Build Your Algorithm Skills

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Build Your Algorithm Skills

Author : Christopher Harris
ISBN : 9781978510753
Genre : Juvenile Nonfiction
File Size : 29.65 MB
Format : PDF, ePub, Docs
Download : 198
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From the simplest applications to the largest networking centers, algorithms are the heartbeat of computer science. The beauty of computers is their ability to automate processes, and algorithms are the tools coders use to make that possible. They employ core computational thinking skills, including logic and problem solving to make software tick. Through a series of thoughtful activities, readers will learn what algorithms are, what they are used for, and how to make their own algorithms using pseudocode and flowcharts. These interactive, game-like projects provide an accessible path to understanding algorithms, even with little or no computer science experience.
Category: Juvenile Nonfiction

Build Your Computer Security Skills

Author : Adam Furgang
ISBN : 9781978510661
Genre : Juvenile Nonfiction
File Size : 76.68 MB
Format : PDF, Mobi
Download : 390
Read : 790

Computers have become enmeshed in almost every aspect of modern life. While this development has made our lives easier and more convenient, it also opens us up to all sorts of security risks. The dozen activities in this volume emphasize the importance of computer security and delve into the steps that both coders and ordinary users of technology can take to improve their computer security. Individual activities explore topics such as encryption, coming up with secure passwords, two-step verification, phishing, and fingerprint identification.
Category: Juvenile Nonfiction

Learn Data Structures And Algorithms With Golang

Author : Bhagvan Kommadi
ISBN : 9781789618419
Genre : Computers
File Size : 59.53 MB
Format : PDF, Docs
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Explore Golang's data structures and algorithms to design, implement, and analyze code in the professional setting Key Features Learn the basics of data structures and algorithms and implement them efficiently Use data structures such as arrays, stacks, trees, lists and graphs in real-world scenarios Compare the complexity of different algorithms and data structures for improved code performance Book 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 learn Improve application performance using the most suitable data structure and algorithm Explore the wide range of classic algorithms such as recursion and hashing algorithms Work 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 solving Explore techniques for writing pseudocode algorithm and ace whiteboard coding in interviews Discover the pitfalls in selecting data structures and algorithms by predicting their speed and efficiency Who 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.
Category: Computers

Beginning Vb Net

Author : Richard Blair
ISBN : 9780764558696
Genre : Computers
File Size : 27.15 MB
Format : PDF
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What is this book about? Visual Basic .NET is the latest version of the most widely used programming language in the world, popular with professional developers and complete beginners alike. This book will teach you Visual Basic .NET from first principles. You'll quickly and easily learn how to write Visual Basic .NET code and create attractive windows and forms for the users of your applications. To get you started on the road to professional development, you'll also learn about object-oriented programming, creating your own controls, working with databases, creating menus, and working with graphics. This second edition has been thoroughly tested on the full release version of .NET. The book is written in the proven Wrox beginning style with clear explanations and plenty of code samples. Every new concept is explained thoroughly with Try It Out examples and there are end-of-chapter questions to test yourself. What does this book cover? In this book, you will learn how to Install Visual Basic .NET Write Visual Basic .NET code Understand what the .NET Framework is and why it's important Control the flow through your application with loops and branching structures Create useful windows and screens Create your own menus Gain a complete understanding of object-oriented programming Work with graphics Create your own controls Access databases with ADO.NET Create applications for the Web Who is this book for? This book is aimed at readers who wish to learn to program using Visual Basic .NET. It assumes you have no prior experience of programming, but moves at a fast enough pace to be interesting if you have programmed in another language.
Category: Computers

