When Robin Barratt and his wife first met Maria in Moscow, they had no idea how much of an impact she would have on their own lives. From the initial interest in her story, the horror of discovering her daily struggle to survive through to active involvement in trying to improve her life. Living on the streets and begging is a harsh reality for many in Russia but for those with a disability life can be doubly cruel. Overlooked by the authorities and people who should have helped her, Maria willingly shared her story with the author who, in turn, made a promise, not only to tell the world about her situation, but to try and make a real difference. Maria's Story documents the true story of one woman's fight for survival against all the odds and those who tried to help her. It uncovers the truth of how many people continue to live in poverty in one of the world's most vibrant cities. Desperately sad, haunting but frequently uplifting, this book is a tale about overcoming adversity and, above all, never losing hope.

Is Leicester City your local football club? Are you a Foxes fan? Have you followed the team's progress during the 2013/2014 season or gone to watch them play? If so, you are certain to want to tackle the 200 challenging questions in 2013/14 Leicester Quiz Book. Can you name Leicester's assistant manager during 2013/14? Who were Leicester's three goalkeepers during this season? What was the name of the left back who joined Leicester in July 2013? The answers to these brain-teasers and more can all be found inside. Relive all the exciting moments of Leicester's 2013/2014 season by having a go at the questions in this book, covering all aspects of the club's performance including the players, managers, transfers, goalscorers, goalkeepers, wins, draws and losses. Take this book along on match day or test family and friends to find out who is the most knowledgeable about Leicester City's 2013/14 season? Full of fascinating facts about your favourite football club, this is the book Leicester City fans won't want to be without.

Understand how to apply distributed tracing to microservices-based architectures Key Features * A thorough conceptual introduction to distributed tracing * An exploration of the most important open standards in the space * A how-to guide for code instrumentation and operating a tracing infrastructure Book Description Mastering Distributed Tracing will equip you to operate and enhance your own tracing infrastructure. Through practical exercises and code examples, you will learn how end-to-end tracing can be used as a powerful application performance management and comprehension tool. The rise of Internet-scale companies, like Google and Amazon, ushered in a new era of distributed systems operating on thousands of nodes across multiple data centers. Microservices increased that complexity, often exponentially. It is harder to debug these systems, track down failures, detect bottlenecks, or even simply understand what is going on. Distributed tracing focuses on solving these problems for complex distributed systems. Today, tracing standards have developed and we have much faster systems, making instrumentation less intrusive and data more valuable. Yuri Shkuro, the creator of Jaeger, a popular open-source distributed tracing system, delivers end-to-end coverage of the field in Mastering Distributed Tracing. Review the history and theoretical foundations of tracing; solve the data gathering problem through code instrumentation, with open standards like OpenTracing, W3C Trace Context, and OpenCensus; and discuss the benefits and applications of a distributed tracing infrastructure for understanding, and profiling, complex systems. What you will learn * How to get started with using a distributed tracing system * How to get the most value out of end-to-end tracing * Learn about open standards in the space * Learn about code instrumentation and operating a tracing infrastructure * Learn where distributed tracing fits into microservices as a core function Who this book is for Any developer interested in testing large systems will find this book very revealing and in places, surprising. Every microservice architect and developer should have an insight into distributed tracing, and the book will help them on their way. System administrators with some development skills will also benefit. No particular programming language skills are required, although an ability to read Java, while non-essential, will help with the core chapters.

Create a real-world application in Go and explore various frameworks and methodologies for full-stack development Key Features * Organize your isomorphic codebase to enhance the maintainability of your application * Build web APIs and middleware in the Go language by making use of the popular Gin framework * Implement real-time web application functionality with WebSockets Book Description The Go programming language has been rapidly adopted by developers for building web applications. With its impressive performance and ease of development, Go enjoys the support of a wide variety of open source frameworks, for building scalable and high-performant web services and apps. Hands-On Full Stack Development with Go is a comprehensive guide that covers all aspects of full stack development with Go. This clearly written, example-rich book begins with a practical exposure to Go development and moves on to build a frontend with the popular React framework. From there, you will build RESTful web APIs utilizing the Gin framework. After that, we will dive deeper into important software backend concepts, such as connecting to the database via an ORM, designing routes for your services, securing your services, and even charging credit cards via the popular Stripe API. We will also cover how to test, and benchmark your applications efficiently in a production environment. In the concluding chapters, we will cover isomorphic developments in pure Go by learning about GopherJS. As you progress through the book, you'll gradually build a musical instrument online store application from scratch. By the end of the book, you will be confident in taking on full stack web applications in Go. What you will learn * Understand Go programming by building a real-world application * Learn the React framework to develop a frontend for your application * Understand isomorphic web development utilizing the GopherJS framework * Explore methods to write RESTful web APIs in Go using the Gin framework * Learn practical topics such as ORM layers, secure communications, and Stripe's API * Learn methods to benchmark and test web APIs in Go Who this book is for Hands-On Full Stack Development with Go will appeal to developers who are looking to start building amazing full stack web applications in Go. Basic knowhow of Go language and JavaScript is expected. The book targets web developers who are looking to move to the Go language.

