30 Essential Algorithms In Python
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30 Essential Algorithms In Python
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Author : Zara Loop
language : en
Publisher:
Release Date : 2023-11-25
30 Essential Algorithms In Python written by Zara Loop and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-25 with categories.
Explore the Core of Computing with "30 Essential Algorithms in Python". Dive into the world of algorithms with this insightful guide, perfect for anyone passionate about computer science. Whether you're a student starting your journey, a professional seeking to deepen your understanding, or a coding enthusiast eager to explore, this book is your gateway to mastering some of the most fundamental and powerful algorithms in computing. Unlock the Secrets of Algorithms: From sorting and searching to graph theory and beyond, discover the mechanisms behind 30 essential algorithms. Programmed Solutions in Python. Each algorithm is accompanied by its implementation in Python, providing practical, ready-to-use solutions. Real-World Applications: Understand not just the "how" but also the "why" as each algorithm is tied to its real-world applications. "Essential Algorithms: A Practical Approach" is more than a book; it's a journey into the heart of algorithmic thinking. Equip yourself with the knowledge and skills to tackle real-world problems with confidence and creativity. Embrace the world of algorithms today!
Essential Algorithms
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Author : Rod Stephens
language : en
Publisher: John Wiley & Sons
Release Date : 2019-05-15
Essential Algorithms written by Rod Stephens and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-15 with Computers categories.
A friendly introduction to the most useful algorithms written in simple, intuitive English The revised and updated second edition of Essential Algorithms, offers an accessible introduction to computer algorithms. The book contains a description of important classical algorithms and explains when each is appropriate. The author shows how to analyze algorithms in order to understand their behavior and teaches techniques that the can be used to create new algorithms to meet future needs. The text includes useful algorithms such as: methods for manipulating common data structures, advanced data structures, network algorithms, and numerical algorithms. It also offers a variety of general problem-solving techniques. In addition to describing algorithms and approaches, the author offers details on how to analyze the performance of algorithms. The book is filled with exercises that can be used to explore ways to modify the algorithms in order to apply them to new situations. This updated edition of Essential Algorithms: Contains explanations of algorithms in simple terms, rather than complicated math Steps through powerful algorithms that can be used to solve difficult programming problems Helps prepare for programming job interviews that typically include algorithmic questions Offers methods can be applied to any programming language Includes exercises and solutions useful to both professionals and students Provides code examples updated and written in Python and C# Essential Algorithms has been updated and revised and offers professionals and students a hands-on guide to analyzing algorithms as well as the techniques and applications. The book also includes a collection of questions that may appear in a job interview. The book’s website will include reference implementations in Python and C# (which can be easily applied to Java and C++).
Python Algorithms
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Author : Magnus Lie Hetland
language : en
Publisher: Apress
Release Date : 2014-09-17
Python Algorithms written by Magnus Lie Hetland and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-17 with Computers categories.
Python Algorithms, Second Edition explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques. The book deals with some of the most important and challenging areas of programming and computer science in a highly readable manner. It covers both algorithmic theory and programming practice, demonstrating how theory is reflected in real Python programs. Well-known algorithms and data structures that are built into the Python language are explained, and the user is shown how to implement and evaluate others.
Artificial Intelligence Solutions For Global Health And Disaster Response Challenges And Opportunities
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Author : Tetyana Chumachenko
language : en
Publisher: Frontiers Media SA
Release Date : 2024-09-02
Artificial Intelligence Solutions For Global Health And Disaster Response Challenges And Opportunities written by Tetyana Chumachenko and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-02 with Medical categories.
Artificial intelligence (AI) has shown promise as an effective tool in disaster preparedness and response, providing a unique perspective on some of the most urgent health challenges. Rapid advances in AI technology can potentially revolutionize the way how we respond to emergencies and disasters that affect the world's health, including early warning systems, resource allocation, and real-time decision-making. This Research Topic aims to explore the latest developments in AI and its applications in global health and disaster response, providing a comprehensive overview of the potential and challenges of AI in improving health outcomes in crises. This Research Topic will bring together leading researchers, practitioners, and policymakers in global health and disaster response to share their experiences and insights on how AI can be leveraged to improve response efforts and enhance healthcare delivery.