Exam Ref 70 774 Perform Cloud Data Science With Azure Machine Learning

Author : Ginger Grant
ISBN : 9780134849683
Genre : Computers
File Size : 42.12 MB
Format : PDF, ePub
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Prepare for Microsoft Exam 70-774–and help demonstrate your real-world mastery of performing key data science activities with Azure Machine Learning services. Designed for experienced IT professionals ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: Prepare data for analysis in Azure Machine Learning and export from Azure Machine Learning Develop machine learning models Operationalize and manage Azure Machine Learning Services Use other services for machine learning This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you are familiar with Azure data services, machine learning concepts, and common data science processes About the Exam Exam 70-774 focuses on skills and knowledge needed to prepare data for analysis with Azure Machine Learning; find key variables describing your data’s behavior; develop models and identify optimal algorithms; train, validate, deploy, manage, and consume Azure Machine Learning Models; and leverage related services and APIs. About Microsoft Certification Passing this exam as well as Exam 70-773: Analyzing Big Data with Microsoft R earns your MCSA: Machine Learning certifi¿cation, demonstrating your expertise in operationalizing Microsoft Azure machine learning and Big Data with R Server and SQL R Services. See full details at:
Category: Computers

Build Your Debugging Skills

Author : Kathy Furgang
ISBN : 9781978510692
Genre : Juvenile Nonfiction
File Size : 85.65 MB
Format : PDF
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A single error in a line of code can cause a computer program to go haywire or stop working entirely. Luckily coding has a process for dealing with errors: debugging. Debugging consists of finding and fixing errors in code. You don't have to work as a coder to develop your debugging skills, though. The simple activities in this book help readers develop their logic skills and an eagle eye for spotting errors, both of which are indispensible in coding and helpful in many other areas as well.
Category: Juvenile Nonfiction

Beginning Java Data Structures And Algorithms

Author : James Cutajar
ISBN : 9781789533750
Genre : Computers
File Size : 72.41 MB
Format : PDF, Docs
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Though your application serves its purpose, it might not be a high performer. Learn techniques to accurately predict code efficiency, easily dismiss inefficient solutions, and improve the performance of your application. Key Features Explains in detail different algorithms and data structures with sample problems and Java implementations where appropriate Includes interesting tips and tricks that enable you to efficiently use algorithms and data structures Covers over 20 topics using 15 practical activities and exercises Book Description Learning about data structures and algorithms gives you a better insight on how to solve common programming problems. Most of the problems faced everyday by programmers have been solved, tried, and tested. By knowing how these solutions work, you can ensure that you choose the right tool when you face these problems. This book teaches you tools that you can use to build efficient applications. It starts with an introduction to algorithms and big O notation, later explains bubble, merge, quicksort, and other popular programming patterns. You’ll also learn about data structures such as binary trees, hash tables, and graphs. The book progresses to advanced concepts, such as algorithm design paradigms and graph theory. By the end of the book, you will know how to correctly implement common algorithms and data structures within your applications. What you will learn Understand some of the fundamental concepts behind key algorithms Express space and time complexities using Big O notation. Correctly implement classic sorting algorithms such as merge and quicksort Correctly implement basic and complex data structures Learn about different algorithm design paradigms, such as greedy, divide and conquer, and dynamic programming Apply powerful string matching techniques and optimize your application logic Master graph representations and learn about different graph algorithms Who this book is for If you want to better understand common data structures and algorithms by following code examples in Java and improve your application efficiency, then this is the book for you. It helps to have basic knowledge of Java, mathematics and object-oriented programming techniques.
Category: Computers

Genetic Algorithms With Python

Author : Clinton Sheppard
ISBN : 1732029806
Genre : Genetic algorithms
File Size : 60.48 MB
Format : PDF, ePub
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Get a hands-on introduction to machine learning with genetic algorithms using Python. Genetic algorithms are one of the tools you can use to apply machine learning to finding good, sometimes even optimal, solutions to problems that have billions of potential solutions. This book gives you experience making genetic algorithms work for you, using easy-to-follow example projects that you can fall back upon when learning to use other machine learning tools and techniques. The step-by-step tutorials build your skills from Hello World! to optimizing one genetic algorithm with another, and finally genetic programming; thus preparing you to apply genetic algorithms to problems in your own field of expertise. Python is a high-level, low ceremony and powerful language whose code can be easily understood even by entry-level programmers. If you have experience with another programming language then you should have no difficulty learning Python by induction. Souce code: https: //
Category: Genetic algorithms

