Контакты/Проезд  Доставка и Оплата Помощь/Возврат
История
  +7(495) 980-12-10
  пн-пт: 10-18 сб,вс: 11-18
  shop@logobook.ru
   
    Поиск книг                    Поиск по списку ISBN Расширенный поиск    
Найти
  Зарубежные издательства Российские издательства  
Авторы | Каталог книг | Издательства | Новинки | Учебная литература | Акции | Хиты | |
 

Python Machine Learning Case Studies, Danish Haroon


Варианты приобретения
Цена: 5309.00р.
Кол-во:
Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Америка: Есть  
При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
При условии наличия книги у поставщика.

Добавить в корзину
в Мои желания

Автор: Danish Haroon
Название:  Python Machine Learning Case Studies
ISBN: 9781484228227
Издательство: Springer
Классификация:






ISBN-10: 1484228227
Обложка/Формат: Paperback
Страницы: 202
Вес: 0.34 кг.
Дата издания: 29.10.2017
Язык: English
Издание: 1st ed.
Иллюстрации: 99 illustrations, color; 21 illustrations, black and white; xvii, 202 p. 120 illus., 99 illus. in color.
Размер: 234 x 156 x 12
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: Five Case Studies for the Data Scientist
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: Embrace machine learning approaches and Python to enable automatic rendering of rich insights and solve business problems. The book uses a hands-on case study-based approach to crack real-world applications to which machine learning concepts can be applied. These smarter machines will enable your business processes to achieve efficiencies on minimal time and resources.
Python Machine Learning Case Studies takes you through the steps to improve business processes and determine the pivotal points that frame strategies. Youll see machine learning techniques that you can use to support your products and services. Moreover youll learn the pros and cons of each of the machine learning concepts to help you decide which one best suits your needs.
By taking a step-by-step approach to coding in Python youll be able to understand the rationale behind model selection and decisions within the machine learning process. The book is equipped with practical examples along with code snippets to ensure that you understand the data science approach to solving real-world problems.
What You Will Learn
  • Gain insights into machine learning concepts
  • Work on real-world applications of machine learning
  • Learn concepts of model selection and optimization
  • Get a hands-on overview of Python from a machine learning point of view

Who This Book Is For
Data scientists, data analysts, artificial intelligence engineers, big data enthusiasts, computer scientists, computer sciences students, and capital market analysts.




Machine Learning and Data Mining in Pattern Recognition

Автор: Perner
Название: Machine Learning and Data Mining in Pattern Recognition
ISBN: 3319419196 ISBN-13(EAN): 9783319419190
Издательство: Springer
Рейтинг:
Цена: 13416.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining.

Privacy-Preserving Machine Learning for Speech Processing

Автор: Manas A. Pathak
Название: Privacy-Preserving Machine Learning for Speech Processing
ISBN: 1489991204 ISBN-13(EAN): 9781489991201
Издательство: Springer
Рейтинг:
Цена: 15672.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This thesis discusses the privacy issues in speech-based applications such as biometric authentication, surveillance, and external speech processing services. Pathak presents solutions for privacy-preserving speech processing applications such as speaker verification, speaker identification and speech recognition.

Machine Learning and Data Mining in Pattern Recognition

Автор: Petra Perner
Название: Machine Learning and Data Mining in Pattern Recognition
ISBN: 3319210238 ISBN-13(EAN): 9783319210230
Издательство: Springer
Рейтинг:
Цена: 8944.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining.

Practical Machine Learning with Python

Автор: Dipanjan Sarkar; Raghav Bali; Tushar Sharma
Название: Practical Machine Learning with Python
ISBN: 1484232062 ISBN-13(EAN): 9781484232064
Издательство: Springer
Рейтинг:
Цена: 6986.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to become a successful practitioner. The concepts, techniques, tools, frameworks, and methodologies used in this book will teach you how to think, design, build, and execute machine learning systems and projects successfully.

Practical Machine Learning with Python follows a structured and comprehensive three-tiered approach packed with hands-on examples and code.

