Machine Learning: ECML 2001, Luc de Raedt; Peter Flach
Автор: Abhijit Ghatak Название: Machine Learning with R ISBN: 9811068070 ISBN-13(EAN): 9789811068072 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book helps readers understand the mathematics of machine learning, and apply them in different situations. The book will be of interest to all researchers who intend to use R for machine learning, and those who are interested in the practical aspects of implementing learning algorithms for data analysis.
Автор: Shlomi Dolev; Sachin Lodha Название: Cyber Security Cryptography and Machine Learning ISBN: 3319600796 ISBN-13(EAN): 9783319600796 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the first International Symposium on Cyber Security Cryptography and Machine Learning, held in Beer-Sheva, Israel, in June 2017. The 17 full and 4 short papers presented include cyber security; secure software development methodologies, formal methods semantics and verification of secure systems;
Описание: This is the first textbook on a generally applicable control strategy for turbulence and other complex nonlinear systems. In Chapter 5, MLC detects and exploits a strongly nonlinear actuation mechanism of a low-dimensional dynamical system when linear control methods are shown to fail.
Автор: Pardalos Название: Machine Learning, Optimization, and Big Data ISBN: 3319514687 ISBN-13(EAN): 9783319514680 Издательство: Springer Рейтинг: Цена: 9224.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes revised selected papers from the Second International Workshop on Machine Learning, Optimization, and Big Data, MOD 2016, held in Volterra, Italy, in August 2016. The 40 papers presented in this volume were carefully reviewed and selected from 97 submissions.
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.
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;
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: Danish Haroon Название: Python Machine Learning Case Studies ISBN: 1484228227 ISBN-13(EAN): 9781484228227 Издательство: Springer Рейтинг: Цена: 5309.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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. You'll see machine learning techniques that you can use to support your products and services. Moreover you'll 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 you'll 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.
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.
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.
Автор: Holzinger Название: Machine Learning for Health Informatics ISBN: 3319504770 ISBN-13(EAN): 9783319504773 Издательство: Springer Рейтинг: Цена: 10342.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Machine learning (ML) is the fastest growing field in computer science, and Health Informatics (HI) is amongst the greatest application challenges, providing future benefits in improved medical diagnoses, disease analyses, and pharmaceutical development.
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.
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