Take the strategic and systematic approach to analyze data to solve business problems Key FeaturesGain detailed information about the theory of data scienceAugment your coding knowledge with practical data science techniques for efficient data analysis Learn practical ways to strategically and systematically use dataBook Description Principles of Strategic Data Science is created to help you join the dots between mathematics, programming, and business analysis. With a unique approach that bridges the gap between mathematics and computer science, this book takes you through the entire data science pipeline. The book begins by explaining what data science is and how organizations can use it to revolutionize the way they use their data. It then discusses the criteria for the soundness of data products and how to best visualize information. As you progress, you’ll discover the strategic aspects of data science by learning the five-phase framework that enables you to enhance the value you extract from data. The final chapter of the book discusses the role of a data science manager in helping an organization take the data-driven approach. By the end of this book, you’ll have a good understanding of data science and how it can enable you to extract value from your data. What you will learnGet familiar with the five most important steps of data scienceUse the Conway diagram to visualize the technical skills of the data science teamUnderstand the limitations of data science from a mathematical and ethical perspectiveGet a quick overview of machine learningGain insight into the purpose of using data science in your workUnderstand the role of data science managers and their expectationsWho this book is for This book is ideal for data scientists and data analysts who are looking for a practical guide to strategically and systematically use data. This book is also useful for those who want to understand in detail what is data science and how can an organization take the data-driven approach. Prior programming knowledge of Python and R is assumed.
Learn to implement complex data structures and algorithms using Python Key FeaturesUnderstand the analysis and design of fundamental Python data structuresExplore advanced Python concepts such as Big O notation and dynamic programmingLearn functional and reactive implementations of traditional data structuresBook Description Data structures allow you to store and organize data efficiently. They are critical to any problem, provide a complete solution, and act like reusable code. Hands-On Data Structures and Algorithms with Python teaches you the essential Python data structures and the most common algorithms for building easy and maintainable applications. This book helps you to understand the power of linked lists, double linked lists, and circular linked lists. You will learn to create complex data structures, such as graphs, stacks, and queues. As you make your way through the chapters, you will explore the application of binary searches and binary search trees, along with learning common techniques and structures used in tasks such as preprocessing, modeling, and transforming data. In the concluding chapters, you will get to grips with organizing your code in a manageable, consistent, and extendable way. You will also study how to bubble sort, selection sort, insertion sort, and merge sort algorithms in detail. By the end of the book, you will have learned how to build components that are easy to understand, debug, and use in different applications. You will get insights into Python implementation of all the important and relevant algorithms. What you will learnUnderstand object representation, attribute binding, and data encapsulationGain a solid understanding of Python data structures using algorithmsStudy algorithms using examples with pictorial representationLearn complex algorithms through easy explanation, implementing PythonBuild sophisticated and efficient data applications in PythonUnderstand common programming algorithms used in Python data scienceWrite efficient and robust code in Python 3.7Who this book is for This book is for developers who want to learn data structures and algorithms in Python to write complex and flexible programs. Basic Python programming knowledge is expected.
