Автор: Rosendo Abellera; Lakshman Bulusu Название: Oracle Business Intelligence with Machine Learning ISBN: 1484232542 ISBN-13(EAN): 9781484232545 Издательство: Springer Рейтинг: Цена: 5309.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Use machine learning and Oracle Business Intelligence Enterprise Edition (OBIEE) as a comprehensive BI solution. This book follows a when-to, why-to, and how-to approach to explain the key steps involved in utilizing the artificial intelligence components now available for a successful OBIEE implementation. Oracle Business Intelligence with Machine Learning covers various technologies including using Oracle OBIEE, R Enterprise, Spatial Maps, and machine learning for advanced visualization and analytics. The machine learning material focuses on learning representations of input data suitable for a given prediction problem. This book focuses on the practical aspects of implementing machine learning solutions using the rich Oracle BI ecosystem. The primary objective of this book is to bridge the gap between the academic state-of-the-art and the industry state-of-the-practice by introducing you to machine learning with OBIEE. What You Will Learn
See machine learning in OBIEE
Master the fundamentals of machine learning and how it pertains to BI and advanced analytics
Gain an introduction to Oracle R Enterprise
Discover the practical considerations of implementing machine learning with OBIEE
Who This Book Is ForAnalytics managers, BI architects and developers, and data scientists.
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. .
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: Luis Arg?elles Mendez Название: A Practical Introduction to Fuzzy Logic using LISP ISBN: 3319231855 ISBN-13(EAN): 9783319231853 Издательство: Springer Рейтинг: Цена: 19591.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book makes use of the LISP programming language to provide readers with the necessary background to understand and use fuzzy logic to solve simple to medium-complexity real-world problems.
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: 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: 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.
Автор: Hill Название: Learning Scientific Programming with Python ISBN: 1107075416 ISBN-13(EAN): 9781107075412 Издательство: Cambridge Academ Рейтинг: Цена: 13779.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Learn to master basic programming tasks from scratch with real-life scientific examples drawn from many different areas of science and engineering. This complete introduction to using Python teaches Numpy, SciPy and Matplotlib libraries and is supported by extensive online resources to provide a targeted package for students and researchers.
Автор: Nikhil Ketkar Название: Deep Learning with Python ISBN: 1484227654 ISBN-13(EAN): 9781484227657 Издательство: Springer Рейтинг: Цена: 6288.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Chapter 1: An intuitive look at the fundamentals of deep learning based on practical applicationsChapter 2: A survey of the current state-of-the-art implementations of libraries, tools and packages for deep learning and the case for the Python ecosystemChapter 3: A detailed look at Keras [1], which is a high level framework for deep learning suitable for beginners to understand and experiment with deep learningChapter 4: A detailed look at Theano [2], which is a low level framework for implementing architectures and algorithms in deep learning from scratchChapter 5: A detailed look at Caffe [3], which is highly optimized framework for implementing some of the most popular deep learning architectures (mainly computer vision)Chapter 6: A brief introduction to GPUs and why they are a game changer for Deep LearningChapter 7: A brief introduction to Automatic DifferentiationChapter 8: A brief introduction to Backpropagation and Stochastic Gradient DescentChapter 9: A survey of Deep Learning ArchitecturesChapter 10: Advice on running large scale experiments in deep learning and taking models to productionChapter 11: Introduction to TensorflowChapter 12: Introduction to PyTorchChapter 13: Regularization TechniquesChapter 14: Training Deep Leaning Models
Автор: Foy Brian D., Phoenix Tom, Schwartz Randal L. Название: Learning Perl: Making Easy Things Easy and Hard Things Possible ISBN: 1491954329 ISBN-13(EAN): 9781491954324 Издательство: Wiley Рейтинг: Цена: 5067.00 р. Наличие на складе: Поставка под заказ.
Описание: Popularly known as "the Llama," Learning Perl is the book most programmers rely on to get started with this versatile language. The bestselling Perl tutorial since it was first published in 1993, this sixth edition includes recent changes to the language up to Perl 5.24.
Автор: Watson, Des Название: Practical approach to compiler construction ISBN: 3319527878 ISBN-13(EAN): 9783319527871 Издательство: Springer Рейтинг: Цена: 6288.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Programming language analysis and translation techniques are used in many software application areas.A Practical Approach to Compiler Construction covers the fundamental principles of the subject in an accessible way.
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