The Computer Vision Workshop

Author : Hafsa Asad
ISBN : 9781800207141
Genre : Computers
File Size : 50.62 MB
Format : PDF, ePub
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Explore the potential of deep learning techniques in computer vision applications using the Python ecosystem, and build real-time systems for detecting human behavior Key Features Understand OpenCV and select the right algorithm to solve real-world problems Discover techniques for image and video processing Learn how to apply face recognition in videos to automatically extract key information Book Description Computer Vision (CV) has become an important aspect of AI technology. From driverless cars to medical diagnostics and monitoring the health of crops to fraud detection in banking, computer vision is used across all domains to automate tasks. The Computer Vision Workshop will help you understand how computers master the art of processing digital images and videos to mimic human activities. Starting with an introduction to the OpenCV library, you’ll learn how to write your first script using basic image processing operations. You’ll then get to grips with essential image and video processing techniques such as histograms, contours, and face processing. As you progress, you’ll become familiar with advanced computer vision and deep learning concepts, such as object detection, tracking, and recognition, and finally shift your focus from 2D to 3D visualization. This CV course will enable you to experiment with camera calibration and explore both passive and active canonical 3D reconstruction methods. By the end of this book, you’ll have developed the practical skills necessary for building powerful applications to solve computer vision problems. What you will learn Access and manipulate pixels in OpenCV using BGR and grayscale images Create histograms to better understand image content Use contours for shape analysis, object detection, and recognition Track objects in videos using a variety of trackers available in OpenCV Discover how to apply face recognition tasks using computer vision techniques Visualize 3D objects in point clouds and polygon meshes using Open3D Who this book is for If you are a researcher, developer, or data scientist looking to automate everyday tasks using computer vision, this workshop is for you. A basic understanding of Python and deep learning will help you to get the most out of this workshop.
Category: Computers

Pro Machine Learning Algorithms

Author : V Kishore Ayyadevara
ISBN : 9781484235645
Genre : Computers
File Size : 80.5 MB
Format : PDF, ePub
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Bridge the gap between a high-level understanding of how an algorithm works and knowing the nuts and bolts to tune your models better. This book will give you the confidence and skills when developing all the major machine learning models. In Pro Machine Learning Algorithms, you will first develop the algorithm in Excel so that you get a practical understanding of all the levers that can be tuned in a model, before implementing the models in Python/R. You will cover all the major algorithms: supervised and unsupervised learning, which include linear/logistic regression; k-means clustering; PCA; recommender system; decision tree; random forest; GBM; and neural networks. You will also be exposed to the latest in deep learning through CNNs, RNNs, and word2vec for text mining. You will be learning not only the algorithms, but also the concepts of feature engineering to maximize the performance of a model. You will see the theory along with case studies, such as sentiment classification, fraud detection, recommender systems, and image recognition, so that you get the best of both theory and practice for the vast majority of the machine learning algorithms used in industry. Along with learning the algorithms, you will also be exposed to running machine-learning models on all the major cloud service providers. You are expected to have minimal knowledge of statistics/software programming and by the end of this book you should be able to work on a machine learning project with confidence. What You Will Learn Get an in-depth understanding of all the major machine learning and deep learning algorithms Fully appreciate the pitfalls to avoid while building models Implement machine learning algorithms in the cloud Follow a hands-on approach through case studies for each algorithm Gain the tricks of ensemble learning to build more accurate models Discover the basics of programming in R/Python and the Keras framework for deep learning Who This Book Is For Business analysts/ IT professionals who want to transition into data science roles. Data scientists who want to solidify their knowledge in machine learning.
Category: Computers

Machine Learning With C

Author : Tom Joy
ISBN : OCLC:1137152697
Genre :
File Size : 53.97 MB
Format : PDF, ePub
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"This course will start off with a broad overview of ML and the varying methods associated with it. You will understand data types, Machine learning algorithms, and a simple classification task. We then study two simple but effective algorithms to deepen your understanding and provide some practical experience. Specifically, the two algorithms that we will be investigating are linear regression and K-means clustering. By taking this course, you will be able to get your machine Learning basics right and be able to build efficient algorithms which will help you to predict and cluster data."--Resource description page.