Annotation Explores the feasibility of using techniques such as program transformation and program abstraction to re-engineer and extend the life of an existing IT system. The authors (De Montfort University) outline a program transformation-based evolution workbench called FermaT, the architecture of the wide spectrum language (WSL), and a process for evolving object-oriented, real-time, and parallel systems. The final chapter presents six case studies that use FermaT and re- engineering assistant tools to evolve from source code to specifications or to new source code in a different language. Annotation copyrighted by Book News, Inc., Portland, OR
The ultimate smart reference to the world of mathematics - from quadratic equations and Pythagoras' Theorem to chaos theory and quantum computing. Maths 1001 provides clear and concise explanations of the most fascinating and fundamental mathematical concepts. Distilled into 1001 bite-sized mini-essays arranged thematically, this unique reference book moves steadily from the basics through to the most advanced of ideas, making it the ideal guide for novices and mathematics enthusiasts. Whether used as a handy reference, an informal self-study course or simply as a gratifying dip-in, this book offers - in one volume - a world of mathematical knowledge for the general reader. Maths 1001 is an incredibly comprehensive guide, spanning all of the key mathematical fields including Numbers, Geometry, Algebra, Analysis, Discrete Mathematics, Logic and the Philosophy of Maths, Applied Mathematics, Statistics and Probability and Puzzles and Mathematical Games. From zero and infinity to relativity and Godel's proof that maths is incomplete, Dr Richard Elwes explains the key concepts of mathematics in the simplest language with a minimum of jargon. Along the way he reveals mathematical secrets such as how to count to 1023 using just 10 fingers and how to make an unbreakable code, as well as answering such questions as: Are imaginary numbers real? How can something be both true and false? Why is it impossible to draw an accurate map of the world? And how do you get your head round the mind-bending Monty Hall problem? Extensive, enlightening and entertaining, this really is the only maths book anyone would ever need to buy.
In The Enigmatic Voice of God the author outlines a path for bringing harmony into the world by awakening the dormant mythical character of human intelligence and by reconciling human behavior with nature. The book is a tasteful blend of science, philosophy, history and religion. Poems by the author have been selected to elevate the spirits of the reader. Particularly fascinating are the authors accounts of extraordinary experiences and revelations from a higher power.
Build real-world applications with Python 2.7, CUDA 9, and CUDA 10. We suggest the use of Python 2.7 over Python 3.x, since Python 2.7 has stable support across all the libraries we use in this book. Key FeaturesExpand your background in GPU programming—PyCUDA, scikit-cuda, and NsightEffectively use CUDA libraries such as cuBLAS, cuFFT, and cuSolverApply GPU programming to modern data science applicationsBook Description Hands-On GPU Programming with Python and CUDA hits the ground running: you’ll start by learning how to apply Amdahl’s Law, use a code profiler to identify bottlenecks in your Python code, and set up an appropriate GPU programming environment. You’ll then see how to “query” the GPU’s features and copy arrays of data to and from the GPU’s own memory. As you make your way through the book, you’ll launch code directly onto the GPU and write full blown GPU kernels and device functions in CUDA C. You’ll get to grips with profiling GPU code effectively and fully test and debug your code using Nsight IDE. Next, you’ll explore some of the more well-known NVIDIA libraries, such as cuFFT and cuBLAS. With a solid background in place, you will now apply your new-found knowledge to develop your very own GPU-based deep neural network from scratch. You’ll then explore advanced topics, such as warp shuffling, dynamic parallelism, and PTX assembly. In the final chapter, you’ll see some topics and applications related to GPU programming that you may wish to pursue, including AI, graphics, and blockchain. By the end of this book, you will be able to apply GPU programming to problems related to data science and high-performance computing. What you will learnLaunch GPU code directly from PythonWrite effective and efficient GPU kernels and device functionsUse libraries such as cuFFT, cuBLAS, and cuSolverDebug and profile your code with Nsight and Visual ProfilerApply GPU programming to datascience problemsBuild a GPU-based deep neuralnetwork from scratchExplore advanced GPU hardware features, such as warp shufflingWho this book is for Hands-On GPU Programming with Python and CUDA is for developers and data scientists who want to learn the basics of effective GPU programming to improve performance using Python code. You should have an understanding of first-year college or university-level engineering mathematics and physics, and have some experience with Python as well as in any C-based programming language such as C, C++, Go, or Java.
