Ergebnis für "Algorithmen" in Mathematik

In Once Upon an Algorithm, Martin Erwig explains computation as something that takes place beyond electronic computers, and computer science as the study of systematic problem solving. Erwig points out that many daily activities involve problem solving. Getting up in the morning, for example: You get up, take a shower, get dressed, eat breakfast. This simple daily routine solves a recurring problem through a series of well-defined steps. In computer science, such a routine is called an algorithm. 

Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.

Michael Kearns and Aaron Roth explain how we can better embed human principles into machine code - without halting the advance of data-driven scientific exploration. 

Simply put, an algorithm is a set of instructions-it's the code that makes computers run. A basic idea that proved elusive for hundreds of years and bent the minds of the greatest thinkers in the world, the algorithm is what made the modern world possible. Without the algorithm, there would have been no computer, no Internet, no virtual reality, no e-mail, or any other technological advance that we rely on every day.

In today’s data-driven world, maths is a weapon wielded by banks, insurance companies, tech firms, and government agencies. These organizations use sophisticated algorithms to calculate odds, make predictions, uncover patterns, manage risk, and optimize actions. And they treat you as another number to crunch along the way. Robin Hood Maths explains the mathematical methods these companies and agencies use to manipulate and profit off of you.

How the rich and powerful use math to exploit you, and what you can do to beat them at their own game Everything we do today is recorded as data that's sold to the highest bidder. Plugging our personal data into impersonal algorithms has made government agencies more efficient and tech companies...

Artificial Intelligence is transforming the modern world — but beneath the headlines about robots, automation, and smart machines lies something much simpler: the algorithm. These sets of rules, calculations, and logical steps are the beating heart of every intelligent system. In The Basics of AI Algorithms, Julian Vexley breaks down this vast and technical subject into ten clear, accessible chapters designed for the curious reader.

Brought to you by Penguin. The complexity of mathematics - its abstract rules and obscure symbols - can seem very distant from the everyday. There are those things that are real and present, it is supposed, and then there are mathematical concepts: creations of our mind, mysterious tools for...

MODIFIED BABY STEP GIANT STEP ALGORITHM TO SOLVE ELLIPTIC CURVE DISCRETE LOGARITHM PROBLEM (ECDLP)

In today's world, analysis has become an extremely important aspect to consider when you are thinking of starting any new line of business or even when it comes to purchasing a new house. The unfortunate fact is that not many people know what analysis is all about. They tend to assume that each of the elements – analysis, business intelligence, algorithms and statistical analysis – are different entities when in reality they are all interlinked. This book will help you gather a greater insight on all the elements. And you will gain an in-depth knowledge on each of these elements in different parts of the book; helping you to increase your knowledge and widen your horizons!

Its a known fact that computers can store exponential amounts of information on their hard-drives. But our human brains have a set capacity and just cannot compete against technology on this front. Engineers and scientist are discovering ways to model our human brains and integrate certain aspects of it to create what we know as "neural networks". Take this opportunity to learn about the next big innovation in technology and real-world applications of the next potential trillion-dollar industry (artificial intelligence) that will take the world by storm.

Les algorithmes nous entourent, ils sont partout. On les trouve dans nos smartphones, dans nos ordis, dans la cuisine, et même dans nos chambres à coucher. Les plus connus s’appellent ChatGPT, Google, Siri, et ils apprennent de nous et de nos données. Avec Ex Machina, les chercheuses et les chercheurs de l’Université Paris Dauphine–PSL nous emmènent dans leurs réflexions pour mieux comprendre l’intelligence artificielle et ce que son arrivée dans notre quotidien implique pour nous, les humains. Travail, éducation, marketing, sociologie, art, ou encore politique : ...