algorithms python

Hands-On Genetic Algorithms with Python Applying genetic algorithms to solve real-world deep learning and artificial intelligence problems【電子書籍】 Eyal WirsanskyHands-On Machine Learning for Algorithmic Trading Design and implement investment strategies based on smart algorithms that learn from data using Python【電子書籍】 Stefan JansenNatural Computing with Python Learn to implement genetic and evolutionary algorithms to solve problems in a pythonic way【電子書籍】 Giancarlo ZacconeAlgorithmic Decision Making with Python Resources From Multicriteria Performance Records to Decision Algorithms via Bipolar-Valued Outranking Digraphs【電子書籍】 Raymond BisdorffData Structures with Python Get familiar with the common Data Structures and Algorithms in Python (English Edition)【電子書籍】 Dr. Harsh BhasinLearning Genetic Algorithms with Python: Empower the Performance of Machine Learning and Artificial Intelligence Models with the Capabilities of a Powerful Search Algorithm (English Edition)【電子書籍】 Ivan GridinPython Reinforcement Learning Solve complex real-world problems by mastering reinforcement learning algorithms using OpenAI Gym and TensorFlow【電子書籍】 Sudharsan RavichandiranEssential Algorithms A Practical Approach to Computer Algorithms Using Python and C 【電子書籍】 Rod StephensHands-On Data Structures and Algorithms with Python Write complex and powerful code using the latest features of Python 3.7, 2nd Edition【電子書籍】 Dr. Basant AgarwalPython for Chemistry An introduction to Python algorithms, Simulations, and Programing for Chemistry (English Edition)【電子書籍】 Dr. M. KanagasabapathyLearn OpenCV 4.5 with Python 3.7 by Examples Implement Computer Vision Algorithms Provided by OpenCV with Python for Image Processing, Object Detection and Machine Learning【電子書籍】 James ChenCompetitive Programming in Python 128 Algorithms to Develop your Coding Skills【電子書籍】 Christoph D rrPython Machine Learning A Step By Step Guide to Machine Learning, Algorithms, Data Science, Pytorch and Keras, Tensor Flow【電子書籍】 MEGANE NOELHands-On Data Structures and Algorithms with Python Store, manipulate, and access data effectively and boost the performance of your applications, 3rd Edition【電子書籍】 Dr. Basant Agarwal実践力をアップするPythonによるアルゴリズムの教科書/クジラ飛行机【3000円以上送料無料】Buy Data Structures and Algorithms in Python (2024) Learn Data Structures Algorithms (Python) in One Day and Learn It Well. Data Structures Algorithms for Beginners with Hands-on Project【電子書籍】 DS Publishing40 Algorithms Every Programmer Should Know Hone your problem-solving skills by learning different algorithms and their implementation in Python【電子書籍】 Imran AhmadHands-On Neuroevolution with Python Build high-performing artificial neural network architectures using neuroevolution-based algorithms【電子書籍】 Iaroslav OmelianenkoLearning OpenCV 4 Computer Vision with Python 3 Get to grips with tools, techniques, and algorithms for computer vision and machine learning, 3rd Edition【電子書籍】 Joseph HowsePython-Powered Machine Learning: Exploring Machine Learning and Deep Learning Using Python, scikit-learn, TensorFlow, and Cutting-Edge Algorithms for Advanced Data Analysis【電子書籍】 Matthew B.Richard
 

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  • <p><strong>Explore the ever-growing world of genetic algorithms to solve search, optimization, and AI-related tasks, and improve machine learning models using Python libraries such as DEAP, scikit-learn, and NumPy</strong></p> <h4>Key Features</h4> <ul> <li>Explore the ins and outs of genetic algorithms with this fast-paced guide</li> <li>Implement tasks such as feature selection, search optimization, and cluster analysis using Python</li> <li>Solve combinatorial problems, optimize functions, and enhance the performance of artificial intelligence applications</li> </ul> <h4>Book Description</h4> <p>Genetic algorithms are a family of search, optimization, and learning algorithms inspired by the principles of natural evolution. By imitating the evolutionary process, genetic algorithms can overcome hurdles encountered in traditional search algorithms and provide high-quality solutions for a variety of problems. This book will help you get to grips with...
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  • <p><strong>Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras</strong></p> <h4>Key Features</h4> <ul> <li>Implement machine learning algorithms to build, train, and validate algorithmic models</li> <li>Create your own algorithmic design process to apply probabilistic machine learning approaches to trading decisions</li> <li>Develop neural networks for algorithmic trading to perform time series forecasting and smart analytics</li> </ul> <h4>Book Description</h4> <p>The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This book enables you to use a broad range of supervised and unsupervised algorithms to extract signals from a wide variety of data sources and create powerful investment strategies.</p> <p>This book shows how to access market, fundamental, and alternative data via API or web scraping and offers a fra...
