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Automated Machine Learning for Business, R. Larsen Kai, Becker Daniel S.


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Цена: 5780.00р.
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Автор: R. Larsen Kai, Becker Daniel S.
Название:  Automated Machine Learning for Business
Перевод названия: Кай Р. Ларсен, Даниэль С. Бекер: Автоматизированное машинное обучение для бизнеса
ISBN: 9780190941666
Издательство: Oxford Academ
Классификация:


ISBN-10: 0190941669
Обложка/Формат: Paperback
Страницы: 352
Вес: 0.57 кг.
Дата издания: 10.06.2021
Язык: English
Иллюстрации: 186 b/w illustrations; 186 b/w illustrations
Размер: 25.15 x 17.27 x 2.03 cm
Читательская аудитория: General (us: trade)
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание:
Teaches the machine learning process for business students and professionals using automated machine learning, a new development in data science that requires only a few weeks to learn instead of years of training

Though the concept of computers learning to solve a problem may still conjure thoughts of futuristic artificial intelligence, the reality is that machine learning algorithms now exist within most major software, including Websites and even word processors. These algorithms are transforming society
in the most radical way since the Industrial Revolution, primarily through automating tasks such as deciding which users to advertise to, which machines are likely to break down, and which stock to buy and sell. While this work no longer always requires advanced technical expertise, it is crucial
that practitioners and students alike understand the world of machine learning.

In this book, Kai R. Larsen and Daniel S. Becker teach the machine learning process using a new development in data science: automated machine learning (AutoML). AutoML, when implemented properly, makes machine learning accessible by removing the need for years of experience in the most arcane
aspects of data science, such as math, statistics, and computer science. Larsen and Becker demonstrate how anyone trained in the use of AutoML can use it to test their ideas and support the quality of those ideas during presentations to management and stakeholder groups. Because the requisite
investment is a few weeks rather than a few years of training, these tools will likely become a core component of undergraduate and graduate programs alike.

With first-hand examples from the industry-leading DataRobot platform, Automated Machine Learning for Business provides a clear overview of the process and engages with essential tools for the future of data science.



Practical Automated Machine Learning on Azure

Автор: Mukunthu Deepak, Shah Parashar, Tok Wee Hyong
Название: Practical Automated Machine Learning on Azure
ISBN: 149205559X ISBN-13(EAN): 9781492055594
Издательство: Wiley
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Цена: 7602.00 р.
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Описание: Develop smart applications without spending days and weeks building machine-learning models. With this practical book, you`ll learn how to apply Automated Machine Learning, a process that uses machine learning to help people build machine learning models.

Automated Reasoning for Systems Biology and Medicine

Автор: Pietro Lio and Paolo Zuliani
Название: Automated Reasoning for Systems Biology and Medicine
ISBN: 3030172961 ISBN-13(EAN): 9783030172961
Издательство: Springer
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Цена: 13974.00 р.
Наличие на складе: Поставка под заказ.

Описание: This book presents outstanding contributions in an exciting, new and multidisciplinary research area: the application of formal, automated reasoning techniques to analyse complex models in systems biology and systems medicine. Automated reasoning is a field of computer science devoted to the development of algorithms that yield trustworthy answers, providing a basis of sound logical reasoning. For example, in the semiconductor industry formal verification is instrumental to ensuring that chip designs are free of defects (or "bugs").

Over the past 15 years, systems biology and systems medicine have been introduced in an attempt to understand the enormous complexity of life from a computational point of view. This has generated a wealth of new knowledge in the form of computational models, whose staggering complexity makes manual analysis methods infeasible. Sound, trusted, and automated means of analysing the models are thus required in order to be able to trust their conclusions.

Above all, this is crucial to engineering safe biomedical devices and to reducing our reliance on wet-lab experiments and clinical trials, which will in turn produce lower economic and societal costs. Some examples of the questions addressed here include: Can we automatically adjust medications for patients with multiple chronic conditions? Can we verify that an artificial pancreas system delivers insulin in a way that ensures Type 1 diabetic patients never suffer from hyperglycaemia or hypoglycaemia? And lastly, can we predict what kind of mutations a cancer cell is likely to undergo? This book brings together leading researchers from a number of highly interdisciplinary areas, including: * Parameter inference from time series * Model selection * Network structure identification * Machine learning * Systems medicine * Hypothesis generation from experimental data * Systems biology, systems medicine, and digital pathology * Verification of biomedical devices "This book presents a comprehensive spectrum of model-focused analysis techniques for biological systems ...An essential resource for tracking the developments of a fast moving field that promises to revolutionize biology and medicine by the automated analysis of models and data."Prof Luca Cardelli FRS, University of Oxford

Computational Intelligence for Machine Learning and Healthcare Informatics

Автор: Rajshree Srivastava, Pradeep Kumar Mallick, Siddha
Название: Computational Intelligence for Machine Learning and Healthcare Informatics
ISBN: 3110647826 ISBN-13(EAN): 9783110647822
Издательство: Walter de Gruyter
Цена: 20446.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS
By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.