Beginning Visual Basic 2010

Author : Thearon Willis
ISBN : 9780470502228
Genre : Computers
File Size : 66.20 MB
Format : PDF
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This book is designed to teach you how to write useful programs in Visual Basic 2010 as quickly and easily as possible. There are two kinds of beginners for whom this book is ideal: You're a beginner to programming and you've chosen Visual Basic 2010 as the place to start. That's a great choice! Visual Basic 2010 is not only easy to learn, it's also fun to use and very powerful. You can program in another language but you're a beginner to .NET programming. Again, you've made a great choice! Whether you've come from Fortran or Visual Basic 6, you'll find that this book quickly gets you up to speed on what you need to know to get the most from Visual Basic 2010. Visual Basic 2010 offers a great deal of functionality in both tools and language. No one book could ever cover Visual Basic 2010 in its entirety—you would need a library of books. What this book aims to do is to get you started as quickly and easily as possible. It shows you the roadmap, so to speak, of what there is and where to go. Once we've taught you the basics of creating working applications (creating the windows and controls, how your code should handle unexpected events, what object-oriented programming is, how to use it in your applications, and so on) we’ll show you some of the areas you might want to try your hand at next: Chapters 1 through 9 provide an introduction to Visual Studio 2010 and Windows programming. These chapters will help you install the Visual Studio 2010 IDE you'll use to create Visual Basic 2010 applications and learn your way around the interface. You'll be introduced to the .NET Framework and the CLR (Common Language Runtime). You'll learn to use variables, data types, comments, methods, and control software flow with the If statement and loops. You'll work with data in arrays, enumerations, constants, structures, ArrayLists, Collections, and tables. Chapter 6 provides an introduction to XAML and Windows Presentation Foundation (WPF) programming. XAML and WPF are the most recent addition to how VB programmers create user interfaces for their applications. You'll also work with events, create toolbars, buttons, forms, display dialog boxes, and create menus. Chapter 10 provides an introduction to application debugging and error handling. Chapters 11 through 13 provide an introduction to object-oriented programming (OOP) and building objects. You'll use classes, learn about reusability, work with constructors and inheritance, and see .NET Framework classes and namespaces. You’ll learn to work with OOP memory management, class libraries, you'll register assemblies, and see how to use third party class libraries. Chapter 14 provides an introduction to creating Windows Forms user controls. While WPF user interfaces are newer, Windows forms are still in widespread use. You'll create and test controls and work with their properties. Chapters 15 and 16 provide an introduction to programming with databases and covers Access, SQL Server, and ADO.NET. The chapters walk you through the SQL SELECT statement, Access queries, data access components, and data binding. Chapters 17 and 18 provide an introduction to Dynamic Data Web Sites and ASP.NET and show you how to write applications for the Web. You'll work with the most current ASP.NET 4 web techniques in Visual Studio 2010. Chapter 19 provides a brief introduction to XML, a powerful tool for integrating your applications with others—regardless of the language they were written in. Chapter 20 introduces you to deploying applications using ClickOnce technology. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
Category: Computers

Hands On Neuroevolution With Python

Author : Iaroslav Omelianenko
ISBN : 9781838822002
Genre : Computers
File Size : 35.77 MB
Format : PDF, ePub, Mobi
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Increase the performance of various neural network architectures using NEAT, HyperNEAT, ES-HyperNEAT, Novelty Search, SAFE, and deep neuroevolution Key Features Implement neuroevolution algorithms to improve the performance of neural network architectures Understand evolutionary algorithms and neuroevolution methods with real-world examples Learn essential neuroevolution concepts and how they are used in domains including games, robotics, and simulations Book Description Neuroevolution is a form of artificial intelligence learning that uses evolutionary algorithms to simplify the process of solving complex tasks in domains such as games, robotics, and the simulation of natural processes. This book will give you comprehensive insights into essential neuroevolution concepts and equip you with the skills you need to apply neuroevolution-based algorithms to solve practical, real-world problems. You'll start with learning the key neuroevolution concepts and methods by writing code with Python. You'll also get hands-on experience with popular Python libraries and cover examples of classical reinforcement learning, path planning for autonomous agents, and developing agents to autonomously play Atari games. Next, you'll learn to solve common and not-so-common challenges in natural computing using neuroevolution-based algorithms. Later, you'll understand how to apply neuroevolution strategies to existing neural network designs to improve training and inference performance. Finally, you'll gain clear insights into the topology of neural networks and how neuroevolution allows you to develop complex networks, starting with simple ones. By the end of this book, you will not only have explored existing neuroevolution-based algorithms, but also have the skills you need to apply them in your research and work assignments. What you will learn Discover the most popular neuroevolution algorithms – NEAT, HyperNEAT, and ES-HyperNEAT Explore how to implement neuroevolution-based algorithms in Python Get up to speed with advanced visualization tools to examine evolved neural network graphs Understand how to examine the results of experiments and analyze algorithm performance Delve into neuroevolution techniques to improve the performance of existing methods Apply deep neuroevolution to develop agents for playing Atari games Who this book is for This book is for machine learning practitioners, deep learning researchers, and AI enthusiasts who are looking to implement neuroevolution algorithms from scratch. Working knowledge of the Python programming language and basic knowledge of deep learning and neural networks are mandatory.
Category: Computers