The New York Times bestselling book coauthored by the Nobel Prize winner who discovered telomerase and telomeres' role in the aging process and the health psychologist who has done original research into how specific lifestyle and psychological habits can protect telomeres, slowing disease and improving life. Have you wondered why some sixty-year-olds look and feel like forty-year-olds and why some forty-year-olds look and feel like sixty-year-olds? While many factors contribute to aging and illness, Dr. Elizabeth Blackburn discovered a biological indicator called telomerase, the enzyme that replenishes telomeres, which protect our genetic heritage. Dr. Blackburn and Dr. Elissa Epel's research shows that the length and health of one's telomeres are a biological underpinning of the long-hypothesized mind-body connection. They and other scientists have found that changes we can make to our daily habits can protect our telomeres and increase our health spans (the number of years we remain healthy, active, and disease-free). The Telemere Effect reveals how Blackburn and Epel's findings, together with research from colleagues around the world, cumulatively show that sleep quality, exercise, aspects of diet, and even certain chemicals profoundly affect our telomeres, and that chronic stress, negative thoughts, strained relationships, and even the wrong neighborhoods can eat away at them. Drawing from this scientific body of knowledge, they share lists of foods and suggest amounts and types of exercise that are healthy for our telomeres, mind tricks you can use to protect yourself from stress, and information about how to protect your children against developing shorter telomeres, from pregnancy through adolescence. And they describe how we can improve our health spans at the community level, with neighborhoods characterized by trust, green spaces, and safe streets. The Telemere Effect will make you reassess how you live your life on a day-to-day basis. It is the first book to explain how we age at a cellular level and how we can make simple changes to keep our chromosomes and cells healthy, allowing us to stay disease-free longer and live more vital and meaningful lives.
Get up to speed with a series of performance-enhancing coding techniques and methods that will help you improve the performance of your Unity applications Key FeaturesOptimize graphically intensive games using the latest features of Unity such as Entity Component System (ECS) and the Burst compilerExplore techniques for solving performance issues with your VR projectsLearn best practices for project organization to save time through an improved workflowBook Description Unity engine comes with a great set of features to help you build high-performance games. This Unity book is your guide to optimizing various aspects of your game development, from game characters and scripts, right through to animations. You’ll explore techniques for writing better game scripts and learn how to optimize a game using Unity technologies such as ECS and the Burst compiler. The book will also help you manage third-party tooling used with the Unity ecosystem. You’ll also focus on the problems in the performance of large games and virtual reality (VR) projects in Unity, gaining insights into detecting performance issues and performing root cause analysis. As you progress, you’ll discover best practices for your Unity C# script code and get to grips with usage patterns. Later, you’ll be able to optimize audio resources and texture files, along with effectively storing and using resource files. You’ll then delve into the Rendering Pipeline and learn how to identify performance problems in the pipeline. In addition to this, you’ll learn how to optimize the memory and processing unit of Unity. Finally, you’ll cover tips and tricks used by Unity professionals to improve the project workflow. By the end of this book, you’ll have developed the skills you need to build interactive games using Unity and its components. What you will learnApply the Unity Profiler to find bottlenecks in your app, and discover how to resolve themDiscover performance problems that are critical for VR projects and learn how to tackle themEnhance shaders in an accessible way, optimizing them with subtle yet effective performance tweaksUse the physics engine to keep scenes as dynamic as possibleOrganize, filter, and compress art assets to maximize performance while maintaining high qualityUse the Mono framework and C# to implement low-level enhancements that maximize memory usage and prevent garbage collectionWho this book is for The book is intended for intermediate Unity game developers who wants to maximize the performance of their game. The book assumes familiarity with C# programming.