A practical guide for developing end-to-end serverless microservices in Python for developers, DevOps, and architects. Key Features * Create a secure, cost-effective, and scalable serverless data API * Use identity management and authentication for a user-specific and secure web application * Go beyond traditional web hosting to explore the full range of cloud hosting options Book Description Over the last few years, there has been a massive shift from monolithic architecture to microservices, thanks to their small and independent deployments that allow increased flexibility and agile delivery. Traditionally, virtual machines and containers were the principal mediums for deploying microservices, but they involved a lot of operational effort, configuration, and maintenance. More recently, serverless computing has gained popularity due to its built-in autoscaling abilities, reduced operational costs, and increased productivity. Building Serverless Microservices in Python begins by introducing you to serverless microservice structures. You will then learn how to create your first serverless data API and test your microservice. Moving on, you'll delve into data management and work with serverless patterns. Finally, the book introduces you to the importance of securing microservices. By the end of the book, you will have gained the skills you need to combine microservices with serverless computing, making their deployment much easier thanks to the cloud provider managing the servers and capacity planning. What you will learn * Discover what microservices offer above and beyond other architectures * Create a serverless application with AWS * Gain secure access to data and resources * Run tests on your configuration and code * Create a highly available serverless microservice data API * Build, deploy, and run your serverless configuration and code Who this book is for If you are a developer with basic knowledge of Python and want to learn how to build, test, deploy, and secure microservices, then this book is for you. No prior knowledge of building microservices is required.

Your one-stop guide to learning and implementing artificial neural networks with Keras effectively Key Features * Design and create neural network architectures on different domains using Keras * Integrate neural network models in your applications using this highly practical guide * Get ready for the future of neural networks through transfer learning and predicting multi network models Book Description Neural networks are used to solve a wide range of problems in different areas of AI and deep learning. Hands-On Neural Networks with Keras will start with teaching you about the core concepts of neural networks. You will delve into combining different neural network models and work with real-world use cases, including computer vision, natural language understanding, synthetic data generation, and many more. Moving on, you will become well versed with convolutional neural networks (CNNs), recurrent neural networks (RNNs), long short-term memory (LSTM) networks, autoencoders, and generative adversarial networks (GANs) using real-world training datasets. We will examine how to use CNNs for image recognition, how to use reinforcement learning agents, and many more. We will dive into the specific architectures of various networks and then implement each of them in a hands-on manner using industry-grade frameworks. By the end of this book, you will be highly familiar with all prominent deep learning models and frameworks, and the options you have when applying deep learning to real-world scenarios and embedding artificial intelligence as the core fabric of your organization. What you will learn * Understand the fundamental nature and workflow of predictive data modeling * Explore how different types of visual and linguistic signals are processed by neural networks * Dive into the mathematical and statistical ideas behind how networks learn from data * Design and implement various neural networks such as CNNs, LSTMs, and GANs * Use different architectures to tackle cognitive tasks and embed intelligence in systems * Learn how to generate synthetic data and use augmentation strategies to improve your models * Stay on top of the latest academic and commercial developments in the field of AI Who this book is for This book is for machine learning practitioners, deep learning researchers and AI enthusiasts who are looking to get well versed with different neural network architecture using Keras. Working knowledge of Python programming language is mandatory.

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.

Are you a Spurs supporter? If so, how much do you know about the long and successful history of this popular football club? Would you like find out more? Following on from 101 Interesting Facts About Spurs, this new book contains even more information all about Tottenham Hotspur FC. Do you know how many of the 22 League matches against Millwall Spurs have won? What position did Tottenham finish in Division Two during 1936 Jack Tresadern's first season in charge at White Hart Lane? Who scored Spurs' fastest ever Premier League goal? Find out the answers in Another 101 Interesting Facts About Spurs. Dip inside this book to find out about the players, managers, goalkeepers and goal scorers that have been a part of the Spurs' story through the years, together with all the facts and figures on many of the club's memorable wins, draws and losses. Packed full of fascinating trivia all about your favourite football club, this book is a must-have for Spurs fans of all ages.