Part 1 focuses on understanding machine learning concepts and tools. This includes machine learning basics with a broad overview of algorithms, techniques, concepts and applications, followed by a tour of the entire Python machine learning ecosystem. Brief guides for useful machine learning tools, libraries and frameworks are also covered.

Part 2 details standard machine learning pipelines, with an emphasis on data processing analysis, feature engineering, and modeling. You will learn how to process, wrangle, summarize and visualize data in its various forms. Feature engineering and selection methodologies will be covered in detail with real-world datasets followed by model building, tuning, interpretation and deployment.

Part 3 explores multiple real-world case studies spanning diverse domains and industries like retail, transportation, movies, music, marketing, computer vision and finance. For each case study, you will learn the application of various machine learning techniques and methods. The hands-on examples will help you become familiar with state-of-the-art machine learning tools and techniques and understand what algorithms are best suited for any problem.

Practical Machine Learning with Python will empower you to start solving your own problems with machine learning today

What You'll Learn

  • Execute end-to-end machine learning projects and systems
  • Implement hands-on examples with industry standard, open source, robust machine learning tools and frameworks
  • Review case studies depicting applications of machine learning and deep learning on diverse domains and industries
  • Apply a wide range of machine learning models including regression, classification, and clustering.
  • Understand and apply the latest models and methodologies from deep learning including CNNs, RNNs, LSTMs and transfer learning.

Who This Book Is For
IT professionals, analysts, developers, data scientists, engineers, graduate students
Machine Learning,Algorithms And App

Автор: Mohammed
Название: Machine Learning,Algorithms And App
ISBN: 1498705383 ISBN-13(EAN): 9781498705387
Издательство: Taylor&Francis
Рейтинг:
Цена: 12707.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Machine learning, one of the top emerging sciences, has an extremely broad range of applications. However, many books on the subject provide only a theoretical approach, making it difficult for a newcomer to grasp the subject material. This book provides a more practical approach by explaining the concepts of machine learning algorithms and describing the areas of application for each algorithm, using simple practical examples to demonstrate each algorithm and showing how different issues related to these algorithms are applied.

Machine Learning and Data Mining in Pattern Recognition

Автор: Petra Perner
Название: Machine Learning and Data Mining in Pattern Recognition
ISBN: 3642030696 ISBN-13(EAN): 9783642030697
Издательство: Springer
Рейтинг:
Цена: 18167.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: 6th International Conference MLDM 2009 Leipzig Germany July 2325 2009 Proceedings. .

Artificial Neural Networks and Machine Learning -- ICANN 2014

Автор: Stefan Wermter; Cornelius Weber; Wlodzislaw Duch;
Название: Artificial Neural Networks and Machine Learning -- ICANN 2014
ISBN: 3319111787 ISBN-13(EAN): 9783319111780
Издательство: Springer
Рейтинг:
Цена: 13416.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The book constitutes the proceedings of the 24th International Conference on Artificial Neural Networks, ICANN 2014, held in Hamburg, Germany, in September 2014. The 107 papers included in the proceedings were carefully reviewed and selected from 173 submissions. The focus of the papers is on following topics: recurrent networks;

Advanced Machine Learning Technologies and Applications

Автор: Aboul Ella Hassanien; Abdel-Badeeh M. Salem; Rabie
Название: Advanced Machine Learning Technologies and Applications
ISBN: 3642353258 ISBN-13(EAN): 9783642353253
Издательство: Springer
Рейтинг:
Цена: 6986.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book constitutes the refereed proceedings of the First International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2012, held in Cairo, Egypt, in December 2012.

