This unique book explores several well-known machine learning and data analysis algorithms from a mathematical and programming perspective. The authors present machine learning methods, review the underlying mathematics, and provide programming exercises to deepen the reader’s understanding; accompany application areas with exercises that explore the unique characteristics of real-world data sets (e.g., image data for pedestrian detection, biological cell data); and provide new terminology and background information on mathematical concepts, as well as exercises, in “info-boxes” throughout the text. Algorithmic Mathematics in Machine Learning is intended for mathematicians, computer scientists, and practitioners who have a basic mathematical background in analysis and linear algebra but little or no knowledge of machine learning and related algorithms. Researchers in the natural sciences and engineers interested in acquiring the mathematics needed to apply the most popular machine learning algorithms will also find this book useful. This book is appropriate for a practical lab or basic lecture course on machine learning within a mathematics curriculum.
Required reading ... Brock Bastian expertly picks apart the fundamental idea that humans thrive when they approach pleasure and avoid pain, explaining why hardship sometimes yields richer lives that are laden with meaning, deep social connections, and unexpected bliss' Adam Alter, author of Drunk Tank Pink In today's culture, happiness has become the new marker of success, while hardships are viewed as personal weaknesses, or problems to be fixed. We increasingly try to eradicate pain through medication and by insulating ourselves from risk and offence, despite being the safest generation to have ever lived. Yet in his research, renowned social psychologist Brock Bastian has found that suffering and sadness are neither antithetical to happiness nor incidental to it: they are a necessary ingredient for emotional well-being. Drawing on psychology, neuroscience and internationally acclaimed findings from Bastian's own lab, The Other Side of Happiness encourages us to take a more fearless approach to living. The most thrilling moments of our lives are often balanced on a knife edge between pleasure and pain, whether it is finding your true love, holding your new-born for the first time, finishing a marathon or even plunging into an icy sea. This is because pain and the threat of loss quite literally increase our capacity for happiness, as Bastian reveals, making us stronger, more resilient, more connected to other people and more attuned to what truly matters. Pain even makes us more mindful, since in our darkest moments we are especially focused and aware of the world around us. Our addiction to positivity and the pursuit of pleasure is actually making us miserable. Brock Bastian shows that, without some pain, we have no real way to achieve and appreciate the kind of happiness that is true and transcendent.
This book provides a comprehensive review of the evolution of traits associated with predation and predator defense for bats and all of their prey, both invertebrates (e.g. insects) and vertebrates (e.g. frogs), in the context of co-evolution. It reviews current knowledge of how echolocation and passive hearing are used by bats to hunt prey in complete darkness. Also it highlights how prey have evolved counter measures to bat echolocation to avoid detection and capture. This includes the whole range of prey responses from being active at times when bats are inactive to the use of acoustic signals of their own to interfere with the echolocation system of bats.
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