fundamentals of Ansible 2.7 * Understand how to use Ansible Tower to scale your IT automation * Gain insights into how to develop and test Ansible playbooks Book Description Ansible is an open source automation platform that assists organizations with tasks such as application deployment, orchestration, and task automation. With the release of Ansible 2.7, even complex tasks can be handled much more easily than before. Learning Ansible 2.7 will help you take your first steps toward understanding the fundamentals and practical aspects of Ansible by introducing you to topics such as playbooks, modules, and the installation of Linux, Berkeley Software Distribution (BSD), and Windows support. In addition to this, you will focus on various testing strategies, deployment, and orchestration to build on your knowledge. The book will then help you get accustomed to features including cleaner architecture, task blocks, and playbook parsing, which can help you to streamline automation processes. Next, you will learn how to integrate Ansible with cloud platforms such as Amazon Web Services (AWS) before gaining insights into the enterprise versions of Ansible, Ansible Tower and Ansible Galaxy. This will help you to use Ansible to interact with different operating systems and improve your working efficiency. By the end of this book, you will be equipped with the Ansible skills you need to automate complex tasks for your organization. What you will learn * Create a web server using Ansible * Write a custom module and test it * Deploy playbooks in the production environment * Troubleshoot networks using Ansible * Use Ansible Galaxy and Ansible Tower during deployment * Deploy an application with Ansible on AWS, Azure and DigitalOcean Who this book is for This beginner-level book is for system administrators who want to automate their organization's infrastructure using Ansible 2.7. No prior knowledge of Ansible is required

Understand, design, and create cognitive applications using Watson’s suite of APIs. Key Features * Develop your skills and work with IBM Watson APIs to build efficient and powerful cognitive apps * Learn how to build smart apps to carry out different sets of activities using real-world use cases * Get well versed with the best practices of IBM Watson and implement them in your daily work Book Description Cognitive computing is rapidly infusing every aspect of our lives riding on three important fields: data science, machine learning (ML), and artificial intelligence (AI). It allows computing systems to learn and keep on improving as the amount of data in the system grows. This book introduces readers to a whole new paradigm of computing – a paradigm that is totally different from the conventional computing of the Information Age. You will learn the concepts of ML, deep learning (DL), neural networks, and AI through the set of APIs provided by IBM Watson. This book will help you build your own applications to understand, plan, and solve problems, and analyze them as per your needs. You will learn about various domains of cognitive computing, such as NLP, voice processing, computer vision, emotion analytics, and conversational systems, using different IBM Watson APIs. From this, the reader will learn what ML is, and what goes on in the background to make computers "do their magic," as well as where these concepts have been applied. Having achieved this, the readers will then be able to embark on their journey of learning, researching, and applying the concept in their respective fields. What you will learn * Get well versed with the APIs provided by IBM Watson on IBM Cloud * Learn ML, AI, cognitive computing, and neural network principles * Implement smart applications in fields such as healthcare, entertainment, security, and more * Understand unstructured content using cognitive metadata with the help of Natural Language Understanding * Use Watson’s APIs to create real-life applications to realize their capabilities * Delve into various domains of cognitive computing, such as media analytics, embedded deep learning, computer vision, and more Who this book is for This book is for beginners and novices; having some knowledge about artificial intelligence and deep learning is an advantage, but not a prerequisite to benefit from this book. We explain the concept of deep learning and artificial intelligence through the set of tools IBM Watson provides.

