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Information Theory, Inference and Learning Algorithms
Table of contents
Sustainable Energy - without the hot air
The enlightening, best-selling book on understanding sustainable energy and how we can make energy plans that add up. If you've ever wondered how much energy we use, and where it comes from – and where it could come from – but are fed up with all the hot air and 'greenwash', this is the book for you. Renewable resources are 'huge', but our energy consumption is also 'huge'. To compare 'huge' things with each other, we need numbers, not adjectives. Sustainable Energy – without the hot air addresses the energy crisis objectively, cutting through all the contradictory statements from the media, government, and lobbies of all sides. It gives you the numbers and the facts you need, in bite-...
Climate Gamble
This is the updated and improved 2017 edition of Climate Gamble. "Climate Gamble - Is Anti-Nuclear Activism Endangering Our Future?" is a thought-provoking, short and easy to read book on one of the biggest problems of our time, climate change, and one of its most misunderstood and misrepresented solution, nuclear power. From the back cover: Humankind has won many great victories in the fight against climate change. However, these victories are rarely acknowledged or reported. Is this because they were won with nuclear power? Preventing dangerous climate change requires world energy production to be almost completely free from fossil fuels by 2050. At the same time, energy consumption keeps ...
Global Carbon Pricing
Why the traditional “pledge and review” climate agreements have failed, and how carbon pricing, based on trust and reciprocity, could succeed. After twenty-five years of failure, climate negotiations continue to use a “pledge and review” approach: countries pledge (almost anything), subject to (unenforced) review. This approach ignores everything we know about human cooperation. In this book, leading economists describe an alternate model for climate agreements, drawing on the work of the late Nobel laureate Elinor Ostrom and others. They show that a “common commitment” scheme is more effective than an “individual commitment” scheme; the latter depends on altruism while the f...
Food and Climate Change without the hot air
Did you know that more than a quarter of the greenhouse-gas emissions that cause climate change come from food? In this ground-breaking and accessible book, Professor Sarah Bridle calculates the greenhouse gas emissions of a selection of our most popular meals and beverages, from a cup of tea and a bowl of cereal to spaghetti bolognese and chicken tikka masala. Breaking down different ingredients and cooking methods to reveal their environmental impact, she finds delicious and sustainable meal alternatives. With this knowledge, we can make a conscious effort to lower our emissions, such as eating more locally grown produce and introducing meat-free days, enabling us to help our planet while ...
Intelligent Data Analysis
This second and revised edition contains a detailed introduction to the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete coverage of the core issues. The first half of the book is devoted to the discussion of classical statistical issues. The following chapters concentrate on machine learning and artificial intelligence, rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a chapter on visualization and an advanced overview of IDA processes.
Probabilistic Machine Learning
A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory. This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers...
Database Technologies: Concepts, Methodologies, Tools, and Applications
"This reference expands the field of database technologies through four-volumes of in-depth, advanced research articles from nearly 300 of the world's leading professionals"--Provided by publisher.
Electrify
An optimistic--but realistic and feasible--action plan for fighting climate change while creating new jobs and a healthier environment: electrify everything. Climate change is a planetary emergency. We have to do something now—but what? Saul Griffith has a plan. In Electrify, Griffith lays out a detailed blueprint—optimistic but feasible—for fighting climate change while creating millions of new jobs and a healthier environment. Griffith’s plan can be summed up simply: electrify everything. He explains exactly what it would take to transform our infrastructure, update our grid, and adapt our households to make this possible. Billionaires may contemplate escaping our worn-out planet o...
Advances in Independent Component Analysis
Independent Component Analysis (ICA) is a fast developing area of intense research interest. Following on from Self-Organising Neural Networks: Independent Component Analysis and Blind Signal Separation, this book reviews the significant developments of the past year. It covers topics such as the use of hidden Markov methods, the independence assumption, and topographic ICA, and includes tutorial chapters on Bayesian and variational approaches. It also provides the latest approaches to ICA problems, including an investigation into certain "hard problems" for the very first time. Comprising contributions from the most respected and innovative researchers in the field, this volume will be of interest to students and researchers in computer science and electrical engineering; research and development personnel in disciplines such as statistical modelling and data analysis; bio-informatic workers; and physicists and chemists requiring novel data analysis methods.