Mental Health Epidemiology And Machine Learning
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Author : Marcos Del Pozo Banos
language : en
Publisher: Frontiers Media SA
Release Date : 2025-01-23
Mental Health Epidemiology And Machine Learning written by Marcos Del Pozo Banos and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-23 with Medical categories.
Mental health disorders are underlain by a wide diversity of influencing factors, and they exert their impact across multiple domains in a patient's life. As such, mental health research has greatly benefited from the proliferation of large and diverse databanks with many and new types of data, often covering a large sample of or even whole populations. However, traditional epidemiological and statistical techniques have proven to be insufficient to tackle the complexity of mental illness. While such data have spurred important advances in the area of mental health, they have also introduced new limitations that risk stalling progress. In this context, machine learning provides, in theory, novel opportunities to leverage the potential of databanks and propel population mental health research forward. Indeed, after a slower introduction compared to other health specialties, the popularity of machine learning in this field has soared in recent years. Unfortunately, on many occasions, the use of machine learning has overshadowed epidemiological practice, thus limiting the production of results that have genuine clinical relevance. Without careful integration, there is a real risk of losing the trust and confidence that machine learning has slowly gained within the clinical field.
Ai And Ml Unlocked
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Author : M.S. ALI
language : en
Publisher: MD SAIF ALI
Release Date : 2025-09-03
Ai And Ml Unlocked written by M.S. ALI and has been published by MD SAIF ALI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-03 with Technology & Engineering categories.
AI and ML Unlocked: A Course Book Bridging Fundamentals and Industry Challenges From Foundational Concepts to Real-World Deployment and Ethical Considerations Transform Your Understanding of Artificial Intelligence from Theory to Practice In a world where artificial intelligence shapes everything from the photos on your phone to life-saving medical diagnoses, understanding how these systems work isn't just advantageous—it's essential. AI and ML Unlocked written with the help of AI, bridges the critical gap between abstract mathematical concepts and the practical skills needed to build, deploy, and responsibly manage AI systems that create real value. Why This Book Stands Apart Most AI education falls into two camps: dense academic texts that bury practical insights under layers of theory, or superficial tutorials that show you how to use tools without understanding why they work. This book takes a revolutionary third path—learning through building. Every mathematical concept connects directly to code you'll write. Every algorithm comes alive through projects you'll complete. Every ethical consideration emerges from real systems you'll design. The "Spiral of Understanding" Approach Our unique pedagogical framework ensures deep, lasting comprehension: Intuitive Foundation: Start with analogies and real-world examples that make complex ideas feel natural Mathematical Clarity: Build rigorous understanding without drowning in notation Hands-On Implementation: Strengthen knowledge through immediate practical application Critical Analysis: Develop judgment about when, how, and whether to deploy different techniques What You'll Master Part I: The Foundation That Actually Matters Move beyond memorizing definitions to understanding what makes machine learning fundamentally different from traditional programming. Grasp the mathematical concepts that power every AI system—linear algebra, calculus, and probability—through intuitive explanations and Python implementations that illuminate rather than intimidate. Part II: Supervised and Unsupervised Learning in Action Build classification and regression systems that solve real problems. Master decision trees, support vector machines, and clustering algorithms through projects with actual datasets. Learn not just how these algorithms work, but when to use each one and how to evaluate their performance honestly. Part III: Deep Learning and Generative AI Construct neural networks from scratch, then scale up to convolutional networks that can see and transformers that can understand language. Explore the cutting-edge world of generative AI and large language models, understanding both their remarkable capabilities and their significant limitations. Part IV: The Production Reality Bridge the notorious gap between promising prototypes and production systems. Master MLOps practices, learn to deploy models that can handle real-world scale and complexity, and understand how to monitor and maintain AI systems over time. Work through detailed case studies from healthcare, finance, and manufacturing. Part V: Responsible AI Leadership Develop the critical thinking skills to navigate bias, fairness, and explainability challenges. Understand the societal implications of AI systems and learn frameworks for making ethical decisions in high-stakes applications. Prepare for the evolving landscape of AI governance and regulation.
