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Basic Python for Data Management, Finance, and Marketing : Advance Your Career by Learning the Most Powerful Analytical Tool
Learn how to gather, manipulate, and analyze data with Python. This book is a practical guide to help you get started with Python from ground zero and to the point where you can use coding for everyday tasks. Python is used in all aspects of financial industry, from algo trading, reporting and risk management to building valuations models and predictive machine learning programs. You will: Get started with Python from square one / Extend what's possible on excel with Python / Automate tasks with Python / Analyze data more precisely
Autonomous driving : Technical, legal and social aspects
This book takes a look at fully automated, autonomous vehicles and discusses many open questions: How can autonomous vehicles be integrated into the current transportation system with diverse users and human drivers? Where do automated vehicles fall under current legal frameworks? What risks are associated with automation and how will society respond to these risks? How will the marketplace react to automated vehicles and what changes may be necessary for companies?
Artificial intelligence in the design process : The impact on creativity and team collaboration
Discusses how to include artificial intelligence (AI) systems in the early stages of the design process. Today designers need new tools capable of supporting them in dealing with the increasing project's complexity and empowering their performances and capabilities. AI systems appear to be powerful means to enhance designers' creativity. This assumption was tested in a workshop where sixteen participants collaborated with three AI systems throughout the creative phases of research, sketching, and color selection. Results show that designers can access a broader level of variance and inspiration while reducing the risk of fossilization by triggering lateral thinking through AI-generated data. Therefore, AI could significantly impact the creative phases of the design process if applied consciously. Being AI systems intelligent agents, the book treats the Human-AI collaboration as a collaboration between human agents, proposing a set of guidelines helpful to achieving an efficient partnership with the machine.
Artificial intelligence and machine learning in health care and medical sciences : Best practices and pitfalls
Provides a detailed review of the latest methods and applications of artificial intelligence (AI) and machine learning (ML) in medicine. With chapters focusing on enabling the reader to develop a thorough understanding of the key concepts in these subject areas along with a range of methods and resulting models that can be utilized to solve healthcare problems, the use of causal and predictive models are comprehensively discussed. Care is taken to systematically describe the concepts to facilitate the reader in developing a thorough conceptual understanding of how different methods and resulting models function and how these relate to their applicability to various issues in health care and medical sciences. Guidance is also given on how to avoid pitfalls that can be encountered on a day-to-day basis and stratify potential clinical risks.
Applied mathematics and machine learning
The simultaneous availability of large datasets and high-performance computing capability in recent years has enabled the rapid development of powerful machine learning algorithms. On the one hand, state-of-the-art machine learning techniques have transformed many areas of science and engineering; on the other hand, theoretical discoveries in mathematical algorithms, differential equations, and statistical inferences, to name a few, have provided the foundation for the exploration of new multidisciplinary models for solving practical problems. This Special Issue endeavors to continue the journey that started in our previous Special Issue (Applied Mathematics and Computational Physics) by providing a platform for researchers from both academia and industry, as well as government, to present their new computational methods that have engineering and physics applications.
Anti-fragile ICT Systems
Introduces a novel approach to the design and operation of large ICT systems. It views the technical solutions and their stakeholders as complex adaptive systems and argues that traditional risk analyses cannot predict all future incidents with major impacts. To avoid unacceptable events, it is necessary to establish and operate anti-fragile ICT systems that limit the impact of all incidents, and which learn from small-impact incidents how to function increasingly well in changing environments. The book applies four design principles and one operational principle to achieve anti-fragility for different classes of incidents. It discusses how systems can achieve high availability, prevent malware epidemics, and detect anomalies. Analyses of Netflix’s media streaming solution, Norwegian telecom infrastructures, e-government platforms, and Numenta’s anomaly detection software show that cloud computing is essential to achieving anti-fragility for classes of events with negative impacts.
