Cambridge Express Primer A With Audio Cd
Author | : Barker Ian |
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ISBN | : 9781107401037 |
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Author | : Barker Ian |
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Total Pages | : |
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ISBN | : 9781107401037 |
Author | : Sneh Bhatt |
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ISBN | : 9781107401044 |
Author | : Sneh Bhatt |
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ISBN | : 9780521742306 |
Author | : Ian Barker |
Publisher | : |
Total Pages | : 104 |
Release | : 2009-02-26 |
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ISBN | : 9780521742962 |
Author | : Ian Barker |
Publisher | : |
Total Pages | : 120 |
Release | : 2009-02-05 |
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ISBN | : 9780521742986 |
Author | : Bhatt |
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ISBN | : 9781107400900 |
Author | : David Crystal |
Publisher | : Cambridge University Press |
Total Pages | : 227 |
Release | : 2012-03-29 |
Genre | : Foreign Language Study |
ISBN | : 1107611806 |
Written in a detailed and fascinating manner, this book is ideal for general readers interested in the English language.
Author | : Stephen Boyd |
Publisher | : Cambridge University Press |
Total Pages | : 477 |
Release | : 2018-06-07 |
Genre | : Business & Economics |
ISBN | : 1316518965 |
A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.
Author | : Marc Peter Deisenroth |
Publisher | : Cambridge University Press |
Total Pages | : 392 |
Release | : 2020-04-23 |
Genre | : Computers |
ISBN | : 1108569323 |
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.
Author | : Jessamyn Conrad |
Publisher | : Simon and Schuster |
Total Pages | : 337 |
Release | : 2012-01-12 |
Genre | : History |
ISBN | : 1611459621 |
Now in its second edition, here is one of the first and only issue-based nonpartisan guides to contemporary American politics. It’s a very exciting time in American politics. Voter turnout in primaries and caucuses across the nation has shattered old records. More than ever, in this election year people are paying attention to the issues. But in a world of sound bites and deliberate misinformation and a political scene that is literally colored by a partisan divide—blue vs. red—how does the average educated American find a reliable source that’s free of political spin? What You Should Know About Politics . . . But Don’t breaks it all down, issue by issue, explaining who stands for what, and why, whether it’s the economy, the war in Iraq, health care, oil and renewable energy sources, or climate change. If you’re a Democrat, a Republican, or somewhere in between, it’s the perfect book to brush up on a single topic or read through to get a deeper understanding of the often mucky world of American politics.