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  • <p>Natural Computing is the field of research inspired by nature, that allows the development of new algorithms to solve complex problems, leads to the synthesis of natural models, and may result in the design of new computing systems. This book exactly aims to educate you with practical examples on topics of importance associated with research field of Natural computing.The initial few chapters will quickly walk you through Neural Networks while describing deep learning architectures such as CNN, RNN and AutoEncoders using Keras. As you progress further, you’ll gain understanding to develop genetic algorithm to solve traveling saleman problem, implement swarm intelligence techniques using the SwarmPackagePy and Cellular Automata techniques such as Game of Life, Langton's ant, etc. The latter half of the book will introduce you to the world of Fractals such as such as the Cantor Set and the Mandelbrot Set, develop a quantum program with the QiSkit tool that runs on a real quantum ...
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  • <p>This book describes Python3 programming resources for implementing decision aiding algorithms in the context of a bipolar-valued outranking approach. These computing resources, made available under the name Digraph3, are useful in the field of Algorithmic Decision Theory and more specifically in outranking-based Multiple-Criteria Decision Aiding (MCDA).</p> <p>The first part of the book presents a set of tutorials introducing the Digraph3 collection of Python3 modules and its main objects, such as bipolar-valued digraphs and outranking digraphs. In eight methodological chapters, the second part illustrates multiple-criteria evaluation models and decision algorithms. These chapters are largely problem-oriented and demonstrate how to edit a new multiple-criteria performance tableau, how to build a best choice recommendation, how to compute the winner of an election and how to make rankings or ratings using incommensurable criteria.</p> <p>The book’s third part presents th...
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  • <p>Data structures are a way of organizing and storing data in a computer so that it can be accessed and manipulated efficiently. If you want to become an accomplished programmer and master this subject, then this book is for you.The book starts by introducing you to the fascinating world of data structures and algorithms. This book will help you learn about different algorithmic techniques such as Dynamic programming, Greedy algorithms, and Backtracking, and their applications in solving various computational problems. The book will then teach you how to analyze the complexity of Recursive algorithms. Moving on, the book will help you get familiar with the concept of Linked lists, which is an important foundation for understanding other data structures, such as Stacks and Queues, which are covered in detail later in this book. The book will also teach you about advanced data structures such as Trees and Graphs, their different types, and their applications. Towards the end, the b...
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  • <p><strong>Refuel your AI Models and ML applications with High-Quality Optimization and Search Solutions</strong></p> <p><strong>DESCRIPTION</strong></p> <p>Genetic algorithms are one of the most straightforward and powerful techniques used in machine learning. This book 'Learning Genetic Algorithms with Python' guides the reader right from the basics of genetic algorithms to its real practical implementation in production environments.</p> <p>Each of the chapters gives the reader an intuitive understanding of each concept. You will learn how to build a genetic algorithm from scratch and implement it in real-life problems. Covered with practical illustrated examples, you will learn to design and choose the best model architecture for the particular tasks. Cutting edge examples like radar and football manager problem statements, you will learn to solve high-dimensional big data challenges with ways of optimizing genetic algorithms.</p> <p><strong>KEY FEATU...
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  • <p><strong>Apply modern reinforcement learning and deep reinforcement learning methods using Python and its powerful libraries</strong></p> <h4>Key Features</h4> <ul> <li>Your entry point into the world of artificial intelligence using the power of Python</li> <li>An example-rich guide to master various RL and DRL algorithms</li> <li>Explore the power of modern Python libraries to gain confidence in building self-trained applications</li> </ul> <h4>Book Description</h4> <p>Reinforcement Learning (RL) is the trending and most promising branch of artificial intelligence. This Learning Path will help you master not only the basic reinforcement learning algorithms but also the advanced deep reinforcement learning algorithms.</p> <p>The Learning Path starts with an introduction to RL followed by OpenAI Gym, and TensorFlow. You will then explore various RL algorithms, such as Markov Decision Process, Monte Carlo methods, and dynamic programming, inclu...
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  • <p><strong>A friendly introduction to the most useful algorithms written in simple, intuitive English</strong></p> <p>The revised and updated second edition of <em>Essential Algorithms,</em> 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.</p> <p>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 algorit...