Advances in Data Mining : Applications in E-Commerce, Medicine, and Knowledge Management
Presents papers describing selected projects on the topic of data mining in fields like e commerce, medicine, and knowledge management. The objective is to report on current results and at the same time to give a review on the present activities in this field in Germany. An effort has been made to include the latest scientific results, as well as lead the reader to the various fields of activity and the problems related to them. Knowledge discovery on the basis of web data is a wide and fast growing area. E commerce is the principal theme of motivation in this field, as companies invest large sums in the electronic market, in order to maximize their profits and minimize their risks. Other applications are telelearning, teleteaching, service support, and citizen information systems. Concerning these applications, there is a great need to understand and support the user by means of recommendation systems, adaptive information systems, as well as by personalization.
Advanced Techniques in Knowledge Discovery and Data Mining
This explosion is a result of the growing use of electronic media. But what is data mining (DM)? A Web search using the Google search engine retrieves many (really many) definitions of data mining. We include here a few interesting ones. One of the simpler definitions is: “As the term suggests, data mining is the analysis of data to establish relationships and identify patterns” [1]. It focuses on identifying relations in data. Our next example is more elaborate: An information extraction activity whose goal is to discover hidden facts contained in databases. Using a combination of machine learning, statistical analysis, modeling techniques and database technology, data mining finds patterns and subtle relationships in data and infers rules that allow the prediction of future results. Typical applications include market segmentation, customer profiling, fraud detection, evaluation of retail promotions, and credit risk analysis .
Abstraction, refinement and proof for probabilistic systems
Probabilistic techniques are increasingly being employed in computer programs and systems because they can increase efficiency in sequential algorithms, enable otherwise nonfunctional distribution applications, and allow quantification of risk and safety in general. This makes operational models of how they work, and logics for reasoning about them, extremely important. Abstraction, Refinement and Proof for Probabilistic Systems presents a rigorous approach to modeling and reasoning about computer systems that incorporate probability. Its foundations lie in traditional Boolean sequential-program logic—but its extension to numeric rather than merely true-or-false judgments takes it much further, into areas such as randomized algorithms, fault tolerance, and, in distributed systems, almost-certain symmetry breaking. The presentation begins with the familiar "assertional" style of program development and continues with increasing specialization: Part I treats probabilistic program logic, including many examples and case studies; Part II sets out the detailed semantics; and Part III applies the approach to advanced material on temporal calculi and two-player games.
Mandibular Implant Prostheses
Combines up-to-date clinical and research information that will help clinicians to advance their theoretical and clinical knowledge on mandibular implant overdentures. Furthermore, it describes treatment considerations for geriatric populations, covering all relevant aspects from physiology to treatment planning and patient management in the surgical and prosthetic phases.
Management of deep carious lesions
Describes the challenges that deep carious lesions pose for dental practitioners, including the risk of endodontic complications and the difficulty of restorative treatment, and identifies options for overcoming these challenges on the basis of the best available evidence. The opening chapter sets the scene by discussing pathophysiology, histopathology, clinical symptomatology, and treatment thresholds. The various treatment options are then systematically presented and reviewed, covering non-selective, stepwise, and selective carious tissue removal and restoration, sealing of lesions using resin sealants or crowns, and non-restorative management approaches. In each case the current evidence with respect to the treatment is carefully evaluated. Advantages and disadvantages are explained and recommendations made on when to use the treatment in question. Illustrative clinical cases and treatment pathways for clinicians are included. This book will be of value for all practitioners who treat dental caries and carious lesions, whether in the permanent or the primary dentition. It will also be of interest to under- and postgraduate students in cariology and restorative, operative, preventive, and pediatric dentistry.
Local Anaesthesia in Dentistry
A comprehensive guide to the use of local anaesthesia in dentistry that will meet the needs of both students and dental practitioners. It provides the reader with ample background information on the origin of pain and the pharmacology of anaesthetics, and describes the anatomy of the trigeminal nerve in detail. Subsequent chapters cover key are as such as general practical aspects, local anesthaesia in the upper and the lower jaw, the use of local anaesthetics in children, local and systematic complications, and the prevention of side effects. Patients at particular risk of adverse effects are identified and attention drawn to significant legal aspects.
