A stranger appears out of the woods. Numbers start popping up in the sky. What does it all mean for Steve? There is only one way to find out, join Alex and Steve in Minecraft! Alex versus the Ender Dragon Alex is living near a friendly trading village when strange things start happening. She decides it’s best to move into the village for strength in numbers when something appears near the edge of town. Alex has to face off against the mighty Ender Dragon. Will she win? Find out in Alex versus the Ender Dragon! The Troller Stonemann has finished his world and is inviting friends to join in and play but someone gets invited that wasn’t meant to. Stonemann’s house is in danger, his world at the hands of a troller. Will he figure out who it is that is trolling and end the destruction of his world? Join him in Minecraft and find out! The Aftermath of Herobrine Alex has saved the villagers from Herobrine… Or so she thought. He as returned and he is angry. An Ender Dragon is summoned in the village. Alex has to defend her home once again. Will she be able to take Herobrine and an Ender Dragon? We will find out in the story! Stopping the Raiding Irongurl How do you deal with a faction raider? Report to the admin? Josh was going to find out. His peaceful faction was gathering iron, gold, coal and such when a nearby faction attacked! Josh lost his entire stash and sets out to get it back. With the help of a friend and his faction Josh teaches a raider a hard lesson. Alex explores The Nether Bat keeping wither skeletons, village trapping endermen, and a floating village. Alex didn’t know what to expect when she entered the nether. Will she free the enslaved villagers? Will she perish against the Enderman King? Only one way to find out! Getting started in the New World Alex is excited and ready to build and mine. As she digs deeper and deeper, surprises wait around every corner in the depths of the earth. Alex must face zombie attacks and waves of creepers. Will she survive them or will she be turned into one of them? The Mansion of Steve As Steve makes a new home in Minecraft a ghost starts appearing. Who is the strange ghost and why is it haunting Steve? As the ghost returns it reveals that it is known throughout all of Minecraft and feared. Will Steve be able to stop the ghost? Read all about it and find out! Herobrine Returns Alex moved into Minecraft and comes across a village. While there a voice calls to her from the wind and she is curious to figure out who it is. The local village elder tells her to be careful since a Minecraft myth lived here for a while. Will Alex rid herself of this ghost? Will the villagers be safe?

    The book begins with an Overview section. This provides an introduction to Financial Management and to the Financial Environment. The next part covers Financial Planning and Analysis. This section explains concepts like taxes, cash flow, financial statements, and analysis of funds flow and statements. It also discusses financial planning and forecasting.The third part covers the Fundamental Valuation Concepts. This section looks at risk and return, and Securities valuation. The next two parts focus on capital structure, budgeting and dividends. These sections discuss cost of capital, capital structure, planning the capital structure, share valuation and dividend policy. The chapter on Capital budgeting also includes techniques of capital budgeting and analyzing risks in capital budgeting. Part seven goes into Long Term Financing. It covers securities market and sources of long term finance.The next part discusses Working Capital Management. It covers topics like working capital policy and financing, inventory management, and cash and credit management. The last part looks at some special topics like acquisitions, restructuring and mergers. It also discusses international finance management, and project finance, leasing and hire purchase.Fundamentals Of Financial Management provides a good coverage of the basic concepts relating to the financial environment. The topics explained include tax systems, financial institutions, banking arrangements and the regulatory framework. All the concepts are explained using numerous examples and illustrations. Besides the illustrations given within the chapter, additional concepts, tools and techniques with illustrations are provided at the end of chapter sections. The book takes an analytical approach, and explains the various analytical methods in context.

    C. R. Licklider, whose visionary dream of a human-computer symbiosis transformed the course of modern science and led to the development of the personal computer. Reprint.

    With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals. You’ll explore the basic operations and common functions of Spark’s structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Spark’s scalable machine-learning library. Get a gentle overview of big data and Spark Learn about DataFrames, SQL, and Datasets—Spark’s core APIs—through worked examples Dive into Spark’s low-level APIs, RDDs, and execution of SQL and DataFrames Understand how Spark runs on a cluster Debug, monitor, and tune Spark clusters and applications Learn the power of Structured Streaming, Spark’s stream-processing engine Learn how you can apply MLlib to a variety of problems, including classification or recommendation

    The book will teach you about:* Neural networks, a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data* Deep learning, a powerful set of techniques for learning in neural networksNeural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing. This book will teach you the core concepts behind neural networks and deep learning.

    Techniques covered include state- and goal-based behavior, inter-agent communication, individual and group steering behaviors, team AI, graph theory, search, path planning and optimization, triggers, scripting, scripted finite state machines, perceptual modeling, goal evaluation, goal arbitration, and fuzzy logic.