Applications of Artificial Intelligence in Electrical Engineering

Автор: Saifullah Khalid
Название: Applications of Artificial Intelligence in Electrical Engineering
ISBN: 1799827186 ISBN-13(EAN): 9781799827184
Издательство: Mare Nostrum (Eurospan)
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Цена: 42451.00 р.
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Описание: Artificial intelligence is increasingly finding its way into industrial and manufacturing contexts. The prevalence of AI in industry from stock market trading to manufacturing makes it easy to forget how complex artificial intelligence has become. Engineering provides various current and prospective applications of these new and complex artificial intelligence technologies.

Applications of Artificial Intelligence in Electrical Engineering is a critical research book that examines the advancing developments in artificial intelligence with a focus on theory and research and their implications. Highlighting a wide range of topics such as evolutionary computing, image processing, and swarm intelligence, this book is essential for engineers, manufacturers, technology developers, IT specialists, managers, academicians, researchers, computer scientists, and students.

Next Frontier in Agent-based Complex Automated Negotiation

Автор: Katsuhide Fujita; Takayuki Ito; Minjie Zhang; Vale
Название: Next Frontier in Agent-based Complex Automated Negotiation
ISBN: 4431555242 ISBN-13(EAN): 9784431555247
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This book focuses on automated negotiations based on multi-agent systems. The contents will help them to understand the concept of automated negotiations, negotiation protocols, negotiating agents` strategies, and the applications of those strategies.

Automated Reasoning with Analytic Tableaux and Related Methods

Автор: Renate A. Schmidt; Cl?udia Nalon
Название: Automated Reasoning with Analytic Tableaux and Related Methods
ISBN: 331966901X ISBN-13(EAN): 9783319669014
Издательство: Springer
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Цена: 9083.00 р.
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Описание: This book contains the proceedings of the 26th International Conference on Automated Reasoning with Analytics Tableaux and Related Methods, TABLEAUX 2017, held in Brasilia, Bazil, in September 2017.

Automated Deduction – CADE 26

Автор: Leonardo de Moura
Название: Automated Deduction – CADE 26
ISBN: 3319630458 ISBN-13(EAN): 9783319630458
Издательство: Springer
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Цена: 11179.00 р.
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Описание: This book constitutes the proceeding of the 26th International Conference on Automated Deduction, CADE-26, held in Gothenburg, Sweden, in August 2017. The 26 full papers and 5 system descriptions presented were carefully reviewed and selected from 69 submissions.

Principles of Automated Negotiation

Автор: Fatima
Название: Principles of Automated Negotiation
ISBN: 1107002540 ISBN-13(EAN): 9781107002548
Издательство: Cambridge Academ
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Цена: 7602.00 р.
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Описание: With an increasing number of applications in the context of multi-agent systems, automated negotiation is a rapidly growing area. Written by top researchers in the field, this state-of-the-art treatment of the subject explores key issues involved in the design of negotiating agents, covering strategic, heuristic, and axiomatic approaches. The authors discuss the potential benefits of automated negotiation as well as the unique challenges it poses for computer scientists and for researchers in artificial intelligence. They also consider possible applications and give readers a feel for the types of domains where automated negotiation is already being deployed. This book is ideal for graduate students and researchers in computer science who are interested in multi-agent systems. It will also appeal to negotiation researchers from disciplines such as management and business studies, psychology and economics.

Automated machine learning

Название: Automated machine learning
ISBN: 3030053172 ISBN-13(EAN): 9783030053178
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for practitioners aiming to use AutoML in their work.

Automated Planning and Acting

Автор: Ghallab
Название: Automated Planning and Acting
ISBN: 1107037271 ISBN-13(EAN): 9781107037274
Издательство: Cambridge Academ
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Цена: 10613.00 р.
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Описание: Autonomous AI systems need complex computational techniques for planning and performing actions. This textbook presents the most recent and advanced techniques within the field that allow systems such as the Mars rovers, intelligent harbor-management systems, or self-driving cards to act effectively in the real world.

Neural Network Methods in Natural Language Processing

Автор: Goldberg Yoav
Название: Neural Network Methods in Natural Language Processing
ISBN: 1627052984 ISBN-13(EAN): 9781627052986
Издательство: Mare Nostrum (Eurospan)
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Цена: 11504.00 р.
Наличие на складе: Нет в наличии.

Описание: Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries.The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine translation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning.

Advances in Automated Valuation Modeling

Автор: Maurizio d`Amato; Tom Kauko
Название: Advances in Automated Valuation Modeling
ISBN: 3319497448 ISBN-13(EAN): 9783319497440
Издательство: Springer
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Цена: 22359.00 р.
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Описание: This book addresses several problems related to automated valuation methodologies (AVM). Following the non-agency mortgage crisis, it offers a variety of approaches to improve the efficiency and quality of an automated valuation methodology (AVM) dealing with emerging problems and different contexts.


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