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Book Synopsis Flowchart and Algorithm Basics by : A. B. Chaudhuri
Download or read book Flowchart and Algorithm Basics written by A. B. Chaudhuri and published by . This book was released on 2020-07-15 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed to equip the reader with all of the best followed, efficient,well-structured program logics in the form of flowcharts and algorithms. The basicpurpose of flowcharting is to create the sequence of steps for showing the solution to problems through arithmetic and/or logical manipulations used to instruct computers. The applied and illustrative examples from different subject areas will definitely encourage readers to learn the logic leading to solid programming basics. Features: * Uses flowcharts and algorithms to solve problems from everyday applications, teaching the logic needed for the creation of computer instructions * Covers arrays, looping, file processing, etc.
Book Synopsis Algorithm & Flowchart by : Udayakumar G.Kulkarni
Download or read book Algorithm & Flowchart written by Udayakumar G.Kulkarni and published by Udayakumar.G.Kulkarni. This book was released on 2022-09-18 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: This document has been prepared for students who are designing program for any language.
Book Synopsis The Art of Programming Through Flowcharts & Algorithms by : Anil Bikas Chaudhuri
Download or read book The Art of Programming Through Flowcharts & Algorithms written by Anil Bikas Chaudhuri and published by Firewall Media. This book was released on 2005-12 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Flowchart and Algorithm Basics by : A. B. Chaudhuri
Download or read book Flowchart and Algorithm Basics written by A. B. Chaudhuri and published by Mercury Learning and Information. This book was released on 2020-06-24 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed to equip the reader with all of the best followed, efficient, well-structured program logics in the form of flowcharts and algorithms. The basic purpose of flowcharting is to create the sequence of steps for showing the solution to problems through arithmetic and/or logical manipulations used to instruct computers. The applied and illustrative examples from different subject areas will definitely encourage readers to learn the logic leading to solid programming basics. Features: Uses flowcharts and algorithms to solve problems from everyday applications, teaching the logic needed for the creation of computer instructions Covers arrays, looping, file processing, etc.
Book Synopsis Mastering Machine Learning with R by : Cory Lesmeister
Download or read book Mastering Machine Learning with R written by Cory Lesmeister and published by Packt Publishing Ltd. This book was released on 2015-10-28 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master machine learning techniques with R to deliver insights for complex projects About This Book Get to grips with the application of Machine Learning methods using an extensive set of R packages Understand the benefits and potential pitfalls of using machine learning methods Implement the numerous powerful features offered by R with this comprehensive guide to building an independent R-based ML system Who This Book Is For If you want to learn how to use R's machine learning capabilities to solve complex business problems, then this book is for you. Some experience with R and a working knowledge of basic statistical or machine learning will prove helpful. What You Will Learn Gain deep insights to learn the applications of machine learning tools to the industry Manipulate data in R efficiently to prepare it for analysis Master the skill of recognizing techniques for effective visualization of data Understand why and how to create test and training data sets for analysis Familiarize yourself with fundamental learning methods such as linear and logistic regression Comprehend advanced learning methods such as support vector machines Realize why and how to apply unsupervised learning methods In Detail Machine learning is a field of Artificial Intelligence to build systems that learn from data. Given the growing prominence of R—a cross-platform, zero-cost statistical programming environment—there has never been a better time to start applying machine learning to your data. The book starts with introduction to Cross-Industry Standard Process for Data Mining. It takes you through Multivariate Regression in detail. Moving on, you will also address Classification and Regression trees. You will learn a couple of “Unsupervised techniques”. Finally, the book will walk you through text analysis and time series. The book will deliver practical and real-world solutions to problems and variety of tasks such as complex recommendation systems. By the end of this book, you will gain expertise in performing R machine learning and will be able to build complex ML projects using R and its packages. Style and approach This is a book explains complicated concepts with easy to follow theory and real-world, practical applications. It demonstrates the power of R and machine learning extensively while highlighting the constraints.