Create distributed applications with clever design patterns to solve complex problems Key FeaturesSet up and run distributed algorithms on a cluster using Dask and PySparkMaster skills to accurately implement concurrency in your codeGain practical experience of Python design patterns with real-world examplesBook Description This Learning Path shows you how to leverage the power of both native and third-party Python libraries for building robust and responsive applications. You will learn about profilers and reactive programming, concurrency and parallelism, as well as tools for making your apps quick and efficient. You will discover how to write code for parallel architectures using TensorFlow and Theano, and use a cluster of computers for large-scale computations using technologies such as Dask and PySpark. With the knowledge of how Python design patterns work, you will be able to clone objects, secure interfaces, dynamically choose algorithms, and accomplish much more in high performance computing. By the end of this Learning Path, you will have the skills and confidence to build engaging models that quickly offer efficient solutions to your problems. This Learning Path includes content from the following Packt products: Python High Performance - Second Edition by Gabriele LanaroMastering Concurrency in Python by Quan NguyenMastering Python Design Patterns by Sakis KasampalisWhat you will learnUse NumPy and pandas to import and manipulate datasetsAchieve native performance with Cython and NumbaWrite asynchronous code using asyncio and RxPyDesign highly scalable programs with application scaffoldingExplore abstract methods to maintain data consistencyClone objects using the prototype patternUse the adapter pattern to make incompatible interfaces compatibleEmploy the strategy pattern to dynamically choose an algorithmWho this book is for This Learning Path is specially designed for Python developers who want to build high-performance applications and learn about single core and multi-core programming, distributed concurrency, and Python design patterns. Some experience with Python programming language will help you get the most out of this Learning Path.
Embark on a journey to rediscover India's ancient wisdom for a healthier, more fulfilling life. From Mahatma Gandhi's simple lifestyle to the medicinal power of ancient coins, uncover forgotten treasures. Explore the transformative potential of neem leaves and the daily routine of dinacharya for well-being. Reconnect with India's health system, where good water, food, and air were vital. As modern medicine advances, ponder if we're losing touch with natural remedies. Amid progress, reflect on trading simplicity for complexity and nature for convenience. Unravel the mysteries of the past for a balanced existence. Before tradition fades, embrace ancestral wisdom through this guide to reclaiming age-old practices for vitality and abundance.
The technological advances of the past century have been extraordinary, particularly in areas like information technology and artificial intelligence. These leaps can be traced back to the Age of Enlightenment, which emphasized reason and science over tradition. However, this period also gave rise to materialism, leading to the entrenchment of theories like Darwinian evolution in academia, despite mounting evidence to the contrary. This adherence to dogma has led to "scientism"—the overreach of science beyond its capabilities. True science should acknowledge its limits, remain open to evidence, and not suppress alternate perspectives. Science and Christianity are not incompatible; science reveals the complexity and design of God's creation, reflecting the innovation of the Divine Mind. Volume II explores significant trends in Science and Technology as "Burning Bushes," relating them to the Christian faith. It covers compelling topics such as Quantum Mechanics, Digital Transformation, Artificial Intelligence, DNA, and other evidential support challenging traditional Darwinian Evolution, the science of the Human Body, Transhumanism and Humanity 2.0, Decentralization and Web3 (including digital currencies and Bitcoin), and technological doomsday scenarios. Each chapter provides pragmatic, biblical, and actionable recommendations. The book aims to provide a holistic, scientifically sound, and biblically integrated perspective on emerging technologies' promises and challenges. It seeks to correct scientifically inconsistent approaches that sidestep Intelligent Design as well as purpose. By exploring these themes, the book offers a balanced view that acknowledges both the potential and perils of rapid technological advancement, grounded in a factual, meaningful, and scientifically grounded worldview.
Dr.B.Booba, Professor, Department of Information Technology, School of Computing Sciences, Vels Institute of Science, Technology and Advanced Studies, Pallavaram, Chennai, Tamil Nadu, India. Dr.X. Joshphin Jasaline Anitha, Assistant Professor, Department of BCA, The American College, Madurai, Tamil Nadu, India.