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  • <p><strong>Learn to implement complex data structures and algorithms using Python</strong></p> <h4>Key Features</h4> <ul> <li>Understand the analysis and design of fundamental Python data structures</li> <li>Explore advanced Python concepts such as Big O notation and dynamic programming</li> <li>Learn functional and reactive implementations of traditional data structures</li> </ul> <h4>Book Description</h4> <p>Data structures allow you to store and organize data efficiently. They are critical to any problem, provide a complete solution, and act like reusable code. Hands-On Data Structures and Algorithms with Python teaches you the essential Python data structures and the most common algorithms for building easy and maintainable applications.</p> <p>This book helps you to understand the power of linked lists, double linked lists, and circular linked lists. You will learn to create complex data structures, such as graphs, stacks, and queues. As yo...
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  • <p>Python is a versatile and powerful computer language without a steep learning curve. It can be deployed to simulate various physicochemical parameters or to analyze complex molecular, bio-molecular, and crystalline structures. The objective of this book is to give a gentle introduction to Python programming with relevant algorithms, iterations, and basic simulations from a chemist’s perspective. This book outlines the fundamentals of Python coding through the built-in functions, libraries, and modules as well as with a few selected external packages for physical/materials/inorganic/analytical/organic/ nuclear chemistry in terms of numerical, symbolic, structural, and graphical data analysis using the default, Integrated Development and Learning Environment. You will also learn about the Structural Elucidation of organic molecules and inorganic complexes with specific Cheminformatics modules. In addition to this, the book covers chemical data analysis with Numpy and also include...
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  • <p><strong>What This Book is About</strong></p> <p>When you searched for this book, you have already known the importance of the OpenCV/Python in the fields of computer vision, image processing and machine learning. This book begins with step-by-step instructions of installation as well as a simple Hello World, then gets into the OpenCV Basics, Image Processing, Object Detection and finally Machine Learning.</p> <p><strong>Key Features</strong></p> <p>Example for every topic, all the source codes are available in Github.</p> <p>Line by line explanation of the source codes.</p> <p>Focus mainly on implementation of algorithms, rather than mathematical theories.</p> <p><strong>Whom This Book Is For</strong></p> <p>This book is for people with a variety of computer programming levels, from those with very limited knowledge of computer vision to the experienced ones. The readers do not need to have previous experiences of Python/OpenCV. No matter...
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  • <p>Want to kill it at your job interview in the tech industry? Want to win that coding competition? Learn all the algorithmic techniques and programming skills you need from two experienced coaches, problem setters, and jurors for coding competitions. The authors highlight the versatility of each algorithm by considering a variety of problems and show how to implement algorithms in simple and efficient code. Readers can expect to master 128 algorithms in Python and discover the right way to tackle a problem and quickly implement a solution of low complexity. Classic problems like Dijkstra's shortest path algorithm and Knuth-Morris-Pratt's string matching algorithm are featured alongside lesser known data structures like Fenwick trees and Knuth's dancing links. The book provides a framework to tackle algorithmic problem solving, including: Definition, Complexity, Applications, Algorithm, Key Information, Implementation, Variants, In Practice, and Problems. Python code included in t...
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  • <p>Learn the essential Python tools that every newcomer should be aware of. Learn the techniques that will help you complete your projects like a pro. Every aspiring programmer should have a copy of this book. Learn how to experiment with new ideas and problem-solving techniques, as well as how to improve your programming skills and, most importantly, your confidence. Imagination and creativity will allow you to embark on new projects you never imagined.</p> <p><strong>Here’s what you will love about this book:</strong></p> <ul> <li>What is Python Machine Learning, anyway? Here’s how to get started.</li> <li>Find out the "Whys" and "Hows" of Python</li> <li>The One PROVEN Way for Effective Implementation of Machine Learning Algorithms</li> <li>Find Out the EASIEST Way for Mastering Machine Learning with Python.</li> <li>Learn Importance of Learning Data Analysis in Python.</li> <li>The truth about Deep Learning vs Machine Learning</li> <li>The...
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  • <p><strong>Understand how implementing different data structures and algorithms intelligently can make your Python code and applications more maintainable and efficient</strong></p> <h4>Key Features</h4> <ul> <li>Explore functional and reactive implementations of traditional and advanced data structures</li> <li>Apply a diverse range of algorithms in your Python code</li> <li>Implement the skills you have learned to maximize the performance of your applications</li> </ul> <h4>Book Description</h4> <p>Choosing the right data structure is pivotal to optimizing the performance and scalability of applications. This new edition of Hands-On Data Structures and Algorithms with Python will expand your understanding of key structures, including stacks, queues, and lists, and also show you how to apply priority queues and heaps in applications. You'll learn how to analyze and compare Python algorithms, and understand which algorithms should be used for a prob...