Machine Learning and Cognition in Enterprises

Автор: Rohit Kumar
Название: Machine Learning and Cognition in Enterprises
ISBN: 148423068X ISBN-13(EAN): 9781484230688
Издательство: Springer
Рейтинг:
Цена: 5309.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:
Chapter 1: Journey of Business IntelligenceChapter Goal: How and why Business Intelligence term was coined. What were the various phases of the same and until now why need is there to move to a different model with focus on Cognitive computing is required?No of pages: 20-25Sub -Topics1. Business Intelligence 2. Why it started?3. Initial use cases4. Later use cases5. Shifting paradigm of Business Intelligence 6. Case Studies to differentiate
Chapter 2: Why Cognitive and Machine LearningChapter Goal: This chapter moves around as extension to previous one and covers why cognitive was a natural choice of evolutionNo of pages: 4-5Sub - Topics 1. Why Machine Learning and Artificial Intelligence were required2. Why towards cognitive
Chapter 3: Machine Learning BasicsChapter Goal: Introduction to Machine Learning basic and business examples to understand Business Intelligence.No of pages: 30-35Sub - Topics: 1. Definition2. Problem and task differentiation3. Approaches to Machine Learning4. Knowledge Discovery and search Methods5. Statistics part of it6. Applications 7. Business use case examples
Chapter 4: Artificial Intelligence BasicsChapter Goal: Introduction to Artificial Learning basics and business examples to understand usability from business user perspective.No of pages: 20-25Sub - Topics: 1. Background and Overview2. Why Artificial Intelligence 3. Tools and approaches4. Applications5. Business use case examples
Chapter 5: Natural language ProcessingChapter Goal: Introduction to Natural Language processing basics and examples to understand usability user perspective Pages: 20-251. Overview2. NLP and Machine Learning3. How it works4. Business use case examples
Chapter 6: Predictive analyticsChapter Goal: Introduction to basics and examples to understand Business Intelligence from business user perspective Pages: 30-351. Overview2. Types3. Applications4. Tools5. Business use case examples
Chapter 7: Cognitive ComputingChapter Goal: Introduction to basics and examples to understand Business Intelligence from business user perspective Pages: 30-351. What is cognition2. Cognitive Architecture3. Cognitive Computing Overview4. Why cognitive5. How much is available now6. Cognitive computer7. Applications8. Business use cases

Chapter 8: Principle for cognitive designed systemsChapter Goal: Introduction to concept. How a problem to solution map is created for enterprise IT - Business Intelligence landscape to create a cognitive and learning system. Pages: 35-401. What it means2. Approach3. Cognitive Work Analysis4. Functional Workspace design5. Corpus building and indexing6. Sources of data and knowledge7. Training cognitive systems8. Interfaces9. Do they fail too?10. Components of Machine Learning and Artificial Intelligence
Chapter 9: New Term: Self/Parallel Evolving IT-Business Intelligence systemsChapter Goal: I have come up with this new concept and termed it as above. This has been largely appreciated and is

Artificial Neural Networks and Machine Learning -- ICANN 2013

Автор: Valeri Mladenov; Petia Koprinkova-Hristova; G?nthe
Название: Artificial Neural Networks and Machine Learning -- ICANN 2013
ISBN: 3642407277 ISBN-13(EAN): 9783642407277
Издательство: Springer
Рейтинг:
Цена: 6986.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The focus of the papers is on following topics: neurofinance graphical network models, brain machine interfaces, evolutionary neural networks, neurodynamics, complex systems, neuroinformatics, neuroengineering, hybrid systems, computational biology, neural hardware, bioinspired embedded systems, and collective intelligence.

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics

Автор: Clara Pizzuti; Marylyn D. Ritchie; Mario Giacobini
Название: Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
ISBN: 3642011837 ISBN-13(EAN): 9783642011832
Издательство: Springer
Рейтинг:
Цена: 9781.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Constitutes the refereed proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2009, held in Tubingen, Germany, in April 2009 co located with the Evo 2009 events. This book includes such topics as biomarker discovery, cell simulation and modeling, and ecological modeling.

Machine Learning

Автор: Flach
Название: Machine Learning
ISBN: 1107422221 ISBN-13(EAN): 9781107422223
Издательство: Cambridge Academ
Рейтинг:
Цена: 7602.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Machine Learning brings together all the state-of-the-art methods for making sense of data. With hundreds of worked examples and explanatory figures, the book explains the principles behind these methods in an intuitive yet precise manner and will appeal to novice and experienced readers alike.


ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
   В Контакте     В Контакте Мед  Мобильная версия