Synopsis coming soon.......

This beautifuly illustrated picture word book contains exactly 199 labelled images of things to be found on a farm. Lots to look at and talk about, this is a great way to extend and broaden children's vocabulary and knowledge of different environments. A neat and practical format, perfect for taking on holiday. Part of the '199 Things' series, which includes '199 Things under the sea', '199 Things in the Garden' and '199 Animals'.

Open out the giant fold-out pages to find out about some of the world's biggest, strongest and tallest machines. Full of the world’s biggest machines found on building sites, farms, airports and dockyards including one of the biggest machines ever, the bucket-wheel excavator used in mining. For the biggest of machines, the book includes two giant foldout pages. This attractive picture book format replaces the original board book format, ISBN 9781409507314.

199 clear, labelled illustrations of a variety of waterborne vessels. Find out about the amazing array of ships and boats that sail our oceans and waterways from rowing boats and kayaks to huge luxury liners. Themes include famous ships, sailing ships, all kinds of boats, battleships, submarines and lots more. Great for developing vocabulary and language skills.

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.

Tracy Kidder's "riveting" (Washington Post) story of one company's efforts to bring a new microcomputer to market won both the Pulitzer Prize and the National Book Award and has become essential reading for understanding the history of the American tech industry. Computers have changed since 1981, when The Soul of a New Machine first examined the culture of the computer revolution. What has not changed is the feverish pace of the high-tech industry, the go-for-broke approach to business that has caused so many computer companies to win big (or go belly up), and the cult of pursuing mind-bending technological innovations. The Soul of a New Machine is an essential chapter in the history of the machine that revolutionized the world in the twentieth century. "Fascinating...A surprisingly gripping account of people at work." --Wall Street Journal

Out of Control chronicles the dawn of a new era in which the machines and systems that drive our economy are so complex and autonomous as to be indistinguishable from living things.