Every Sunday, Mollie - a miniature dachshund - would attend Mass at Holy Trinity Church in Gosport with her owner, Christine Harris. Mollie had her own kneeler, received the blessing of St Francis from the priest and regarded it as her special duty to welcome newcomers to the church. She was also known to be partial to a quick puff of incense. Her fame spread throughout the town when - in 2008 after her 'sister' Sascha died - she took over Sascha's column in the parish magazine. Written with gusto and an anarchic approach to life, Mollie's Tailpiece tackled every subject under the sun, from meeting the bishop and processing with the choir, to playing in the snow and riding in the basket on the front of Christine's bicycle, all with a delightful grasp of the art of the malapropism. This collection of Mollie's columns perfectly captures her much-missed sense of fun and mischief.

The Gosport Ferry occupies a special place in people's lives. Day in, day out, it calmly plies back and forth across Portsmouth Harbour, and though the ferries themselves may have changed over the years - from steam-boats with open decks, where passengers were exposed to the elements, to the comfortable diesel craft of today with their heated saloons - they are still the source of familiar stories, handed down through the generations.In this fascinating book, you will read dozens of those stories, contributed by people from Gosport, Portsmouth and further afield. Of the ferry that got lost in the fog, of the man who misjudged the leap from the pontoon and ended up in the water, of the pile of bicycles on the bow, of the Dockyard matey who met the girl of his dreams on board, of getting a stiletto heel stuck between the boards of the pontoon, of seeing down into the engine-room below, and even of the dog that travelled on the first ferry every morning - on his own - to go to Portsmouth Meat Market for a bone.Many recall the 'Floating Bridge' too, with its clanking chains, and although no-one is alive today who remembers the days of the 'wherrymen' who used to row customers across the Harbour, their names and their legacy live on.

Playing Sherlock Holmes contains three verbatim interviews - with John Wood, Robert Stephens and Christopher Lee - about their very different experiences of appearing as Holmes on stage and screen. The interviews were conducted in 1974. At the time, John Wood was appearing on stage in an acclaimed revival of William Gillette's play Sherlock Holmes, a Royal Shakespeare Company production; Robert Stephens had recently completed The Private Life of Sherlock Holmes for film director Billy Wilder; and Christopher Lee - who had a role as Mycroft Holmes in that film - had earlier played the lead role in Sherlock Holmes and the Deadly Necklace. The interviews have been transcribed from tapes held in the Arthur Conan Doyle Collection - Richard Lancelyn Green Bequest at Portsmouth Museum.

Do you enjoy the timeless music of Elvis Presley? Were you one of the millions of fans around the world who mourned the iconic singer's untimely death? Do you think you know all about the man dubbed 'The King of Rock and Roll'? Then what better way to pay tribute to your all-time favourite artist than with The Ultimate Elvis Quiz and Fact Book? Elvis Presley is one the most well-known and best-loved singers of the last century, receiving worldwide acclaim and leaving behind a legacy of unforgettable, bestselling hits that continue to be played to this day. This book covers Elvis' early years as a young performer, his rise to fame, musical influences, family and personal life, acting career and eventual transformation into a global megastar. It also details his troubled later life and the events leading up to his premature death, at the age of 42. With 300 questions and 200 fascinating facts about the people and places that shaped the life of one of the most enduring and groundbreaking entertainers in the history of popular music, this is a book that Elvis fans of all ages will want to own.

Would you like to improve your general knowledge? Do you need to gen up for a pub quiz night? Are you keen to challenge your family to find out who knows the most about different subjects? Whatever your interest in The Ultimate General Knowledge Quiz Book you are certain to have fun tackling the 500 questions inside. In which US state is the Hanging Railway Bridge above the Arkansas River? What type of fastener did Walter Hunt invent in 1829? In October 2015, which England football player broke Sir Bobby Charlton's 49 goal record? These are just some of the questions to be found in this book. Dip inside to check your answers and discover more. All areas of general knowledge are covered including film and television, music, history, science, geography, art and literature, sport, inventions and much more, so there is something for everyone, young or old. Packed full of facts, this book is an excellent and quick way to improve your knowledge of the world. So, it's time to get your thinking caps on.

Are you a fan of American girl band Fifth Harmony? Have you followed the girls' success from auditioning as solo artists on The X Factor USA to the formation of Fifth Harmony and beyond? If you think you know all about Ally, Normani, Dinah, Lauren and Camilla, or would like to find out more about them, dip inside The Fifth Harmony Quiz Book. What song did Ally sing during her audition on The X Factor USA in 2012? When the group was formed by Simon Cowell and Demi Lovato, what was the band's original name? What award did Fifth Harmony win at the 'People's Choice Awards 2016'? The answers can all be found in this exciting new quiz book. With 100 questions and fascinating facts all about Fifth Harmony, including many personal details, you are certain to learn something new about this popular girl band. This is a must-have book for everyone who supported the girls on their The X Factor USA journey and who continue to enjoy the music of Fifth Harmony.