Examining nineteenth-century British hymns for children, Alisa Clapp-Itnyre argues that the unique qualities of children's hymnody created a space for children's empowerment. Unlike other literature of the era, hymn books were often compilations of many writers' hymns, presenting the discerning child with a multitude of perspectives on religion and childhood. In addition, the agency afforded children as singers meant that they were actively engaged with the text, music, and pictures of their hymnals. Clapp-Itnyre charts the history of children’s hymn-book publications from early to late nineteenth century, considering major denominational movements, the importance of musical tonality as it affected the popularity of hymns to both adults and children, and children’s reformation of adult society provided by such genres as missionary and temperance hymns. While hymn books appear to distinguish 'the child' from 'the adult', intricate issues of theology and poetry - typically kept within the domain of adulthood - were purposely conveyed to those of younger years and comprehension. Ultimately, Clapp-Itnyre shows how children's hymns complicate our understanding of the child-adult binary traditionally seen to be a hallmark of Victorian society. Intersecting with major aesthetic movements of the period, from the peaking of Victorian hymnody to the Golden Age of Illustration, children’s hymn books require scholarly attention to deepen our understanding of the complex aesthetic network for children and adults. Informed by extensive archival research, British Hymn Books for Children, 1800-1900 brings this understudied genre of Victorian culture to critical light.
e-book of PROGRAMMING IN C, BCA, First Semester for Three/Four Year Undergraduate Programme for University of Rajasthan, Jaipur Syllabus as per NEP (2020).
Free and compulsory education to all children up to the age of fourteen is a Constitutional commitment in India. At the time of adoption of the Constitution in 1950, the aim was to achieve the goal of Universal Elementary Education (UEE) within the next ten years. Keeping in view the educational facilities available in the country, at that time, the goal was far too ambitious to be achieved within a short span of ten years. Hence, the target date has to be shifted a number of times.
Find complete information about Second Life scripting and gain access to more than 50 previously unpublished ready-to-use scripts in Scripting Your World: The Official Guide to Second Life Scripting. Learn how to script Second Life behaviors, grouped into categories like avatar movement, communications, prim and object control, automation, land control, combat, special effects, environment control and physics, and interacting with the world outside of Second Life. After you read this engaging book, you will possess a solid understanding Linden Scripting Language conventions.
The 1960s saw the beginning of computer science as an academic field of study. The programming languages, compilers, and operating systems, as well as the mathematical theory that underpinned these fields, were the primary focuses of this course. Finite automata, regular expressions, context-free languages, and computability were some of the topics that were addressed in theoretical computer science courses. In the 1970s, the study of algorithms became an essential component of theory when it had previously been neglected. The goal was to find practical applications for computers. At this time, a significant shift is taking place, and more attention is being paid to the diverse range of applications. This shift came about for a variety of different causes. The convergence of computer and communication technologies has been a significant contributor to this change. Our current conception of data and how best to work with it in a contemporary environment has to be revised in light of recent advances in the capacity to monitor, collect, and store data in a variety of domains, including the natural sciences, business, and other areas. The rise of the internet and social networks as fundamental components of everyday life carries with it a wealth of theoretical possibilities as well as difficulties. Traditional subfields of computer science continue to hold a significant amount of weight in the field as a whole, but researchers of the future will focus more on how to use computers to comprehend and extract usable information from massive amounts of data arising from applications rather than how to make computers useful for solving particular problems in a well-defined manner. With this in mind, we have prepared this book to cover the theory that we anticipate will be important in the next 40 years, in the same way that a grasp of automata theory, algorithms, and other similar areas provided students an advantage in the previous 40 years. An increased focus on probability, statistical approaches, and numerical methods is one of the key shifts that has taken place. The book's early draughts have been assigned reading at a variety of academic levels, from undergraduate to graduate. The appendix contains the necessary background information for a course taken at the 1 | P a ge undergraduate level. Because of this, the appendix contains problems for your homework.
The Gospels are the life-transforming accounts of Jesus when He walked on this earth. They are fascinating, chronicling His sacrificial death and resurrection, powerful miracles, compassionate interactions, and authoritative teaching. But some things are difficult to understand at first glance. Like, what did Jesus mean when He said, “Have salt in yourselves, and be at peace with one another.” (Mark 9:50)? Or what did He mean when referring to a winnowing fork when discussing judgment? Or why do we have only four Gospels? Christopher Arulanand and Dr Santha Christopher have mined the depths of the Gospels to provide readers with deeper insights, answer their questions and expand their knowledge of the Gospels. They provide a rich cultural and literary background that sheds light on Jesus’ teachings and clarifies essential spiritual principles. All of this is done in an easy-to-read question-and-answer format. Find answers to your questions and ask new questions in this insightful resource from seasoned ministry leaders.