Book Synopsis Secondary Analysis of Electronic Health Records by : MIT Critical Data
Download or read book Secondary Analysis of Electronic Health Records written by MIT Critical Data and published by Springer. This book was released on 2016-09-09 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients. Diagnostic and therapeutic technologies continue to evolve rapidly, and both individual practitioners and clinical teams face increasingly complex ethical decisions. Unfortunately, the current state of medical knowledge does not provide the guidance to make the majority of clinical decisions on the basis of evidence. The present research infrastructure is inefficient and frequently produces unreliable results that cannot be replicated. Even randomized controlled trials (RCTs), the traditional gold standards of the research reliability hierarchy, are not without limitations. They can be costly, labor intensive, and slow, and can return results that are seldom generalizable to every patient population. Furthermore, many pertinent but unresolved clinical and medical systems issues do not seem to have attracted the interest of the research enterprise, which has come to focus instead on cellular and molecular investigations and single-agent (e.g., a drug or device) effects. For clinicians, the end result is a bit of a “data desert” when it comes to making decisions. The new research infrastructure proposed in this book will help the medical profession to make ethically sound and well informed decisions for their patients.
Book Synopsis Computer Science Programming Basics in Ruby by : Ophir Frieder
Download or read book Computer Science Programming Basics in Ruby written by Ophir Frieder and published by "O'Reilly Media, Inc.". This book was released on 2013-04-18 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you know basic high-school math, you can quickly learn and apply the core concepts of computer science with this concise, hands-on book. Led by a team of experts, you’ll quickly understand the difference between computer science and computer programming, and you’ll learn how algorithms help you solve computing problems. Each chapter builds on material introduced earlier in the book, so you can master one core building block before moving on to the next. You’ll explore fundamental topics such as loops, arrays, objects, and classes, using the easy-to-learn Ruby programming language. Then you’ll put everything together in the last chapter by programming a simple game of tic-tac-toe. Learn how to write algorithms to solve real-world problems Understand the basics of computer architecture Examine the basic tools of a programming language Explore sequential, conditional, and loop programming structures Understand how the array data structure organizes storage Use searching techniques and comparison-based sorting algorithms Learn about objects, including how to build your own Discover how objects can be created from other objects Manipulate files and use their data in your software
Book Synopsis Learn Data Structures and Algorithms with Golang by : Bhagvan Kommadi
Download or read book Learn Data Structures and Algorithms with Golang written by Bhagvan Kommadi and published by Packt Publishing Ltd. This book was released on 2019-03-30 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore Golang's data structures and algorithms to design, implement, and analyze code in the professional setting Key FeaturesLearn the basics of data structures and algorithms and implement them efficientlyUse data structures such as arrays, stacks, trees, lists and graphs in real-world scenariosCompare the complexity of different algorithms and data structures for improved code performanceBook Description Golang is one of the fastest growing programming languages in the software industry. Its speed, simplicity, and reliability make it the perfect choice for building robust applications. This brings the need to have a solid foundation in data structures and algorithms with Go so as to build scalable applications. Complete with hands-on tutorials, this book will guide you in using the best data structures and algorithms for problem solving. The book begins with an introduction to Go data structures and algorithms. You'll learn how to store data using linked lists, arrays, stacks, and queues. Moving ahead, you'll discover how to implement sorting and searching algorithms, followed by binary search trees. This book will also help you improve the performance of your applications by stringing data types and implementing hash structures in algorithm design. Finally, you'll be able to apply traditional data structures to solve real-world problems. By the end of the book, you'll have become adept at implementing classic data structures and algorithms in Go, propelling you to become a confident Go programmer. What you will learnImprove application performance using the most suitable data structure and algorithmExplore the wide range of classic algorithms such as recursion and hashing algorithmsWork with algorithms such as garbage collection for efficient memory management Analyze the cost and benefit trade-off to identify algorithms and data structures for problem solvingExplore techniques for writing pseudocode algorithm and ace whiteboard coding in interviewsDiscover the pitfalls in selecting data structures and algorithms by predicting their speed and efficiencyWho this book is for This book is for developers who want to understand how to select the best data structures and algorithms that will help solve coding problems. Basic Go programming experience will be an added advantage.
Book Synopsis Psychopharmacology Algorithms by : David Osser
Download or read book Psychopharmacology Algorithms written by David Osser and published by Lippincott Williams & Wilkins. This book was released on 2020-09-22 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithms serve an important purpose in the field of psychopharmacology as heuristics for avoiding the biases and cognitive lapses that are common when prescribing for many conditions whose treatment is based on complex data. Unique in the field, this title compiles twelve papers from the Psychopharmacology Algorithm Project at the Harvard South Shore Psychiatry Residency Training Program and presents practical ways to adopt evidence-based practices into the day-to-day treatment of patients. Psychopharmacology Algorithms is a useful resource for practicing psychiatrists, residents, and fellows, as well as psychiatric nurse practitioners, psychiatric physician assistants who prescribe, advanced practice pharmacists who prescribe, and primary care clinicians. Teachers of psychopharmacology may find it particularly valuable. Researchers in clinical psychopharmacology may find it helpful in identifying important practice areas that are in need of further study.