Leverage Docker to unlock efficient and rapid container deployments to improve your development workflow Key Features * Reconfigure Docker hosts to create a logging system with the ElasticSearch-Logstash-Kibana (ELK) stack * Tackle the challenges of large-scale container deployment with this fast-paced guide * Benchmark the performance of your Docker containers using Apache JMeter Book Description Docker is an enterprise-grade container platform that allows you to build and deploy your apps. Its portable format lets you run your code right from your desktop workstations to popular cloud computing providers. This comprehensive guide will improve your Docker work?ows and ensure your application's production environment runs smoothly. This book starts with a refresher on setting up and running Docker and details the basic setup for creating a Docker Swarm cluster. You will then learn how to automate this cluster by using Chef Server and Cookbook. After that, you will run the Docker monitoring system with Prometheus and Grafana, and deploy the ELK stack. You will also learn some tips for optimizing Docker images. After deploying containers with the help of Jenkins, you will then move on to a tutorial on using Apache JMeter to analyze your application's performance. You will learn how to use Docker Swarm and NGINX to load-balance your application and how common debugging tools in Linux can be used to troubleshoot Docker containers. By the end of this book, you will be able to integrate all the optimizations that you have learned and put everything into practice in your applications. What you will learn * Automate provisioning and setting up nodes in a Docker Swarm cluster * Configure a monitoring system with Prometheus and Grafana * Use Apache JMeter to create workloads for benchmarking the performance of Docker containers * Understand how to load-balance an application with Docker Swarm and Nginx * Deploy strace, tcdump, blktrace, and other Linux debugging tools to troubleshoot containers * Integrate Docker optimizations for DevOps, Site Reliability Engineering, CI, and CD Who this book is for If you are a software developer with a good understanding of managing Docker services and the Linux file system and are looking for ways to optimize working with Docker containers, then this is the book for you. Developers fascinated with containers and workflow automation with benefit from this book.

Create innovative informatics solutions with TIBCO Spotfire Key Features * Get to grips with a variety of TIBCO Spotfire features to create professional applications * Use different data and visualization techniques to build interactive analyses. * Simplify BI processes and understand data analysis and visualization Book Description The need for agile business intelligence (BI) is growing daily, and TIBCO Spotfire? combines self-service features with essential enterprise governance and scaling capabilities to provide best-practice analytics solutions. Spotfire is easy and intuitive to use and is a rewarding environment for all BI users and analytics developers. Starting with data and visualization concepts, this book takes you on a journey through increasingly advanced topics to help you work toward becoming a professional analytics solution provider. Examples of analyzing real-world data are used to illustrate how to work with Spotfire. Once you've covered the AI-driven recommendations engine, you'll move on to understanding Spotfire's rich suite of visualizations and when, why and how you should use each of them. In later chapters, you'll work with location analytics, advanced analytics using TIBCO Enterprise Runtime for R?, how to decide whether to use in-database or in-memory analytics, and how to work with streaming (live) data in Spotfire. You'll also explore key product integrations that significantly enhance Spotfire's capabilities.This book will enable you to exploit the advantages of the Spotfire serve topology and learn how to make practical use of scheduling and routing rules. By the end of this book, you will have learned how to build and use powerful analytics dashboards and applications, perform spatial analytics, and be able to administer your Spotfire environment efficiently What you will learn * Work with Spotfire on its web, Cloud, PC, Mac and mobile clients * Deploy Spotfire's suite of visualization types effectively and intelligently * Build user-friendly analytics frameworks and analytics applications * Explore Spotfire's predictive analytics capabilities * Use Spotfire's location analytics capabilities to create interactive spatial analyses * Write IronPython scripts with the Spotfire API * Learn the different ways Spotfire can be deployed and administered Who this book is for If you are a business intelligence or data professional, this book will give you a solid grounding in the use of TIBCO Spotfire. This book requires no prior knowledge of Spotfire or any basic data and visualization concepts.

Harness the power of the latest edition with this in-depth and comprehensive guide to the Swift language Key Features * Fifth edition of this bestselling book, improved and updated to cover the latest version of the Swift 5 programming language * Get to grips with popular and modern design techniques to write easy-to-manage Swift code * Learn how to use core Swift features such as concurrency, generics, and copy-on-write in your code Book Description Over the years, the Mastering Swift book has established itself amongst developers as a popular choice as an in-depth and practical guide to the Swift programming language. The latest edition is fully updated and revised to cover the new version: Swift 5. Inside this book, you'll find the key features of Swift 5 easily explained with complete sets of examples. From the basics of the language to popular features such as concurrency, generics, and memory management, this definitive guide will help you develop your expertise and mastery of the Swift language. Mastering Swift 5, Fifth Edition will give you an in-depth knowledge of some of the most sophisticated elements in Swift development, including protocol extensions, error handling, and closures. It will guide you on how to use and apply them in your own projects. Later, you'll see how to leverage the power of protocol-oriented programming to write flexible and easier-to-manage code. You will also see how to add the copy-on-write feature to your custom value types and how to avoid memory management issues caused by strong reference cycles. What you will learn * Understand core Swift components, including operators, collections, control flows, and functions * Learn how and when to use classes, structures, and enumerations * Understand how to use protocol-oriented design with extensions to write easier-to-manage code * Use design patterns with Swift, to solve commonly occurring design problems * Implement copy-on-write for you custom value types to improve performance * Add concurrency to your applications using Grand Central Dispatch and Operation Queues * Implement generics to write flexible and reusable code Who this book is for This book is for developers who want to delve into the newest version of Swift. If you are a developer and learn best by looking at and working with code, then this book is for you. A basic understanding of Apple's tools would be beneficial but not mandatory. All examples should work on the Linux platform as well.