Artificial Vision And Language Processing For Robotics
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Author : Álvaro Morena Alberola
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-04-30
Artificial Vision And Language Processing For Robotics written by Álvaro Morena Alberola 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 2019-04-30 with Computers categories.
Create end-to-end systems that can power robots with artificial vision and deep learning techniques Key FeaturesStudy ROS, the main development framework for robotics, in detailLearn all about convolutional neural networks, recurrent neural networks, and roboticsCreate a chatbot to interact with the robotBook Description Artificial Vision and Language Processing for Robotics begins by discussing the theory behind robots. You'll compare different methods used to work with robots and explore computer vision, its algorithms, and limits. You'll then learn how to control the robot with natural language processing commands. You'll study Word2Vec and GloVe embedding techniques, non-numeric data, recurrent neural network (RNNs), and their advanced models. You'll create a simple Word2Vec model with Keras, as well as build a convolutional neural network (CNN) and improve it with data augmentation and transfer learning. You'll study the ROS and build a conversational agent to manage your robot. You'll also integrate your agent with the ROS and convert an image to text and text to speech. You'll learn to build an object recognition system using a video. By the end of this book, you'll have the skills you need to build a functional application that can integrate with a ROS to extract useful information about your environment. What you will learnExplore the ROS and build a basic robotic systemUnderstand the architecture of neural networksIdentify conversation intents with NLP techniquesLearn and use the embedding with Word2Vec and GloVeBuild a basic CNN and improve it using generative modelsUse deep learning to implement artificial intelligence(AI)and object recognitionDevelop a simple object recognition system using CNNsIntegrate AI with ROS to enable your robot to recognize objectsWho this book is for Artificial Vision and Language Processing for Robotics is for robotics engineers who want to learn how to integrate computer vision and deep learning techniques to create complete robotic systems. It will prove beneficial to you if you have working knowledge of Python and a background in deep learning. Knowledge of the ROS is a plus.
Robotic Telescopes
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Author : Alberto J. Castro-Tirado
language : en
Publisher: Frontiers Media SA
Release Date : 2023-06-14
Robotic Telescopes written by Alberto J. Castro-Tirado and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-14 with Science categories.
Data Science In Applications
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Author : Gintautas Dzemyda
language : en
Publisher: Springer Nature
Release Date : 2025-09-20
Data Science In Applications written by Gintautas Dzemyda and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-20 with Computers categories.
This book provides a forum for presenting and discussing new and promising ideas in the broadly understood data science field and scope. Data science is a broad discipline. Related and partially overlapping fields are data mining, pattern recognition, neurocomputing, statistics, mathematics, data visualisation, databases, data processing, knowledge discovery in databases, big data analysis, computer science, cloud computing, machine learning, and artificial intelligence. Recent research has focused on unlocking the new possibilities of artificial intelligence, not only from a theoretical point of view but also from an applied perspective. In light of recent developments and trends in these fields, the topics covered in the book have been expanded and extended to include various aspects of artificial intelligence (AI), advanced data analysis, data analytics, machine learning, and multimedia, both from a theoretical and a practical application perspective. All of these are coming together, so we are seeing a variety of AI-driven approaches. This book contains 12 chapters by data science researchers. They are divided into “AI-supported multimedia systems” and “Developments, challenges, and applications of advanced data analysis and machine learning.” The first part of the book contains chapters that discuss various aspects of multimedia systems, notably text, voice, and image, in particular from the point of view of how new developments in AI, advanced data analyses, etc., can provide new, effective and efficient, tools and techniques, maybe even imply research and implementation breakthroughs. The second part of the book, “Developments, challenges and applications of advanced data analysis and machine learning,” is concerned with various aspects, problems, solutions, and applications for new sophisticated tools and techniques of data analyses, data analytics, and machine learning providing tools and techniques to take advantage of what is available in data.
Dr Dobb S Journal
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Author :
language : en
Publisher:
Release Date : 2003
Dr Dobb S Journal written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Application software categories.