Beginning Visual Basic Net

Author : Matthew Reynolds
ISBN : 1861004966
Genre : Computers
File Size : 40.96 MB
Format : PDF, Docs
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Explores Visual Basic programming fundamentals within the .NET framework--Microsoft's visionary development environment for the Web.
Category: Computers

Teaching Mathematics In Secondary And Middle School

Author : James S. Cangelosi
ISBN : UVA:X004707359
Genre : Education
File Size : 81.20 MB
Format : PDF, Docs
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Interactive in its approach, this book focuses on all the complex aspects of teaching mathematics in today's classroom and the most current NCTM standards. It illustrates how to creatively incorporate the standards into teaching along with inquiry-based instructional strategies. The book illustrates how to lead pupils toward meaningful mathematics and strategies for developing mathematics skills.Includes an abundance of illustrative examples, mini case studies, one expansive case study that follows a mathematics teacher through his first year in the profession, cooperative learning activities, field-based activities, and transitional activities. Reviews applying for faculty positions as a mathematics teacher, teaching math from a historical perspective, communication with math, working with students as individuals, working with ESL/EFL and integrating math with other content areas. Includes updated information with respect to the research literature, the publication of PSSM, and advances in technology.For educators teaching mathematics in secondary and middle school.
Category: Education

From Mathematics To Generic Programming

Author : Alexander A. Stepanov
ISBN : 9780133491784
Genre : Computers
File Size : 90.96 MB
Format : PDF, ePub
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In this substantive yet accessible book, pioneering software designer Alexander Stepanov and his colleague Daniel Rose illuminate the principles of generic programming and the mathematical concept of abstraction on which it is based, helping you write code that is both simpler and more powerful. If you’re a reasonably proficient programmer who can think logically, you have all the background you’ll need. Stepanov and Rose introduce the relevant abstract algebra and number theory with exceptional clarity. They carefully explain the problems mathematicians first needed to solve, and then show how these mathematical solutions translate to generic programming and the creation of more effective and elegant code. To demonstrate the crucial role these mathematical principles play in many modern applications, the authors show how to use these results and generalized algorithms to implement a real-world public-key cryptosystem. As you read this book, you’ll master the thought processes necessary for effective programming and learn how to generalize narrowly conceived algorithms to widen their usefulness without losing efficiency. You’ll also gain deep insight into the value of mathematics to programming—insight that will prove invaluable no matter what programming languages and paradigms you use. You will learn about How to generalize a four thousand-year-old algorithm, demonstrating indispensable lessons about clarity and efficiency Ancient paradoxes, beautiful theorems, and the productive tension between continuous and discrete A simple algorithm for finding greatest common divisor (GCD) and modern abstractions that build on it Powerful mathematical approaches to abstraction How abstract algebra provides the idea at the heart of generic programming Axioms, proofs, theories, and models: using mathematical techniques to organize knowledge about your algorithms and data structures Surprising subtleties of simple programming tasks and what you can learn from them How practical implementations can exploit theoretical knowledge
Category: Computers

Connected Mathematics

Author : Pearson/Prentice Hall
ISBN : 0131808435
Genre : Interdisciplinary approach in education
File Size : 57.32 MB
Format : PDF, Mobi
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Contains a complete sixth grade mathematics curriculum with connections to other subject areas.
Category: Interdisciplinary approach in education