Build smart looking Kotlin apps with UI and functionality for the Android platform Key Features * Start your Android programming career, or just have fun publishing apps on Google Play marketplace * The first-principle introduction to Kotlin through Android, to start building easy-to-use apps * Learn by example and build four real-world apps and dozens of mini-apps Book Description Android is the most popular mobile operating system in the world and Kotlin has been declared by Google as a first-class programming language to build Android apps. With the imminent arrival of the most anticipated Android update, Android 10 (Q), this book gets you started building apps compatible with the latest version of Android. It adopts a project-style approach, where we focus on teaching the fundamentals of Android app development and the essentials of Kotlin by building three real-world apps and more than a dozen mini-apps. The book begins by giving you a strong grasp of how Kotlin and Android work together before gradually moving onto exploring the various Android APIs for building stunning apps for Android with ease. You will learn to make your apps more presentable using different layouts. You will dive deep into Kotlin programming concepts such as variables, functions, data structures, Object-Oriented code, and how to connect your Kotlin code to the UI. You will learn to add multilingual text so that your app is accessible to millions of more potential users. You will learn how animation, graphics, and sound effects work and are implemented in your Android app. By the end of the book, you will have sound knowledge about significant Kotlin programming concepts and start building your own fully featured Android apps. What you will learn * Learn how Kotlin and Android work together * Build a graphical drawing app using Object-Oriented Programming (OOP) principles * Build beautiful, practical layouts using ScrollView, RecyclerView, NavigationView, ViewPager and CardView * Write Kotlin code to manage an apps' data using different strategies including JSON and the built-in Android SQLite database * Add user interaction, data captures, sound, and animation to your apps * Implement dialog boxes to capture input from the user * Build a simple database app that sorts and stores the user's data Who this book is for This book is for people who are new to Kotlin, Android and want to develop Android apps.It also acts as a refresher for those who have some experience in programming with Android and Kotlin.

Refine your Python programming skills and build professional grade applications with this comprehensive guide Key Features * Create manageable code that can run in various environments with different sets of dependencies * Implement effective Python data structures and algorithms to write optimized code * Discover the exciting new features of Python 3.7 Book Description Python is a dynamic programming language that's used in a wide range of domains thanks to its simple yet powerful nature. Although writing Python code is easy, making it readable, reusable, and easy to maintain is challenging. Complete with best practices, useful tools, and standards implemented by professional Python developers, the third edition of Expert Python Programming will help you overcome this challenge. The book will start by taking you through the new features in Python 3.7. You'll then learn the advanced components of Python syntax, in addition to understanding how to apply concepts of various programming paradigms, including object-oriented programming, functional programming, and event-driven programming. This book will also guide you through learning the best naming practices, writing your own distributable Python packages, and getting up to speed with automated ways of deploying your software on remote servers. You’ll discover how to create useful Python extensions with C, C++, Cython, and CFFI. Furthermore, studying about code management tools, writing clear documentation, and exploring test-driven development will help you write clean code. By the end of the book, you will have become an expert in writing efficient and maintainable Python code. What you will learn * Explore modern ways of setting up repeatable and consistent development environments * Package Python code effectively for community and production use * Learn modern syntax elements of Python programming such as f-strings, enums, and lambda functions * Demystify metaprogramming in Python with metaclasses * Write concurrent code in Python * Extend Python with code written in different languages * Integrate Python with code written in different languages Who this book is for This book will appeal to you if you’re a programmer looking to take your Python knowledge to the next level by writing efficient code and learning the latest features of version 3.7 and above.

