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An accessible introduction to applied data science and machine learning, with minimal math and code required to master the foundational and technical aspects of data science. In Just Enough Data Science and Machine Learning, authors Mark Levene and Martyn Harris present a comprehensive and accessible introduction to data science. It allows the readers to develop an intuition behind the methods adopted in both data science and machine learning, which is the algorithmic component of data science involving the discovery of patterns from input data. This book looks at data science from an applied perspective, where emphasis is placed on the algorithmic aspects of data science and on the fundamental statistical concepts necessary to understand the subject. The book begins by exploring the nature of data science and its origins in basic statistics. The authors then guide readers through the essential steps of data science, starting with exploratory data analysis using visualisation tools. They explain the process of forming hypotheses, building statistical models, and utilising algorithmic methods to discover patterns in the data. Finally, the authors discuss general issues and preliminary concepts that are needed to understand machine learning, which is central to the discipline of data science. The book is packed with practical examples and real-world data sets throughout to reinforce the concepts. All examples are supported by Python code external to the reading material to keep the book timeless. Notable features of this book: Clear explanations of fundamental statistical notions and concepts Coverage of various types of data and techniques for analysis In-depth exploration of popular machine learning tools and methods Insight into specific data science topics, such as social networks and sentiment analysis Practical examples and case studies for real-world application Recommended further reading for deeper exploration of specific topics.
This collection of essays proposes that climate change means serious peril. Our argument, however, is not about the science per se. It is about us, our deep and more recent history, and how we arrived at this calamitous impasse. With contributions from academic activists and independent researchers, History at the End of the World challenges advocates of 'business as usual' to think again. But in its wide-ranging assessment of how we transcend the current crisis, it also proposes that the human past could be our most powerful resource in the struggle for survival. Our approaches begin from archaeology, literature, religion, psychology, sociology, philosophy of science, engineering and sustainable development, as well as 'straight' history. Mark Levene is Reader in Comparative History at the University of Southampton, Rob Johnson is a historian at All Souls College, Oxford, and Penny Roberts is Associate Professor in History at the University of Warwick.
Most books on genocide consider it as a twentieth-century phenomenon. In The Rise of the West and the Coming of Genocide, Levene argues that this approach doesn't grasp its true origins. Genocide developed out of modernity and the striving for the nation-state, both essentially Western experiences. European expansion fuelled its pre-1914 emergence.
This book is a second edition, updated and expanded to explain the technologies that help us find information on the web. Search engines and web navigation tools have become ubiquitous in our day to day use of the web as an information source, a tool for commercial transactions and a social computing tool.
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