Hands On Machine Learning With C

Author : Kirill Kolodiazhnyi
ISBN : 9781789952476
Genre : Computers
File Size : 21.16 MB
Format : PDF, Docs
Download : 484
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Implement supervised and unsupervised machine learning algorithms using C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib with the help of real-world examples and datasets Key Features Become familiar with data processing, performance measuring, and model selection using various C++ libraries Implement practical machine learning and deep learning techniques to build smart models Deploy machine learning models to work on mobile and embedded devices Book Description C++ can make your machine learning models run faster and more efficiently. This handy guide will help you learn the fundamentals of machine learning (ML), showing you how to use C++ libraries to get the most out of your data. This book makes machine learning with C++ for beginners easy with its example-based approach, demonstrating how to implement supervised and unsupervised ML algorithms through real-world examples. This book will get you hands-on with tuning and optimizing a model for different use cases, assisting you with model selection and the measurement of performance. You’ll cover techniques such as product recommendations, ensemble learning, and anomaly detection using modern C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib. Next, you’ll explore neural networks and deep learning using examples such as image classification and sentiment analysis, which will help you solve various problems. Later, you’ll learn how to handle production and deployment challenges on mobile and cloud platforms, before discovering how to export and import models using the ONNX format. By the end of this C++ book, you will have real-world machine learning and C++ knowledge, as well as the skills to use C++ to build powerful ML systems. What you will learn Explore how to load and preprocess various data types to suitable C++ data structures Employ key machine learning algorithms with various C++ libraries Understand the grid-search approach to find the best parameters for a machine learning model Implement an algorithm for filtering anomalies in user data using Gaussian distribution Improve collaborative filtering to deal with dynamic user preferences Use C++ libraries and APIs to manage model structures and parameters Implement a C++ program to solve image classification tasks with LeNet architecture Who this book is for You will find this C++ machine learning book useful if you want to get started with machine learning algorithms and techniques using the popular C++ language. As well as being a useful first course in machine learning with C++, this book will also appeal to data analysts, data scientists, and machine learning developers who are looking to implement different machine learning models in production using varied datasets and examples. Working knowledge of the C++ programming language is mandatory to get started with this book.
Category: Computers

Hands On Data Structures And Algorithms With Javascript

Author : Kashyap Mukkamala
ISBN : 9781788397544
Genre : Computers
File Size : 54.95 MB
Format : PDF, ePub
Download : 258
Read : 1278

Increase your productivity by implementing complex data structures and algorithms using JavaScript Key Features A step by step guide, which will provide you with a thorough discussion on the analysis and design of fundamental JavaScript data structures Get a better understanding of advanced concepts such as space and time complexity to optimize your code Focus more on solving the business problem and less on the technical challenges involved Book Description Data structures and algorithms are the fundamental building blocks of computer programming. They are critical to any problem, provide a complete solution, and act like reusable code. Using appropriate data structures and having a good understanding of algorithm analysis are key in JavaScript to solving crises and ensuring your application is less prone to errors. Do you want to build applications that are high-performing and fast? Are you looking for complete solutions to implement complex data structures and algorithms in a practical way? If either of these questions rings a bell, then this book is for you! You'll start by building stacks and understanding performance and memory implications. You will learn how to pick the right type of queue for the application. You will then use sets, maps, trees, and graphs to simplify complex applications. You will learn to implement different types of sorting algorithm before gradually calculating and analyzing space and time complexity. Finally, you'll increase the performance of your application using micro optimizations and memory management. By the end of the book you will have gained the skills and expertise necessary to create and employ various data structures in a way that is demanded by your project or use case. What you will learn Build custom Back buttons embedded within your application Build part of a basic JavaScript syntax parser and evaluator for an online IDE Build a custom activity user tracker for your application Generate accurate recommendations for credit card approval using Decision Trees Simplify complex problems using a graphs Increase the performance of an application using micro-optimizations Who this book is for If you are a JavaScript developer looking for practical examples to implement data structures and algorithms in your web applications, then this book is for you. Familiarity with data structures and algorithms will be helpful to get the most out of this book.
Category: Computers