Become familiar with Kubernetes and explore techniques to manage your containerized workloads and services Key Features * Learn everything from creating a cluster to monitoring applications in Kubernetes * Understand and develop DevOps primitives using Kubernetes * Use Kubernetes to solve challenging real-life DevOps problems Book Description Kubernetes and DevOps are the two pillars that can keep your business at the top by ensuring high performance of your IT infrastructure. Introduction to DevOps with Kubernetes will help you develop the skills you need to improve your DevOps with the power of Kubernetes. The book begins with an overview of Kubernetes primitives and DevOps concepts. You'll understand how Kubernetes can assist you with overcoming a wide range of real-world operation challenges. You will get to grips with creating and upgrading a cluster, and then learn how to deploy, update, and scale an application on Kubernetes. As you advance through the chapters, you’ll be able to monitor an application by setting up a pod failure alert on Prometheus. The book will also guide you in configuring Alertmanager to send alerts to the Slack channel and trace down a problem on the application using kubectl commands. By the end of this book, you’ll be able to manage the lifecycle of simple to complex applications on Kubernetes with confidence. What you will learn * Create and manage Kubernetes clusters in on-premise systems and cloud * Exercise various DevOps practices using Kubernetes * Explore configuration, secret, and storage management, and exercise these on Kubernetes * Perform different update techniques and apply them on Kubernetes * Use the built-in scaling feature in Kubernetes to scale your applications up and down * Use various troubleshooting techniques and have a monitoring system installed on Kubernetes Who this book is for If you are a developer who wants to learn how to apply DevOps patterns using Kubernetes, then this book is for you. Familiarity with Kubernetes will be useful, but not essential.

The bestselling classic set in South Africa during the apartheid era, in which two siblings must face the dangers of their divided country. Mma lives and works in Johannesburg, far from the village thirteen-year-old Naledi and her younger brother, Tiro, call home. When their baby sister suddenly becomes very sick, Naledi and Tiro know that they need to bring their mother back in order to save their sister’s life. Bravely, secretly, they set off on the long journey to the big city to find Mma. It isn’t until they finally reach Jo’burg that they see up close what life is like for black citizens across South Africa—and begin to really question the unfair and dangerous laws of apartheid.

Ace and Ridge are back to save their friend—and the world—in this sequel to The Wishmakers, which Chris Grabenstein, #1 New York Times bestselling author of Escape from Mr. Lemoncello’s Library, praised as a “fantastically fast-paced and funny read.”Being a Wishmaker may be more trouble than it’s worth. Sure, you get a genie who can grant an unlimited number of wishes, but for each one you make you have to accept an awful consequence in return. Not to mention that you’re also given an impossible quest and only seven days to fulfill it!Despite all that, Ace and his genie, Ridge, managed to complete their last mission—but they couldn’t save their friend Tina from being abducted by a rogue genie who’s bent on using his limitless power to rule the world. To rescue her, Ace must reunite with Ridge to become a Wishmaker once more, and they’ll need to team up with the unlikeliest of new allies. It’s not every day you get a second chance to save the world, so Ace is determined to learn from his past mistakes and wish for the best, literally.Perfect for fans of Max Brailler, Adam Gidwitz, and Dan Gutman, this middle grade series is a wonderful mix of unpredictable magic, zany humor, and daring adventure. “An ingenious premise” raved Kirkus in a starred review!

The crime-loving Crims are back in the second installment of this hilarious trilogy, perfect for fans of Lemony Snicket and Pseudonymous Bosch!Imogen Crim has moved back home with her family and resumed her commitment to crime. But coming back to Blandington isn’t quite so easy.Between Big Nana’s crime theory assignments, regular schoolwork, and keeping up with her new archenemy Ava Gud, Imogen can’t find a spare moment to participate in the family’s new Crime Directive. And the Crims have even been bumped from the top spot on Blandington’s Most Wanted list! Oh, the injustice!Then various Crims start disappearing without a trace, and Big Nana is convinced that the Kruk family is behind the kidnappings. Imogen will need to use all her shadiest and shiftiest skills if she’s ever to see her family again…

