40 Algorithms Every Programmer Should Know
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40 Algorithms Every Programmer Should Know
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Author : Imran Ahmad
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-06-12
40 Algorithms Every Programmer Should Know written by Imran Ahmad and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-12 with Computers categories.
Learn algorithms for solving classic computer science problems with this concise guide covering everything from fundamental algorithms, such as sorting and searching, to modern algorithms used in machine learning and cryptography Key Features Learn the techniques you need to know to design algorithms for solving complex problems Become familiar with neural networks and deep learning techniques Explore different types of algorithms and choose the right data structures for their optimal implementation Book DescriptionAlgorithms have always played an important role in both the science and practice of computing. Beyond traditional computing, the ability to use algorithms to solve real-world problems is an important skill that any developer or programmer must have. This book will help you not only to develop the skills to select and use an algorithm to solve real-world problems but also to understand how it works. You’ll start with an introduction to algorithms and discover various algorithm design techniques, before exploring how to implement different types of algorithms, such as searching and sorting, with the help of practical examples. As you advance to a more complex set of algorithms, you'll learn about linear programming, page ranking, and graphs, and even work with machine learning algorithms, understanding the math and logic behind them. Further on, case studies such as weather prediction, tweet clustering, and movie recommendation engines will show you how to apply these algorithms optimally. Finally, you’ll become well versed in techniques that enable parallel processing, giving you the ability to use these algorithms for compute-intensive tasks. By the end of this book, you'll have become adept at solving real-world computational problems by using a wide range of algorithms.What you will learn Explore existing data structures and algorithms found in Python libraries Implement graph algorithms for fraud detection using network analysis Work with machine learning algorithms to cluster similar tweets and process Twitter data in real time Predict the weather using supervised learning algorithms Use neural networks for object detection Create a recommendation engine that suggests relevant movies to subscribers Implement foolproof security using symmetric and asymmetric encryption on Google Cloud Platform (GCP) Who this book is for This book is for programmers or developers who want to understand the use of algorithms for problem-solving and writing efficient code. Whether you are a beginner looking to learn the most commonly used algorithms in a clear and concise way or an experienced programmer looking to explore cutting-edge algorithms in data science, machine learning, and cryptography, you'll find this book useful. Although Python programming experience is a must, knowledge of data science will be helpful but not necessary.
Natural Language Processing With Aws Ai Services
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Author : Mona M
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-11-26
Natural Language Processing With Aws Ai Services written by Mona M and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-26 with Computers categories.
Work through interesting real-life business use cases to uncover valuable insights from unstructured text using AWS AI services Key FeaturesGet to grips with AWS AI services for NLP and find out how to use them to gain strategic insightsRun Python code to use Amazon Textract and Amazon Comprehend to accelerate business outcomesUnderstand how you can integrate human-in-the-loop for custom NLP use cases with Amazon A2IBook Description Natural language processing (NLP) uses machine learning to extract information from unstructured data. This book will help you to move quickly from business questions to high-performance models in production. To start with, you'll understand the importance of NLP in today's business applications and learn the features of Amazon Comprehend and Amazon Textract to build NLP models using Python and Jupyter Notebooks. The book then shows you how to integrate AI in applications for accelerating business outcomes with just a few lines of code. Throughout the book, you'll cover use cases such as smart text search, setting up compliance and controls when processing confidential documents, real-time text analytics, and much more to understand various NLP scenarios. You'll deploy and monitor scalable NLP models in production for real-time and batch requirements. As you advance, you'll explore strategies for including humans in the loop for different purposes in a document processing workflow. Moreover, you'll learn best practices for auto-scaling your NLP inference for enterprise traffic. Whether you're new to ML or an experienced practitioner, by the end of this NLP book, you'll have the confidence to use AWS AI services to build powerful NLP applications. What you will learnAutomate various NLP workflows on AWS to accelerate business outcomesUse Amazon Textract for text, tables, and handwriting recognition from images and PDF filesGain insights from unstructured text in the form of sentiment analysis, topic modeling, and more using Amazon ComprehendSet up end-to-end document processing pipelines to understand the role of humans in the loopDevelop NLP-based intelligent search solutions with just a few lines of codeCreate both real-time and batch document processing pipelines using PythonWho this book is for If you're an NLP developer or data scientist looking to get started with AWS AI services to implement various NLP scenarios quickly, this book is for you. It will show you how easy it is to integrate AI in applications with just a few lines of code. A basic understanding of machine learning (ML) concepts is necessary to understand the concepts covered. Experience with Jupyter notebooks and Python will be helpful.
