You’re thirteen now. I was eight when I got married. You’ll never look this beautiful ever again.”“I will Ammi, when I wear a school uniform.”If you like thrillers, this micro tale is for you-I always assumed that my neighbour’s daughter knew the word ‘Eight’ only until my dog went missing and she said ‘Nine’.And if you like six-word stories, this tale is for you-Woke up in hospital. Failed again.In fact, there are 100 such small tales that will have a big impact on you.So what are you waiting for? Scroll to the top of this page, buy the book and start reading today.Rafaa's micro tales are absolute gems. The journey is short but its impact is everlasting. This one deserves to be read by all.Sanhita BaruahAuthor of ‘The Art of Grieving’ and ‘The Art of Letting Go’Are you interested in unconventional storytelling? How about a story where the beginning, middle and the end are on the same page? A narrative that makes you frown on page 1, nod in agreement on page 2 and chuckle on page 3?How about reading short fiction then? I highly recommend Small is Big by Rafaa Dalvi. The long and short of fiction in endearing small portions!Rickie KhoslaAuthor of ‘The Imperative Subterfuge’ and ‘Pretty Vile Girl’The book has something for everyone. It has humor – a few of slap stick variety, playing on puns, it has punch where you get a most unexpected twist, it has philosophy, it has romance and it has horror – stories that chill your spine.T.F. CarthickAuthor of ‘Carthick’s Unfairy Tales’ and ‘More Unfairy Tales’About the Author:Rafaa Dalvi tries to escape from the mundane with words and contemplates about befriending the voices in his head. He dreams about changing the world, one smile at a time.Already published numerous times, his stories can be read in the anthologies – Curtain Call (editor), Kaleidoscope, Myriad Tales, and many more. He has also written three volumes of ‘Small is Big’, which is a collection of 100 micro tales. He’s the recipient of Indian Bloggers League Booker Prize 2013.

    

    Adam Bascom trips over a body in Gressington churchyard, he never imagines it will change the whole direction of his life. As a recently-qualified physician trying to establish a practice in a small market town in north Norfolk, Adam should be devoting all his energy to his business. But it soon becomes clear that the authorities are intent on making sure the death is accepted as an accident and refuse any deeper investigation. Adam’s curiosity and sense of justice cannot accept this. He knows there are many unanswered questions about the death, but he has no standing that would allow him to become involved formally. Instead, he uses friends, old and new, unexpected contacts and even his own mother to help him get to the truth. Set against the turbulence of late-Georgian England, a country on the brink of war with Revolutionary France, the book reveals a land where spies keep constant watch on everyone the government deems ‘undesirable’, religion is polarised between the established church and a mass of dissenting sects, and the perennial ‘Irish question’ has at last spilled over into outright terrorism. Bad weather, poor harvests and enclosure have driven many people in the countryside into abject poverty. Only the smugglers along the coast offer regular and highly-paid ‘work’ helping to unload contraband. Yet here too, the Revenue’s Riding Officers, backed up by troops of dragoons, are waging an increasingly successful campaign to stamp out the major gangs. Adam must thread his way through all of this, encountering many new demands along the way, from a family torn apart by religious bigotry, and a teenage thief turned informer, to a secret section of The Alien Office, a government department dedicated to keeping a close eye on anyone likely to prove a threat to the realm. As he becomes more and more essential to the government’s efforts to combat internal dissension and prepare for war, Adam finds he must draw on all his medical and personal skills to bring the case to a successful conclusion.

    That distinction belongs to Gosnell's Babies." — Alexander Nazaryan, The Atlantic Wire"Very well written ... A must-read for anybody who followed this case." — Jake Tapper, CNNIn this chilling tale set against the backdrop of one of the most controversial issues of our times, award-winning journalist Steve Volk tells the decades-long saga of Kermit Gosnell — the abortion doctor whose clinic in a poor section of Philadelphia was revealed to be a house of horrors.Volk — the only journalist to speak to Gosnell since his conviction and imprisonment — brings the eccentric doctor to life, detailing his past in the early days of the abortion-rights movement and getting him to reveal, for the first time ever, why he did what he did. Was Gosnell a monster, or something else?Volk's powerful storytelling gives us a definitive understanding of a complex character, a horrific case, and a divisive issue.

    For anyone who has ever wondered how computers solve problems, an engagingly written guide for nonexperts to the basics of computer algorithms.

    However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation. Similarly, new models based on kernels have had a significant impact on both algorithms and applications. This new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners, and assumes no previous knowledge of pattern recognition or machine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

    With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication.Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligenceThis book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.

    Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications.Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives when interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications. The only necessary mathematical background is familiarity with elementary concepts of probability.The book is divided into three parts. Part I defines the reinforcement learning problem in terms of Markov decision processes. Part II provides basic solution methods: dynamic programming, Monte Carlo methods, and temporal-difference learning. Part III presents a unified view of the solution methods and incorporates artificial neural networks, eligibility traces, and planning; the two final chapters present case studies and consider the future of reinforcement learning.

    In 1935, aged 22, he developed the mathematical theory upon which all subsequent stored-program digital computers are modeled.At the outbreak of hostilities with Germany in September 1939, he joined the Government Codebreaking team at Bletchley Park, Buckinghamshire and played a crucial role in deciphering Engima, the code used by the German armed forces to protect their radio communications. Turing's work on the versionof Enigma used by the German navy was vital to the battle for supremacy in the North Atlantic. He also contributed to the attack on the cyphers known as Fish, which were used by the German High Command for the encryption of signals during the latter part of the war. His contribution helped toshorten the war in Europe by an estimated two years.After the war, his theoretical work led to the development of Britain's first computers at the National Physical Laboratory and the Royal Society Computing Machine Laboratory at Manchester University.Turing was also a founding father of modern cognitive science, theorizing that the cortex at birth is an unorganized machine which through training becomes organized into a universal machine or something like it. He went on to develop the use of computers to model biological growth, launchingthe discipline now referred to as Artificial Life.The papers in this book are the key works for understanding Turing's phenomenal contribution across all these fields. The collection includes Turing's declassified wartime Treatise on the Enigma; letters from Turing to Churchill and to codebreakers; lectures, papers, and broadcasts which opened upthe concept of AI and its implications; and the paper which formed the genesis of the investigation of Artifical Life.

    Now with the second edition, readers will find information on key new topics such as neural networks and statistical pattern recognition, the theory of machine learning, and the theory of invariances. Also included are worked examples, comparisons between different methods, extensive graphics, expanded exercises and computer project topics.An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

    Wouldn't it be wonderful if we could actually visualize data in such a way that we could maximize its potential and tell a story in a clear, concise manner? Thanks to the creative genius of Nathan Yau, we can. With this full-color book, data visualization guru and author Nathan Yau uses step-by-step tutorials to show you how to visualize and tell stories with data. He explains how to gather, parse, and format data and then design high quality graphics that help you explore and present patterns, outliers, and relationships.Presents a unique approach to visualizing and telling stories with data, from a data visualization expert and the creator of flowingdata.com, Nathan Yau Offers step-by-step tutorials and practical design tips for creating statistical graphics, geographical maps, and information design to find meaning in the numbers Details tools that can be used to visualize data-native graphics for the Web, such as ActionScript, Flash libraries, PHP, and JavaScript and tools to design graphics for print, such as R and Illustrator Contains numerous examples and descriptions of patterns and outliers and explains how to show them Visualize This demonstrates how to explain data visually so that you can present your information in a way that is easy to understand and appealing.

    It has made countless new businesses possible and presents a massive opportunity for large enterprises to innovate like startups and retire decades of technical debt. But making the most of the cloud requires much more from enterprises than just a technology change. Stephen Orban led Dow Jones’s journey toward digital agility as their CIO and now leads AWS’s Enterprise Strategy function, where he helps leaders from the largest companies in the world transform their businesses. As he demonstrates in this book, enterprises must re-train their people, evolve their processes, and transform their cultures as they move to the cloud. By bringing together his experiences and those of a number of business leaders, Orban shines a light on what works, what doesn’t, and how enterprises can transform themselves using the cloud.

    Chapter 1: Introduction to Production and Operations Management Chapter 2: Strategic Operations Management Chapter 3: Production Processes, Manufacturing and Service Operations Chapter 4: Design of Production Systems Chapter 5: Manufacturing Technology Chapter 6: Long-Range Capacity Planning Chapter 7: Facility Location Chapter 8: Facility Layout Chapter 9: Design of Work Systems Chapter 10: Production/Operations Planning and Control Chapter 10: Aggregate Planning and Master Production Scheduling Chapter 11: Resource Requirement Planning Chapter 13: Shop Floor Planning and Control Chapter 14: Quality Management Chapter 15: Maintenance Management Chapter 16: Introduction to Materials Management Chapter 17: Inventory Management Chapter 18: JustlnTime Systems Chapter 19: Logistics and Supply Chain Management Index 557564

    A software diskette provides an easy-to-use tool for students to derive probabilities for binomial.

    The author has made this edition more accessible to better meet the needs of today's undergraduate mathematics and philosophy students. It is intended for the reader who has not studied logic previously, but who has some experience in mathematical reasoning. Material is presented on computer science issues such as computational complexity and database queries, with additional coverage of introductory material such as sets.