Oracle Business Intelligence with Machine Learning, Rosendo Abellera; Lakshman Bulusu
Автор: Andreas L. Symeonidis; Pericles A. Mitkas Название: Agent Intelligence Through Data Mining ISBN: 1441937242 ISBN-13(EAN): 9781441937247 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book addresses the use of data mining for smarter, more efficient agents, as well as the challenge of generating intelligence from data while transferring it to a separate, possibly autonomous, software entity.
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
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
Автор: Zbigniew Michalewicz; Martin Schmidt; Matthew Mich Название: Adaptive Business Intelligence ISBN: 3642069487 ISBN-13(EAN): 9783642069482 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Adaptive business intelligence systems combine prediction and optimization techniques to assist decision makers in complex, rapidly changing environments.
Автор: Valentine Fontama; Roger Barga; Wee Hyong Tok Название: Predictive Analytics with Microsoft Azure Machine Learning 2nd Edition ISBN: 1484212010 ISBN-13(EAN): 9781484212011 Издательство: Springer Рейтинг: Цена: 6288.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Predictive Analytics with Microsoft Azure Machine Learning, Second Edition is a practical tutorial introduction to the field of data science and machine learning, with a focus on building and deploying predictive models.
Описание: Computational collective intelligence (CCI) is most often understood as a subfield of artificial intelligence (AI) dealing with soft computing methods that enable group decisions to be made or knowledge to be processed among autonomous units acting in distributed environments.
Автор: Himansu Sekhar Behera; Durga Prasad Mohapatra Название: Computational Intelligence in Data Mining—Volume 1 ISBN: 8132227328 ISBN-13(EAN): 9788132227328 Издательство: Springer Рейтинг: Цена: 26122.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book is a collection of high-quality peer-reviewed research papers presented in the Second International Conference on Computational Intelligence in Data Mining (ICCIDM 2015) held at Bhubaneswar, Odisha, India during 5 - 6 December 2015.
Автор: Richard Chbeir; Youakim Badr; Ajith Abraham; Aboul Название: Emergent Web Intelligence: Advanced Information Retrieval ISBN: 1447125495 ISBN-13(EAN): 9781447125495 Издательство: Springer Рейтинг: Цена: 27251.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume reviews cutting-edge technologies and insights related to XML-based and multimedia information access and data retrieval. And by applying new techniques to real-world scenarios, it details how organizations can gain competitive advantages.