50 Algorithms Every Programmer Should Know
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Author : Imran Ahmad
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-09-29
50 Algorithms Every Programmer Should Know written by Imran Ahmad and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-29 with Computers categories.
Delve into the realm of generative AI and large language models (LLMs) while exploring modern deep learning techniques, including LSTMs, GRUs, RNNs with new chapters included in this 50% new edition overhaul Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Familiarize yourself with advanced deep learning architectures Explore newer topics, such as handling hidden bias in data and algorithm explainability Get to grips with different programming algorithms and choose the right data structures for their optimal implementation Book DescriptionThe ability to use algorithms to solve real-world problems is a must-have skill for any developer or programmer. This book will help you not only to develop the skills to select and use an algorithm to tackle problems in the real world but also to understand how it works. You'll start with an introduction to algorithms and discover various algorithm design techniques, before exploring how to implement different types of algorithms, with the help of practical examples. As you advance, you'll learn about linear programming, page ranking, and graphs, and will then work with machine learning algorithms to understand the math and logic behind them. Case studies will show you how to apply these algorithms optimally before you focus on deep learning algorithms and learn about different types of deep learning models along with their practical use. You will also learn about modern sequential models and their variants, algorithms, methodologies, and architectures that are used to implement Large Language Models (LLMs) such as ChatGPT. Finally, you'll become well versed in techniques that enable parallel processing, giving you the ability to use these algorithms for compute-intensive tasks. By the end of this programming book, you'll have become adept at solving real-world computational problems by using a wide range of algorithms.What you will learn Design algorithms for solving complex problems Become familiar with neural networks and deep learning techniques Explore existing data structures and algorithms found in Python libraries Implement graph algorithms for fraud detection using network analysis Delve into state-of-the-art algorithms for proficient Natural Language Processing illustrated with real-world examples Create a recommendation engine that suggests relevant movies to subscribers Grasp the concepts of sequential machine learning models and their foundational role in the development of cutting-edge LLMs Who this book is for This computer science book is for programmers or developers who want to understand the use of algorithms for problem-solving and writing efficient code. Whether you are a beginner looking to learn the most used algorithms concisely or an experienced programmer looking to explore cutting-edge algorithms in data science, machine learning, and cryptography, you'll find this book useful. Python programming experience is a must, knowledge of data science will be helpful but not necessary.
What Every Programmer Should Know About Object Oriented Design
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Author : Meilir Page-Jones
language : en
Publisher: Dorset House Publishing Company, Incorporated
Release Date : 1995
What Every Programmer Should Know About Object Oriented Design written by Meilir Page-Jones and has been published by Dorset House Publishing Company, Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.
Introduction: What does it mean to be object-oriented, anyway? Object-orientation - Who ordered that? Object-oriented design notation. The basic notation for classes em methods. Inheritance and aggregation diagrams. The object-communication diagram. State-transition diagrams. Additional OODN diagrams. The principles of object-oriented design: Encapsulation and connascence. Domains, encumbrance, and cohesion. Properties of classes and subclasses. The perils of inheritance and polymorphism. Class interfaces. Appendix A: Checklist for an object-oriented design walkthrough. Appendix B: The Object-oriented design owner's manual. Appendix C: Blitz guide to object-oriented terminology.