Little and Falace's Dental Management of the Medically Compromised Patient ; 9th ed.
Learn how to provide dental care to any patient, regardless of existing medical conditions. Little and Falace’s Dental Management of the Medically Compromised Patient, 9th Edition, has been thoroughly revised to give you the information you need to assess common problems, and make safe and healthy dental management decisions. The new addition includes expanded coverage of women’s health issues and introduces a process for developing a medical-risk source. Also, each chapter features vivid illustrations and well-organized tables to give you in-depth details and overall summaries to help you get to the root of your future patients’ needs.
Clinical Management of Orthodontic Root Resorption
This book in being dedicated solely to root resorption caused by orthodontic tooth movement. While the core content is based on scientific evidence, the book is intended as a practical aid for the clinician who performs orthodontics.
Buildings for Education: A Multidisciplinary Overview of The Design of School Buildings
This book presents theoretical and practical research relating to the vast, publicly financed program for the construction of new schools and the reorganization of existing educational buildings in Italy.
Managing Measurement Risk in Building and Civil Engineering
Managing Measurement Risk in Building and Civil Engineering will help all those who use measurement in their work or deal with the output from the measurement process, to understand not only the ‘ins and outs’ of measuring construction work but also the relationship that measurement has with contracts, procurement, claims and post-contract control in construction. The book is for quantity surveyors, engineers and building surveyors but also for site engineers required to record and measure events on site with a view to establishing entitlement to variations, extras and contractual claims.
Landslide Risk Assessment ; 2nd ed.
Provides guidance to practitioners on establishing the likelihood and extent to which future slope failures could adversely impact society and affect people and property. The only book to focus on risk and landslides, using examples from across the globe, Landslide Risk Assessment examines a variety of approaches to landslide risk assessment and management, introducing the key challenges that practitioners will need to overcome: estimating the probability and consequences of landsliding, combining these to develop a measure of the risk, and making the transition between risk assessment and risk management.
Landslide risk assessment
Over the past decade there has been a gradual shift away from simply relying on engineering solutions to individual landslide problems, to the use of a variety of strategies to manage the problems over a broad area. Such alternative strategies include the use of building codes, land use planning controls, preventing water leakage, early warning systems and insurance schemes. This book addresses these developments and provides a multidisciplinary perspective on landslide management.
Civil engineering for disaster risk reduction
Brings together all diverse disciplines of civil engineering and related areas (for example, geotechnical engineering, water resources engineering, structural engineering, transportation engineering, environmental engineering, construction management, GIS, and remote sensing) towards a common goal of disaster resilience through an interdisciplinary approach. It contains methods and case studies focusing on civil engineering solutions to reduce the disaster risk. The book contents are aligned in line with the priorities set by UN-Sendai Framework for Disaster Risk Reduction and UN-SDGs to promote a global culture of risk-awareness and disaster reduction. The book will be a useful comprehensive reference for disaster risk reduction beneficial for engineering students, teaching faculty, researchers, industry professionals and policymakers.
Blast effects on buildings
Provides the latest practical guidance on designing buildings to optimise their resilience to blast loading. Focused specifically on the design of commercial buildings, it is an indispensible guide to help engineers reduce the risks posed to building occupants and businesses from terrorist and other explosions. This book provides the engineer with a single and comprehensive source of reference for all the main elements of blast engineering design in modern practice. Industry-accepted methods for the design of glazing to resist blast loading are published for the first time, as well as a new chapter on hostile vehicle mitigation techniques. Guidance on structural steelwork and reinforced concrete design is extended and enhanced, supplemented with material on design in new materials such as steel-concrete-steel composites, this latter addition being published for the first time.
