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Fundamentals of Machine Learning for Predictive Data Analytics, second edition
The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice. Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context. This second edition covers recent developments in machine learning, especially in a new chapter on deep learning, and two new chapters that go beyond predictive analytics to cover unsupervised learning and reinforcement learning.
Fundamentals of Machine Learning for Predictive Data Analytics
A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is...
How to Be Massive
You know your one Nikita? You've seen her around town: always within 100 metres of Penneys (where she likes to spend her 'eurdos'), her hair done up in a 'hun bun', sporting her 'masso' runners and her eyebrows on fleek. In How to be Massive Nikita shares her illustrated guide to being massive, from masso make-up to stunnin' accessories, the vital difference between your 'going out' and 'staying in' PJs, as well as life hacks such as places to hide your naggin and how to whiten your runners with toothpaste. Through her popular Instagram account Your One Nikita, illustrator Aoife Dooley has made the spicebag part of our everyday language. Informed by her experiences growing up in Coolock and affectionately parodying fiery working-class Dublin women, it provides the inspiration for her hilarious and brilliantly observed first book, How to Be Massive. C'mon ya pox, buy the book 'Razor-sharp observational humour ... has the zeitgeisty quotability of a contemporary Roddy Doyle.' The Irish Times 'How to Be Massive is funny, affectionate and very, very sharp. Almost social history and always great fun, this book is, well, massive.' Roddy Doyle
Case Studies on Holistic Medical Interventions
The First International Medical Case Reports Conference, 2024(IMED-C) was a pioneering event set to redefine the landscape of medical research and case reporting. This conference was designed to foster collaboration and knowledge exchange among healthcare professionals, researchers, and scholars worldwide. What made this edition exceptional was its virtual online format, breaking down geographical barriers and transforming the way medical knowledge is shared. It was a platform where the latest breakthroughs in medical case reports were unveiled, innovative diagnostic strategies and treatment approaches showcased, and visionary ideas were given a voice. It became a central meeting point for professionals and scholars seeking to share experiences and expertise across borders.
Handbook of the Language Industry
Digital transformation and demographic change are profoundly affecting the contexts in which the language industry operates, the resources it deploys and the roles and skillsets of those it employs. Driven by evolving digital resources and socio-ethical demands, the roles and responsibilities deriving from the proliferation of new and emerging profiles in the language industry are transcending the traditional bounds of core activities and competences associated with prototypical concepts of translation and interpreting. This volume focuses on the realities in the language industry from the fresh perspective of current and emerging professional profiles and of the contexts and resources that ...
The Art of Feature Engineering
A practical guide for data scientists who want to improve the performance of any machine learning solution with feature engineering.
The Digital Transformation of Product Formulation
In competitive manufacturing industries, organizations embrace product development as a continuous investment strategy since both market share and profit margin stand to benefit. Formulating new or improved products has traditionally involved lengthy and expensive experimentation in laboratory or pilot plant settings. However, recent advancements in areas from data acquisition to analytics are synergizing to transform workflows and increase the pace of research and innovation. The Digital Transformation of Product Formulation offers practical guidance on how to implement data-driven, accelerated product development through concepts, challenges, and applications. In this book, you will read a...
Cats, Carpenters, and Accountants
An expansive case for bibliography as infrastructure in information science. Cats, Carpenters, and Accountants argues that bibliography serves a foundational role within information science as infrastructure, and like all infrastructures, it needs and deserves attention. Wayne de Fremery’s thoughtful provocation positions bibliography as a means to serve the many ends pursued by information scientists. He explains that bibliographic practices, such as enumeration and description, lie at the heart of knowledge practices and cultural endeavors, but these kinds of infrastructures are difficult to see. In this book, he reveals them and the ways that they formulate information and meaning, arti...
Computational Analysis of Communication
Provides clear guidance on leveraging computational techniques to answer social science questions In disciplines such as political science, sociology, psychology, and media studies, the use of computational analysis is rapidly increasing. Statistical modeling, machine learning, and other computational techniques are revolutionizing the way electoral results are predicted, social sentiment is measured, consumer interest is evaluated, and much more. Computational Analysis of Communication teaches social science students and practitioners how computational methods can be used in a broad range of applications, providing discipline-relevant examples, clear explanations, and practical guidance. As...
Data Science
A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges. The goal of data science is to improve decision making through the analysis of data. Today data science determines the ads we see online, the books and movies that are recommended to us online, which emails are filtered into our spam folders, and even how much we pay for health insurance. This volume in the MIT Press Essential Knowledge series offers a concise introduction to the emerging field of data science, explaining its evolution, current uses, data infrastructure issues, and ethical challenges. It has ne...