50 Algorithms Every Programmer Should Know
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Author : Imran Ahmad
language : en
Publisher:
Release Date : 2023
50 Algorithms Every Programmer Should Know written by Imran Ahmad and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with Algorithms categories.
Solve classic computer science problems from fundamental algorithms, such as sorting and searching, to modern algorithms in machine learning and cryptography Key Features Discussion on Advanced Deep Learning Architectures New chapters on sequential models explaining modern deep learning techniques, like LSTMs, GRUs, and RNNs and Large Language Models (LLMs) Explore newer topics, such as how to handle hidden bias in data and the explainability of the algorithms Get to grips with different programming algorithms and choose the right data structures for their optimal implementation Book Description The ability to use algorithms to solve real-world problems is a must-have skill for any developer or programmer. This book will help you not only to develop the skills to select and use an algorithm to tackle problems in the real world but also to understand how it works. You'll start with an introduction to algorithms and discover various algorithm design techniques, before exploring how to implement different types of algorithms, with the help of practical examples. As you advance, you'll learn about linear programming, page ranking, and graphs, and will then work with machine learning algorithms to understand the math and logic behind them. Case studies will show you how to apply these algorithms optimally before you focus on deep learning algorithms and learn about different types of deep learning models along with their practical use. You will also learn about modern sequential models and their variants, algorithms, methodologies, and architectures that are used to implement Large Language Models (LLMs) such as ChatGPT. Finally, you'll become well versed in techniques that enable parallel processing, giving you the ability to use these algorithms for compute-intensive tasks. By the end of this programming book, you'll have become adept at solving real-world computational problems by using a wide range of algorithms. What you will learn Design algorithms for solving complex problems Become familiar with neural networks and deep learning techniques Explore existing data structures and algorithms found in Python libraries Implement graph algorithms for fraud detection using network analysis Delve into state-of-the-art algorithms for proficient Natural Language Processing illustrated with real-world examples Create a recommendation engine that suggests relevant movies to subscribers Grasp the concepts of sequential machine learning models and their foundational role in the development of cutting-edge LLMs Who this book is for This computer science book is for programmers or developers who want to understand the use of algorithms for problem-solving and writing efficient code. Whether you are a beginner looking to learn the most used algorithms concisely or an experienced programmer looking to explore cutting-edge algorithms in data science, machine learning, and cryptography, you'll find this book useful. Python programming experience is a must, knowledge of data science will be helpful but not necessary.
50 Algorithms Every Programmer Should Know Second Edition
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Author : Imran Ahmad
language : en
Publisher:
Release Date : 2023-09-29
50 Algorithms Every Programmer Should Know Second Edition written by Imran Ahmad and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-29 with Computers categories.
Algorithms play an important role in computing, so a deeper understanding of an algorithm's logic and mathematics is essential.
Pascal Programming
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Author : Walter S. Brainerd
language : en
Publisher:
Release Date : 1982
Pascal Programming written by Walter S. Brainerd and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1982 with Computers categories.
Data Structures And Software Development In An Object Oriented Domain
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Author : Jean-Paul Tremblay
language : en
Publisher: Prentice Hall
Release Date : 2003
Data Structures And Software Development In An Object Oriented Domain written by Jean-Paul Tremblay and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Computers categories.
This text provides an introduction to basic data structures, object-oriented analysis and design, and fundamental software design concepts and principles. The authors begin with the traditional basic data structures and algorithms, with their Java implementation and analysis.
Introduction To 6800 68000 Microprocessors
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Author : Frederick F. Driscoll
language : en
Publisher:
Release Date : 1987
Introduction To 6800 68000 Microprocessors written by Frederick F. Driscoll and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Mathematics categories.
The British National Bibliography
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Author : Arthur James Wells
language : en
Publisher:
Release Date : 1995
The British National Bibliography written by Arthur James Wells and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Bibliography, National categories.