    You think you are special, unique, and that whatever it is that you are doing is impossible to replace. You are wrong. As we speak, millions of algorithms created by computer scientists are frantically running on servers all over the world, with one sole purpose: do whatever humans can do, but better.That is the argument for a phenomenon called technological unemployment, one that is pervading modern society. But is that really the case? Or is it just a futuristic fantasy? What will become of us in the coming years, and what can we do to prevent a catastrophic collapse of society?Robots Will Steal Your Job, But That's OK: how to survive the economic collapse and be happy explores the impact of technological advances on our lives, what it means to be happy, and provides suggestions on how to avoid a systemic collapse.

    Non- mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics. Dr. Kuhn is a Director of Non-Clinical Statistics at Pfizer Global R&D in Groton Connecticut. He has been applying predictive models in the pharmaceutical and diagnostic industries for over 15 years and is the author of a number of R packages. Dr. Johnson has more than a decade of statistical consulting and predictive modeling experience in pharmaceutical research and development. He is a co-founder of Arbor Analytics, a firm specializing in predictive modeling and is a former Director of Statistics at Pfizer Global R&D. His scholarly work centers on the application and development of statistical methodology and learning algorithms. Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. Addressing practical concerns extends beyond model fitting to topics such as handling class imbalance, selecting predictors, and pinpointing causes of poor model performance-all of which are problems that occur frequently in practice. The text illustrates all parts of the modeling process through many hands-on, real-life examples. And every chapter contains extensive R code f

    Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations. This book introduces the reader to a wealth of techniques and algorithms in the field. All algorithms are based on a single overarching mathematical foundation. Each chapter provides example implementations in pseudo code, detailed mathematical derivations, discussions from a practitioner's perspective, and extensive lists of exercises and class projects. The book's Web site, www.probabilistic-robotics.org, has additional material. The book is relevant for anyone involved in robotic software development and scientific research. It will also be of interest to applied statisticians and engineers dealing with real-world sensor data.

    Readings based on Wooden’s own life experiences and spiritual development through the years revealed that success is built block by block, much like a pyramid. From confidence to faith, the building blocks contribute to moral character and form our key values. Coach Wooden and author Jay Carty would be the first to admit, it is not enough to simply read about the Pyramid of Success, one must also act on it. Enter Coach Wooden’s Playbook for Success, a pocket guide to the principles and Bible verses that Coach Wooden has lived and shared for more than 40 years.  Like sitting next to the legendary coach himself, working through each principle in the Playbook and spending time with God will encourage and set you on the road to success.

    In a future United States where one individual is selected by computer to represent the entire national electorate in voting for the new President, ordinary Norman Muller is not sure he wants that privilege.

    Today, ML algorithms accomplish tasks that - until recently - only expert humans could perform. And finance is ripe for disruptive innovations that will transform how the following generations understand money and invest.In the book, readers will learn how to:Structure big data in a way that is amenable to ML algorithms Conduct research with ML algorithms on big data Use supercomputing methods and back test their discoveries while avoiding false positives Advances in Financial Machine Learning addresses real life problems faced by practitioners every day, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their individual setting.Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.

    Divided into two parts, the first part of the book introduces the programming language Prolog, while the second part teaches Artificial Intelligence using Prolog as a tool for the implementation of AI techniques. Prolog has its roots in logic, however the main aim of this book is to teach Prolog as a practical programming tool. This text therefore concentrates on the art of using the basic mechanisms of Prolog to solve interesting problems. The third edition has been fully revised and extended to provide an even greater range of applications, which further enhance its value as a self-contained guide to Prolog, AI or AI Programming for students and professional programmers alike.

    Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text and image platforms, satellite remote sensing systems, and the World Wide Web have flooded us with a tremendous amount of data. This explosive growth has generated an even more urgent need for new techniques and automated tools that can help us transform this data into useful information and knowledge.Like the first edition, voted the most popular data mining book by KD Nuggets readers, this book explores concepts and techniques for the discovery of patterns hidden in large data sets, focusing on issues relating to their feasibility, usefulness, effectiveness, and scalability. However, since the publication of the first edition, great progress has been made in the development of new data mining methods, systems, and applications. This new edition substantially enhances the first edition, and new chapters have been added to address recent developments on mining complex types of data- including stream data, sequence data, graph structured data, social network data, and multi-relational data.A comprehensive, practical look at the concepts and techniques you need to know to get the most out of real business dataUpdates that incorporate input from readers, changes in the field, and more material on statistics and machine learningDozens of algorithms and implementation examples, all in easily understood pseudo-code and suitable for use in real-world, large-scale data mining projectsComplete classroom support for instructors at www.mkp.com/datamining2e companion site

    Completely updated to comprehensively reflect the most recent changes to the ISTQB Foundation Syllabus, the book adopts a practical, hands-on approach, covering the fundamental topics that every system and software tester should know. The authors are themselves developers of the ISTQB syllabus and are highly respected international authorities, teachers and authors within the field of software testing.