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Computational Complexity
New and classical results in computational complexity, including interactive proofs, PCP, derandomization, and quantum computation. Ideal for graduate students.
AK CATALOGUE 2021
None
Mathematics for Machine Learning
Distills key concepts from linear algebra, geometry, matrices, calculus, optimization, probability and statistics that are used in machine learning.
Introduction to Probability
Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.
Uniforms of Russian army during the Napoleonic war - Vol. 10
Compiled at Saint Petersburg during the year from 1837 and 1851, the Historical Description of the Clothing and Arms of the Russian Army has had an enormous impact and great importance for the study on the history of Russian costume and uniformology development over the past centuries . There is various ancient editions of the work, Mark Conrad’s translation is the first and the better to remain true to the original structure and essential style of the text. Conrad’s comprehensive translation is an indispensable resource for today's historian, strategists, and scholars. The Viskovatov’s enormous work is based on a great quantity of archival documents and contains four thousand colored and b/w illustrations. It is composed by 30 or 34 volumes (1st edition 1-30, St. Petersburg, 1841-62, and 2nd edition Vols. 1-34, St. Petersburg - Novosibirsk - Leningrad, 1899-1948). The topics discussed start from the early czars until the late nineteenth century. Soldiershop edition add at this important work several new enriched and colorful plates, which together with the unedited publication in English make this collection extremely interesting !
The Art of Game Design
Good game design happens when you view your game from as many perspectives as possible. Written by one of the world's top game designers, The Art of Game Design presents 100+ sets of questions, or different lenses, for viewing a game’s design, encompassing diverse fields such as psychology, architecture, music, visual design, film, software engineering, theme park design, mathematics, puzzle design, and anthropology. This Second Edition of a Game Developer Front Line Award winner: Describes the deepest and most fundamental principles of game design Demonstrates how tactics used in board, card, and athletic games also work in top-quality video games Contains valuable insight from Jesse Schell, the former chair of the International Game Developers Association and award-winning designer of Disney online games The Art of Game Design, Second Edition gives readers useful perspectives on how to make better game designs faster. It provides practical instruction on creating world-class games that will be played again and again.
Seeing Speech
This flip chart enables ready comparison of key images for each consonant and vowel. It is of particular importance for speech-language pathologists working with adults and children to change their articulation of sounds and for students of phonetics as they develop an understanding of the similarities and differences between sounds.
The Algorithmic Beauty of Plants
Now available in an affordable softcover edition, this classic in Springer's acclaimed Virtual Laboratory series is the first comprehensive account of the computer simulation of plant development. 150 illustrations, one third of them in colour, vividly demonstrate the spectacular results of the algorithms used to model plant shapes and developmental processes. The latest in computer-generated images allow us to look at plants growing, self-replicating, responding to external factors and even mutating, without becoming entangled in the underlying mathematical formulae involved. The authors place particular emphasis on Lindenmayer systems - a notion conceived by one of the authors, Aristid Lindenmayer, and internationally recognised for its exceptional elegance in modelling biological phenomena. Nonetheless, the two authors take great care to present a survey of alternative methods for plant modelling.
Understanding Machine Learning
Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.
