Showing results for "William" in Mathematics

In the 18th century, the British minister and mathematician Thomas Bayes devised a theorem that allowed him to assign probabilities to events that had never happened before. It languished in obscurity for centuries until computers came along and made it easy to crunch the numbers. Now, as the foundation of big data, Bayes's formula has become a linchpin of the digital economy. But here's where things get interesting: Bayes's theorem can also be used to lay odds on the existence of extraterrestrial intelligence, and on the biggest question of all: how long will humanity survive?

Thirteen volumes of mathematical definitions, propositions and proofs. Writing in 300 BC, Euclid could not have known his logic would go unsurpassed until the 19th century or that his writings were laying down the very foundations of human knowledge. Wardhaugh blasts the dust from Euclid’s legacy to offer not only a vibrant history of mathematics, told through people and invention, but also a broader story of culture.

Rich tasks, collaborative work, number talks, problem-based learning, direct instruction…with so many possible approaches, how do we know which ones work the best? In Visible Learning for Mathematics, six acclaimed educators assert it’s not about which one—it’s about when—and show you how to design high-impact instruction so all students demonstrate more than a year’s worth of mathematics learning for a year spent in school.

What has counting meant to different cultures and different individuals? In this book, historian and mathematician Benjamin Wardhaugh explores stories from all over the world and from every period of human history, from the African Stone Age to cyberspace; from Assyrian kings to Chinese peasants. Weaving these histories together, Wardhaugh shows the ways in which counting has been continually reinvented over time, through language, writing, counters and machines.

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.

The world is constantly changing and evolving. Transportation was revolutionized by cars and planes; however, machine learning will revolutionize the world in which we live from simple day-to-day tasks to even the most complex endeavors. You will learn the fundamentals of machine learning from algorithms, Python, and supervised and unsupervised learning. You will also learn about the real world applications, implications, and theories of Markov models.

Do you want to master data science? Understand Markov models and learn the real world application to accurately predict future events. Extend your knowledge of machine learning, python programming, and algorithms. The objective of this book is to teach you the essentials at the most fundamental level. You will learn the ins and outs of machine learning, and its real world applications. Also, specifically you will discover practical implementations of Markov models in Python programming.

En uformel podcast, hvor vi snakker med en ekspert om datalogi, kunstig intelligens, startups, og alt derimellem. Lyt med, mens vi langsomt men sikkert bliver både klogere og fuldere. #agile #scrum

The Intelligence Future: Exploring the Power and Potential of Artificial Intelligence" is a detailed analysis of artificial intelligence (AI). This Book provides a complete examination of AI, highlighting its advancement across time and current importance. The fundamental concepts and terminologies of artificial intelligence, including machine learning, neural networks, and natural language processing, are explored.