During his 25 years as a holistic practitioner and health expert on syndicated TV and radio, Dr. David Friedman has interviewed hundreds of world-renowned doctors and best-selling authors. From proponents of a Vegan, Paleo, Mediterranean Diet, Keto, to a Gluten Free and Low Carb Diet, the opinions are as different as night and day. After becoming frustrated with all the conflicting research and opinions, Dr. Friedman wrote Food Sanity, which explores all the fads, facts and fiction. Using a common science meets common sense approach, this groundbreaking book finally answers the question, what should we be eating? In this International award-winning, #1 best-selling book, Food Sanity shares never-before-heard nutritional and dieting advice that will ensure they get the maximum benefits from their food and dietary supplements. Unfortunately, people can’t solely rely on scientific studies because those can change, sometimes weekly. Plus, many of them are bought and paid for. Dr. Friedman breaks through the culinary conundrum and offers an easy to follow blueprint to getting healthy, losing weight and preventing disease.
The first book ever on the much maligned nettles of the world presents a story of these followers of mankind and his cattle throughout history. This study centres on the most abundant and sub-cosmopolitan common stinging nettle (Urtica dioica), but also deals with other nettles throughout the world. Tropical tormentors rich in species include the notorious nettle trees with their formidable stings which fascinated the Europeans after their discovery by botanists on the round-the-world trips of exploration in the 17-19th centuries. Many people on their travels will have met the nettle trees of the Indo-Malay region and other stinging nettles in North and South America, India, etc., which sting and have beautiful flowers but are called nettles; these are also dealt with. The first microscopists and their descriptions of the beautiful stinging hair; the uncovering of the mechanism of its action and the more recent elucidation of the toxins causing the characteristic symptoms is a fascinating one and takes up 3 chapters. The book includes the 100 major scientific works published on the common stinging nettle and never brought to the notice of the general public before. The author spent six years studying the ecology of the nettle patch, its invertebrate herbivores (mainly insects) and vertebrate herbivores (cattle, deer, etc.,) and their interactions with other plants: its secret life is recorded in line drawings and photographs (1000+ individual items). It was not possible to publish these in colour but they are in full colour on a CD-ROM (300 dpi) at the back of the book. Covered also are nettle folklore, fibre use in World War I & II, as a food, fodder, herbal medicine, growth as a competitor plant, habitats, sex (unique exploding stamens), breeding systems, variation, evolution etc.!! Some the world's most beautiful butterflies would not exist without nettles.
This book provides students with a comprehensive, current, and science-based introduction to nutrition concepts, guidelines, and functions. Its student-focused approach provides information about topics and issues that concern them -- a balanced diet, nutritional supplements, weight management, exercise, and much more. Throughout each chapter readers will engage with the latest dietary guidelines, scientific evidence, and national standards to help individuals follow a healthy dietary pattern at every life stage"--
Written for major and advanced non-major course offerings, Nutrition, Seventh Edition provides students with a comprehensive, current, and science-based introduction to nutrition concepts, guidelines, and functions. It's student-focused approach provides information about topics and issues that concern them -- a balanced diet, nutritional supplements, weight management, exercise, and much more. Throughout each chapter readers will engage with the latest dietary guidelines, scientific evidence, and national standards to help individuals follow a healthy dietary pattern at every life stage.
This volume is the first to illustrate the application of rhetorical theory and critical perspectives to explain public relations practices. It provides a systematic and coherent statement of the critical guidelines and philosophical underpinnings of public relations and as such should guide pedagogy and practice. It also supplies pedagogic and critical standards with which to meet the needs of an increasingly sophisticated society that tends to reject all of public relations as propaganda. With the enormous amount of money spent on product publicity and public policy debates, this book gives practitioners a sense of whether their public relations campaigns make a contribution to the organizational bottom line by means of achieving the timeless standards of the art of rhetoric.