Book Synopsis Understanding Algorithms and Flowcharts by : Luciano Manelli
Download or read book Understanding Algorithms and Flowcharts written by Luciano Manelli and published by CreateSpace. This book was released on 2015-09-01 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a condensed version of Chapter III (Algorithms & Programming Languages) from the book "Fundamentals of Modern Information Technology" (Italian Edition). This book has been written primarily for students, but also for the professional, and it can serve as a starting point for anyone who is beginning the study of computer science and information systems for the first time. In the following text, algorithms and flowcharts are analyzed accurately, with clear examples, and with the implementation in C code, both elementary and complex algorithms are studied. Data types (simple and structured) are initially introduced, and algorithms and flowcharts are defined and illustrated with graphical and textual explanations. In the next sections, simple and complex standard algorithms with their flowcharts are studied: everything is integrated with explanations and tables to have a step by step evolution of the algorithms. The main analyzed algorithms are: the sum of three or n numbers in a loop, the maximum and minimum search, the linear/sequential search, the binary search, the bubble sort, the selection sort, the merging of two sorted arrays, and the reading chars from file algorithm. The last section of the text is devoted to the introduction of the C language and the implementation of the code, which is connected to the studied algorithms.
Book Synopsis Pediatric Surgery, Flowcharts and Clinical Algorithms by : Sameh Shehata
Download or read book Pediatric Surgery, Flowcharts and Clinical Algorithms written by Sameh Shehata and published by BoD – Books on Demand. This book was released on 2019-12-04 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pediatric Surgery, Flowcharts and Clinical Algorithms is an updated review of some common pediatric surgical problems. The authors of the chapters have made a full review of the selected topics including the basic science facts necessary for the proper understanding of conditions (anatomy, physiology and embryology), such as gastrointestinal disorders, abdominal wall defects, choledochal cysts, and others, with special emphasis on antenatal diagnosis and management.A flow chart (or management algorithm) is included to facilitate decision making in choice of the proper diagnostic tools or the most efficient surgical (or non-surgical) strategy.The book is intended for pediatric surgeons, pediatricians, and researchers in any of the topics included.
Book Synopsis DATA STRUCTURE AND ALGORITHM THROUGH C by : Brijesh Bakariya
Download or read book DATA STRUCTURE AND ALGORITHM THROUGH C written by Brijesh Bakariya and published by BPB Publications. This book was released on 2018-06-04 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: DESCRIPTIONThis book is specially designed to serve as the textbook for the students of various streams such as PGDCA, B.Tech. /B.E., BCA, BSc M.Tech. /M.E., MCA, MS and cover all the topics of Data Structure. The subject data structure is of prime importance for the students of Computer Science and IT. It is the practical approach to understanding the basics and concepts of the data structure. All the concepts are implemented in C language in an easy manner. To make clarity on the topic, diagrams, examples, and programs are given throughout the book. KEY FEATURESThis book is specially designed for beginners, explains all basics and concepts about data structure. The source code of all data structures is given in C language.Important data structures like Stack, Queue, Linked List, Tree, and Graph are well explained.Solved example, frequently asked in the examinations are given which will serve as a useful reference source. Effective description of sorting algorithm (Quick Sort, Heap Sort, Merge Sort etc.)CD contains all programming codes in 'C'.CONTENTS Algorithm and Flow ChartsAlgorithm AnalysisData structureFunctions and RecursionArrays and PointersStringStacksQueuesLinked ListsTreesGraphsHashing and Sorting CD Contains all Programming codes in 'C'
Book Synopsis Fundamentals of Computer by : Sunil Chauhan
Download or read book Fundamentals of Computer written by Sunil Chauhan and published by Firewall Media. This book was released on 2006-04 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Hands-On Artificial Intelligence for Search by : Devangini Patel
Download or read book Hands-On Artificial Intelligence for Search written by Devangini Patel and published by Packt Publishing Ltd. This book was released on 2018-08-30 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: Make your searches more responsive and smarter by applying Artificial Intelligence to it Key Features Enter the world of Artificial Intelligence with solid concepts and real-world use cases Make your applications intelligent using AI in your day-to-day apps and become a smart developer Design and implement artificial intelligence in searches Book Description With the emergence of big data and modern technologies, AI has acquired a lot of relevance in many domains. The increase in demand for automation has generated many applications for AI in fields such as robotics, predictive analytics, finance, and more. In this book, you will understand what artificial intelligence is. It explains in detail basic search methods: Depth-First Search (DFS), Breadth-First Search (BFS), and A* Search, which can be used to make intelligent decisions when the initial state, end state, and possible actions are known. Random solutions or greedy solutions can be found for such problems. But these are not optimal in either space or time and efficient approaches in time and space will be explored. We will also understand how to formulate a problem, which involves looking at it and identifying its initial state, goal state, and the actions that are possible in each state. We also need to understand the data structures involved while implementing these search algorithms as they form the basis of search exploration. Finally, we will look into what a heuristic is as this decides the quality of one sub-solution over another and helps you decide which step to take. What you will learn Understand the instances where searches can be used Understand the algorithms that can be used to make decisions more intelligent Formulate a problem by specifying its initial state, goal state, and actions Translate the concepts of the selected search algorithm into code Compare how basic search algorithms will perform for the application Implement algorithmic programming using code examples Who this book is for This book is for developers who are keen to get started with Artificial Intelligence and develop practical AI-based applications. Those developers who want to upgrade their normal applications to smart and intelligent versions will find this book useful. A basic knowledge and understanding of Python are assumed.