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  • 著者クジラ飛行机(著)出版社マイナビ出版発売日2023年06月ISBN9784839981914ページ数373Pキーワードじつせんりよくおあつぷするぱいそんによる ジツセンリヨクオアツプスルパイソンニヨル くじら ひこうずくえ クジラ ヒコウズクエ9784839981914内容紹介本書は、Pythonを使って、定番のアルゴリズムから、人工知能(AI)や自然言語処理に関するアルゴリズムまで、広く学べる書籍です。本書は、プログラミングのスキルを向上させたい人に向けて書かれた本です。レベルに合わせて少しずつ読み進めると良いでしょう。紹介するアルゴリズムは、章が上がるごとに難しくなっていきますが、興味のあるアルゴリズムを選んで読んでも問題ないようになっています。Chapter 1ではなぜアルゴリズムを学ぶと良いのかを紹介しています。スキルアップに対して、あまりモチベーションが上がらないときに読むと良いでしょう。また、計算量の説明や、Pythonのインストールやターミナルの使い方、プログラムのテストの書き方も紹介しています。そして、Chapter 2以降で実際のアルゴリズムを解説します。Chapter 2は基本的な制御フロー(if、forなど)を利用したアルゴリズムを解説します。Fizz...
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  • <p><strong>Unveiling the Essence of Data Structures and Algorithms: Your Path to Software Excellence!</strong></p> <p>Are you ready to unravel the complexity of algorithms with ease? Look no further ? we've crafted the ultimate guide to demystify this intricate topic. Algorithms are the backbone of software programs, orchestrating data structure manipulations. Prepare for an enlightening journey filled with clear examples and hands-on workshops, all within an integrated development environment.</p> <p><strong>〓 **Mastering Data Structures & Algorithms: The Python Way** 〓</strong></p> <p><strong>〓 **Bridging the Gap Between Complexity and Comprehension** 〓</strong></p> <p>Embark on your software development odyssey with an Introduction to Data Structures and Algorithms Made Easy in Python ? one of the most sought-after programming languages. Harness the extraordinary speed and precision of computers for data storage and processing. Efficient data org...
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  • <p><b>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</b></p><h2>Key Features</h2><ul><li>Learn the techniques you need to know to design algorithms for solving complex problems</li><li>Become familiar with neural networks and deep learning techniques</li><li>Explore different types of algorithms and choose the right data structures for their optimal implementation</li></ul><h2>Book Description</h2>Algorithms 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 unde...
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  • <p><strong>Increase the performance of various neural network architectures using NEAT, HyperNEAT, ES-HyperNEAT, Novelty Search, SAFE, and deep neuroevolution</strong></p> <h4>Key Features</h4> <ul> <li>Implement neuroevolution algorithms to improve the performance of neural network architectures</li> <li>Understand evolutionary algorithms and neuroevolution methods with real-world examples</li> <li>Learn essential neuroevolution concepts and how they are used in domains including games, robotics, and simulations</li> </ul> <h4>Book Description</h4> <p>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 practica...
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  • <p><strong>Updated for OpenCV 4 and Python 3, this book covers the latest on depth cameras, 3D tracking, augmented reality, and deep neural networks, helping you solve real-world computer vision problems with practical code</strong></p> <h4>Key Features</h4> <ul> <li>Build powerful computer vision applications in concise code with OpenCV 4 and Python 3</li> <li>Learn the fundamental concepts of image processing, object classification, and 2D and 3D tracking</li> <li>Train, use, and understand machine learning models such as Support Vector Machines (SVMs) and neural networks</li> </ul> <h4>Book Description</h4> <p>Computer vision is a rapidly evolving science, encompassing diverse applications and techniques. This book will not only help those who are getting started with computer vision but also experts in the domain. You'll be able to put theory into practice by building apps with OpenCV 4 and Python 3.</p> <p>You'll start by understanding Open...
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  • <p>Dive into the fascinating world of machine learning and deep learning with Python as your guide! In 'Python-Powered Machine Learning,' embark on a journey through the fundamentals of both traditional machine learning techniques and cutting-edge deep learning algorithms. From exploring the powerful capabilities of scikit-learn to delving into the realm of TensorFlow, this comprehensive guide equips you with the knowledge and tools needed for advanced data analysis. Whether you're a beginner eager to grasp the basics or a seasoned practitioner seeking to enhance your skills, this book offers practical insights, hands-on examples, and real-world applications to accelerate your understanding and mastery of machine learning in Python</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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