Christian Personality Theory" unites a Judeo/Christian foundation with the best in theorizing about multi-dimensional human personhood. Refusing to settle for either reductionist psychology or simple-minded theology, Dan and Kate Montgomery deliver a biblical Trinitarian theology well integrated with clinical, developmental, and personality theory. The result is insight that can transform personality and relationships in wise and helpful ways. Laypersons, counselors, and clergy will appreciate this thoughtful work written in clear and practical prose. Praised by professors at Yale, Princeton, Stanford, Notre Dame, Fuller, Gordon Conwell, Andover Newton, and ORU, this book provides an incomparable resource for all interested in a uniquely Christian theory of personality.
This book will change your life. I know there are probably many authors that would use that phare to describe their book. However, in my case it is true. The information in this book will surprise and may even shock some people. But trust me it is all true and documented. I wrote this book because I wanted to share my love for God to as many people as possible. God has helped me through the writing of this book to make sure his message is given correctly.
Develop a strong foundation in Data Structures and Algorithms and become a skilled programmer KEY FEATURES ● Explore various data structures and algorithms and their applications. ● Learn how to use advanced data structures and algorithms to solve complex computational problems. ● An easy-to-understand guide that gives a comprehensive introduction to data structures and algorithms using the Python programming language. DESCRIPTION Data structures are a way of organizing and storing data in a computer so that it can be accessed and manipulated efficiently. If you want to become an accomplished programmer and master this subject, then this book is for you. The book starts by introducing you to the fascinating world of data structures and algorithms. This book will help you learn about different algorithmic techniques such as Dynamic programming, Greedy algorithms, and Backtracking, and their applications in solving various computational problems. The book will then teach you how to analyze the complexity of Recursive algorithms. Moving on, the book will help you get familiar with the concept of Linked lists, which is an important foundation for understanding other data structures, such as Stacks and Queues, which are covered in detail later in this book. The book will also teach you about advanced data structures such as Trees and Graphs, their different types, and their applications. Towards the end, the book will teach you how to use various Sorting, Searching Selection and String algorithms. By the end of the book, you will get a comprehensive and in-depth understanding of various data structures and algorithms and their applications in solving real-world computational problems efficiently. WHAT YOU WILL LEARN ● Get familiar with the fundamentals of data structures such as arrays, linked lists, stacks, and queues. ● Understand the basics of algorithm analysis and complexity theory. ● Explore different approaches to the algorithm design, such as divide-and-conquer, dynamic programming, and greedy algorithms. ● Work with common data structures such as arrays, linked lists, stacks, queues, trees, heaps, and graphs. ● Discover sorting and searching algorithms, including hash tables and string algorithms. WHO THIS BOOK IS FOR The book is aimed at Computer Science students, Software Engineers, and anyone interested in learning about data structures and algorithms TABLE OF CONTENTS 1. Introduction to Data Structures 2. Design Methodologies 3. Recursion 4. Arrays 5. Linked List 6. Stacks 7. Queues 8. Trees-I 9. Trees-II 10. Priority Queues 11. Graphs 12. Sorting 13. Median and Order Statistics 14. Hashing 15. String Matching Appendix 1: All Pairs Shortest Path Appendix 2: Tree Traversals Appendix 3: Dijkstra’s Shortest Path Algorithm Appendix 4: Supplementary Questions