Grandma's stories, ';would always start in the place where we were,' and so it is with Unusual Places. Human remains are concealed in the Greenwich Tunnel in a world where London is a prison; a market is the setting for sexual and sensual awakenings; a professional picnicker finds love. Louise Tondeur's stories skip along, rich with detail and musical prose, only to trip us up with turns and surprises: the unusual lurks in the most ordinary of places.

Your hands-on reference guide to developing, training, and optimizing your machine learning models Key Features * Your guide to learning efficient machine learning processes from scratch * Explore expert techniques and hacks for a variety of machine learning concepts * Write effective code in R, Python, Scala, and Spark to solve all your machine learning problems Book Description Machine learning makes it possible to learn about the unknowns and gain hidden insights into your datasets by mastering many tools and techniques. This book guides you to do just that in a very compact manner. After giving a quick overview of what machine learning is all about, Machine Learning Quick Reference jumps right into its core algorithms and demonstrates how they can be applied to real-world scenarios. From model evaluation to optimizing their performance, this book will introduce you to the best practices in machine learning. Furthermore, you will also look at the more advanced aspects such as training neural networks and work with different kinds of data, such as text, time-series, and sequential data. Advanced methods and techniques such as causal inference, deep Gaussian processes, and more are also covered. By the end of this book, you will be able to train fast, accurate machine learning models at your fingertips, which you can easily use as a point of reference. What you will learn * Get a quick rundown of model selection, statistical modeling, and cross-validation * Choose the best machine learning algorithm to solve your problem * Explore kernel learning, neural networks, and time-series analysis * Train deep learning models and optimize them for maximum performance * Briefly cover Bayesian techniques and sentiment analysis in your NLP solution * Implement probabilistic graphical models and causal inferences * Measure and optimize the performance of your machine learning models Who this book is for If you’re a machine learning practitioner, data scientist, machine learning developer, or engineer, this book will serve as a reference point in building machine learning solutions. You will also find this book useful if you’re an intermediate machine learning developer or data scientist looking for a quick, handy reference to all the concepts of machine learning. You’ll need some exposure to machine learning to get the best out of this book.

Discover a project-based approach to mastering machine learning concepts by applying them to everyday problems using libraries such as scikit-learn, TensorFlow, and Keras Key Features * Get to grips with Python's machine learning libraries including scikit-learn, TensorFlow, and Keras * Implement advanced concepts and popular machine learning algorithms in real-world projects * Build analytics, computer vision, and neural network projects Book Description Machine learning is transforming the way we understand and interact with the world around us. This book is the perfect guide for you to put your knowledge and skills into practice and use the Python ecosystem to cover key domains in machine learning. This second edition covers a range of libraries from the Python ecosystem, including TensorFlow and Keras, to help you implement real-world machine learning projects. The book begins by giving you an overview of machine learning with Python. With the help of complex datasets and optimized techniques, you’ll go on to understand how to apply advanced concepts and popular machine learning algorithms to real-world projects. Next, you’ll cover projects from domains such as predictive analytics to analyze the stock market and recommendation systems for GitHub repositories. In addition to this, you’ll also work on projects from the NLP domain to create a custom news feed using frameworks such as scikit-learn, TensorFlow, and Keras. Following this, you’ll learn how to build an advanced chatbot, and scale things up using PySpark. In the concluding chapters, you can look forward to exciting insights into deep learning and you'll even create an application using computer vision and neural networks. By the end of this book, you’ll be able to analyze data seamlessly and make a powerful impact through your projects. What you will learn * Understand the Python data science stack and commonly used algorithms * Build a model to forecast the performance of an Initial Public Offering (IPO) over an initial discrete trading window * Understand NLP concepts by creating a custom news feed * Create applications that will recommend GitHub repositories based on ones you’ve starred, watched, or forked * Gain the skills to build a chatbot from scratch using PySpark * Develop a market-prediction app using stock data * Delve into advanced concepts such as computer vision, neural networks, and deep learning Who this book is for This book is for machine learning practitioners, data scientists, and deep learning enthusiasts who want to take their machine learning skills to the next level by building real-world projects. The intermediate-level guide will help you to implement libraries from the Python ecosystem to build a variety of projects addressing various machine learning domains. Knowledge of Python programming and machine learning concepts will be helpful.