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The smartphones in our pockets and computers like brains. The vagaries of game theory and evolutionary biology. Nanotechnology and nuclear weapons. All bear the fingerprints of one remarkable man- John von Neumann. Born in Budapest at the turn of the century, von Neumann is one o...f the most influential scientists to have ever lived. His colleagues believed he had the fastest brain on the planet - bar none. He was instrumental in the Manhattan Project and helped formulate the bedrock of Cold War geopolitics and modern economic theory. He created the first ever programmable digital computer. He prophesied the potential of nanotechnology and, from his deathbed, expounded on the limits of brains and computers - and how they might be overcome. Taking us on an astonishing journey, Ananyo Bhattacharya explores how a combination of genius and unique historical circumstance allowed a single man to sweep through so many different fields of science, sparking revolutions wherever he went. Insightful and illuminating, The Man from the Future is a thrilling intellectual biography of the visionary thinker who shaped our century.
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Lauren Ipsum introduces kids to computer science through a whimsical story that never once mentions computers!
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Design Journeys for Complex Systems is a designer's handbook to learn systemic design tools to engage stakeholder groups in collaborative design to address complex societal systems.
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A compact and accessible history, from punch cards and calculators to UNIVAC and ENIAC, the personal computer, Silicon Valley, and the Internet.
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Computers form a vital part of most people's lives. But what is the nature of the computer? How does it work? What will the next generations of computers look like? Darrel Ince looks at the basic concepts behind all computers; the range of their uses, the effects of computers in ...the workplace, and novel forms such as quantum computers.
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Luciano Floridi presents a book that will set the agenda for the philosophy of information -- the study of the nature of information and the development of information-theoretic and computational methodologies for philosophy. It revitalizes old philosophical questions, poses new ...problems, and it has already produced a wealth of important results.
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Key Features: * Introduction to Scratch* Easy to follow examples* Step-by-step guide This book is for kids and their parents who want to learn to program while creating games. No programming experience needed!
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Helps you restore your Windows 7 PC to peak performance - without spending a lot of money! This book shows you how to take the necessary steps to clean up your Windows PC and restore the speed, responsiveness, reliability, and error-free operation that it had when it was brand ne...w.
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A fantasy whodunit for the digital age that introduces the concepts behind search algorithms and important data structures, through the medium of a mystery novel.
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THE ALGORITHM KNEW YOU NEEDED ALGORITHMS FOR DUMMIES
Algorithms For Dummies 2nd Edition will explain the basics of what algorithms are, how they work, where they are in our lives, and how to create them yourself. Whether you're an internet user who is curious about the way algor...ithms affect your online habits, or a computer science student who wants to build a foundation in understanding algorithms, this book can get you started in the right direction.
UPDATES:
Use pure Python and avoid third party libraries.
Create a NumPy replacement in a separate chapter near the beginning that includes:
A matrix computation class for matrix operations
Special classes for certain operations, such stacking or queuing
Get rid of Anaconda and use Google Colab exclusively (this would get rid of the compatibility messages and significantly reduce the amount of introductory materials-we could possibly get rid of Chapter 3 or at least make it much smaller).
Modify the "Downloading the Datasets and Example Code" section of Chapter 3 specifically for Google Colab and place it at the end of Chapter 1 if we decide to get rid of Chapter 3.
Create an online repository for the datasets and source code, likely using GitHub. This would allow us to provide updates to the source code when readers find errors and ensure that the right versions of the datasets remain available.
Remove Chapter 4 entirely and point the reader to online tutorials instead (this was the most unpopular chapter in the book).
Use more step-by-step instructions when possible.
Add more graphics (I'm very good with mechanical type drawings and there is a lot to be said for graphs/charts).
Use more real world/historical examples if possible (they're extremely popular).
Add a chapter on logistic regression (quite a few of our readers have requested one since we already cover linear programming in Chapter 19).
Add other useful algorithms if space allows.
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