Supervised and unsupervised machine learning made easy in Scala with this quick-start guide. Key Features * Construct and deploy machine learning systems that learn from your data and give accurate predictions * Unleash the power of Spark ML along with popular machine learning algorithms to solve complex tasks in Scala. * Solve hands-on problems by combining popular neural network architectures such as LSTM and CNN using Scala with DeepLearning4j library Book Description Scala is a highly scalable integration of object-oriented nature and functional programming concepts that make it easy to build scalable and complex big data applications. This book is a handy guide for machine learning developers and data scientists who want to develop and train effective machine learning models in Scala. The book starts with an introduction to machine learning, while covering deep learning and machine learning basics. It then explains how to use Scala-based ML libraries to solve classification and regression problems using linear regression, generalized linear regression, logistic regression, support vector machine, and Na?ve Bayes algorithms. It also covers tree-based ensemble techniques for solving both classification and regression problems. Moving ahead, it covers unsupervised learning techniques, such as dimensionality reduction, clustering, and recommender systems. Finally, it provides a brief overview of deep learning using a real-life example in Scala. What you will learn * Get acquainted with JVM-based machine learning libraries for Scala such as Spark ML and Deeplearning4j * Learn RDDs, DataFrame, and Spark SQL for analyzing structured and unstructured data * Understand supervised and unsupervised learning techniques with best practices and pitfalls * Learn classification and regression analysis with linear regression, logistic regression, Na?ve Bayes, support vector machine, and tree-based ensemble techniques * Learn effective ways of clustering analysis with dimensionality reduction techniques * Learn recommender systems with collaborative filtering approach * Delve into deep learning and neural network architectures Who this book is for This book is for machine learning developers looking to train machine learning models in Scala without spending too much time and effort. Some fundamental knowledge of Scala programming and some basics of statistics and linear algebra is all you need to get started with this book.

The scientist who has been dubbed the “Father of Intelligent Design” and author of the groundbreaking book Darwin’s Black Box contends that recent scientific discoveries further disprove Darwinism and strengthen the case for an intelligent creator. In his controversial bestseller Darwin’s Black Box, biochemist Michael Behe challenged Darwin’s theory of evolution, arguing that science itself has proven that intelligent design is a better explanation for the origin of life. In Darwin Devolves, Behe advances his argument, presenting new research that offers a startling reconsideration of how Darwin’s mechanism works, weakening the theory’s validity even more. A system of natural selection acting on random mutation, evolution can help make something look and act differently. But evolution never creates something organically. Behe contends that Darwinism actually works by a process of devolution—damaging cells in DNA in order to create something new at the lowest biological levels. This is important, he makes clear, because it shows the Darwinian process cannot explain the creation of life itself. “A process that so easily tears down sophisticated machinery is not one which will build complex, functional systems,” he writes.In addition to disputing the methodology of Darwinism and how it conflicts with the concept of creation, Behe reveals that what makes Intelligent Design unique—and right—is that it acknowledges causation. Evolution proposes that organisms living today are descended with modification from organisms that lived in the distant past. But Intelligent Design goes a step further asking, what caused such astounding changes to take place? What is the reason or mechanism for evolution? For Behe, this is what makes Intelligent Design so important.

A tongue-in-cheek collection of the tips, tricks, and recipes that will fix your life without busting your budget.$9 Therapy proves that it’s possible to take self-care seriously without taking yourself too seriously. Self-professed lifestyle gurus Nick Greene and Megan Reid know that sometimes it takes as little as spending nine dollars on an act of self-care to turn your day around. While working their first, low-paying jobs out of school, Nick and Meg learned to spend wisely—and fabulously—and firmly came to believe in the radical potential of simple pleasures. In $9 Therapy, they use their hard-won wisdom to show how small, inexpensive treats can elevate your adulting game: whether it’s mindfully repotting a plant to finally drinking from a decent wine glass (even if you can afford only one), to recipes you’ll actually want to cook, to design tips to make even the tiniest spaces look like Instagram-bait.With enthusiasm and sass, (and featuring 30 colorful illustrations), $9 Therapy brings together the lifehacks and mini-upgrades that encourage you to make your life a little bit easier, a little bit less stressful, a little bit better, a little more loving toward yourself and the humans around you.