Book Synopsis Algorithmic Problem Solving by : Roland Backhouse
Download or read book Algorithmic Problem Solving written by Roland Backhouse and published by John Wiley & Sons. This book was released on 2011-10-24 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: An entertaining and captivating way to learn the fundamentals of using algorithms to solve problems The algorithmic approach to solving problems in computer technology is an essential tool. With this unique book, algorithm guru Roland Backhouse shares his four decades of experience to teach the fundamental principles of using algorithms to solve problems. Using fun and well-known puzzles to gradually introduce different aspects of algorithms in mathematics and computing. Backhouse presents you with a readable, entertaining, and energetic book that will motivate and challenge you to open your mind to the algorithmic nature of problem solving. Provides a novel approach to the mathematics of problem solving focusing on the algorithmic nature of problem solving Uses popular and entertaining puzzles to teach you different aspects of using algorithms to solve mathematical and computing challenges Features a theory section that supports each of the puzzles presented throughout the book Assumes only an elementary understanding of mathematics Let Roland Backhouse and his four decades of experience show you how you can solve challenging problems with algorithms!
Book Synopsis Algorithms for Optimization by : Mykel J. Kochenderfer
Download or read book Algorithms for Optimization written by Mykel J. Kochenderfer and published by MIT Press. This book was released on 2019-03-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to optimization with a focus on practical algorithms for the design of engineering systems. This book offers a comprehensive introduction to optimization with a focus on practical algorithms. The book approaches optimization from an engineering perspective, where the objective is to design a system that optimizes a set of metrics subject to constraints. Readers will learn about computational approaches for a range of challenges, including searching high-dimensional spaces, handling problems where there are multiple competing objectives, and accommodating uncertainty in the metrics. Figures, examples, and exercises convey the intuition behind the mathematical approaches. The text provides concrete implementations in the Julia programming language. Topics covered include derivatives and their generalization to multiple dimensions; local descent and first- and second-order methods that inform local descent; stochastic methods, which introduce randomness into the optimization process; linear constrained optimization, when both the objective function and the constraints are linear; surrogate models, probabilistic surrogate models, and using probabilistic surrogate models to guide optimization; optimization under uncertainty; uncertainty propagation; expression optimization; and multidisciplinary design optimization. Appendixes offer an introduction to the Julia language, test functions for evaluating algorithm performance, and mathematical concepts used in the derivation and analysis of the optimization methods discussed in the text. The book can be used by advanced undergraduates and graduate students in mathematics, statistics, computer science, any engineering field, (including electrical engineering and aerospace engineering), and operations research, and as a reference for professionals.
Book Synopsis Programming Fundamentals by : Kenneth Leroy Busbee
Download or read book Programming Fundamentals written by Kenneth Leroy Busbee and published by . This book was released on 2018-01-07 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Programming Fundamentals - A Modular Structured Approach using C++ is written by Kenneth Leroy Busbee, a faculty member at Houston Community College in Houston, Texas. The materials used in this textbook/collection were developed by the author and others as independent modules for publication within the Connexions environment. Programming fundamentals are often divided into three college courses: Modular/Structured, Object Oriented and Data Structures. This textbook/collection covers the rest of those three courses.