A detailed plan for conquering the FEAR that sabotages swings and ruins psyches, from the pioneering psychologist whose techniques have benefited Davis Love III, Justin Leonard, and numerous other world-class golfers. As Jack Nicklaus once observed, fear is the golfer’s greatest enemy, inspiring Tiger Woods to "refuse" to give in to this debilitating emotion. It can turn professionals into jelly and dominate the games of most amateurs. It alters swing paths, causes “tap-in” putts to go awry, and transforms a golfer from a brilliant shot-maker on the practice range into an incompetent hack on the course. Most golfers understand this, but do not have the tools to overcome it. That’s where Dr. Gio Valiante comes in. A pioneering sports psychologist, Valiante has studied the sources of an athlete’s fear, investigated the physiological and neurological impact of fear on performance, and, most important of all, developed a groundbreaking program for conquering it. With Valiante's help and by applying Fearless Golf, Justin Leonard went from three consecutive missed cuts to three consecutive top tens, and Chad Campbell recently moved from 98th in the world to 7th. Davis Love III went from zero wins in 2002 to four wins in 2003, and Chris DiMarco made the 2004 Ryder Cup Team. Emphasizing the need to replace a fixation-on-results with a commitment to mastery of one’s body and one's mind, Valiante’s approach will not only help golfers reach their true potential, it will make playing every round fun again. Through concrete confidence and mastery drills, he presents specific ways readers can break free of fear’s grasp and perform at their best—even under the most extreme pressure. With detailed quotes and anecdotes given exclusively to Dr. Valiante from the best players in the game—including Jack Nicklaus, Ernie Els, and other tour professionals, Fearless Golf is the ultimate guide to the mental game, the hottest topic in golf today.
The pioneering memory technique taught in this book removes the major obstacle to learning modern Mandarin Chinese: how to remember the meanings of more than 2,000 of the most common of traditional Chinese characters--enough to read more than 96 percent of the characters in almost any Chinese text. The lessons included here will help to learn new definitions at a breakneck pace, build up new characters using characters already learned, develop memory tricks to associate meanings with these characters, and fix meanings and characters forever in the mind. This unique manual provides a sure-fire way to master the most challenging and intimidating aspect of learning Chinese, vital for any student of the Chinese language.
DESCRIPTION Our book is divided into several useful concepts and techniques of machine learning. This book serves as a valuable resource for individuals seeking to deepen their understanding of advanced topics in this field. Learn about various learning algorithms, including supervised, unsupervised, and reinforcement learning, and their mathematical foundations. Discover the significance of feature engineering and selection for enhancing model performance. Understand model evaluation metrics like accuracy, precision, recall, and F1-score, along with techniques like cross-validation and grid search for model selection. Explore ensemble learning methods along with deep learning, unsupervised learning, time series analysis, and reinforcement learning techniques. Lastly, uncover real-world applications of the machine and deep learning algorithms. After reading this book, readers will gain a comprehensive understanding of machine learning fundamentals and advanced techniques. With this knowledge, readers will be equipped to tackle real-world problems, make informed decisions, and develop innovative solutions using machine and deep learning algorithms. KEY FEATURES ● Basic understanding of machine learning algorithms via MATLAB, R, and Python. ● Inclusion of examples related to real-world problems, case studies, and questions related to futuristic technologies. ● Adding futuristic technologies related to machine learning and deep learning. WHAT YOU WILL LEARN ● Ability to tackle complex machine learning problems. ● Understanding of foundations, algorithms, ethical issues, and how to implement each learning algorithm for their own use/ with their data. ● Efficient data analysis for real-time data will be understood by researchers/ students. ● Using data analysis in near future topics and cutting-edge technologies. WHO THIS BOOK IS FOR This book is ideal for students, professors, and researchers. It equips industry experts and academics with the technical know-how and practical implementations of machine learning algorithms. TABLE OF CONTENTS 1. Introduction to Machine Learning 2. Statistical Analysis 3. Linear Regression 4. Logistic Regression 5. Decision Trees 6. Random Forest 7. Rule-Based Classifiers 8. Naïve Bayesian Classifier 9. K-Nearest Neighbors Classifiers 10. Support Vector Machine 11. K-Means Clustering 12. Dimensionality Reduction 13. Association Rules Mining and FP Growth 14. Reinforcement Learning 15. Applications of ML Algorithms 16. Applications of Deep Learning 17. Advance Topics and Future Directions
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