DK Readers L2: Star Wars: R2-D2 and Friends PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download DK Readers L2: Star Wars: R2-D2 and Friends PDF full book. Access full book title DK Readers L2: Star Wars: R2-D2 and Friends by Simon Beecroft. Download full books in PDF and EPUB format.
Author: Simon Beecroft
Publisher: Penguin
ISBN: 1465415289
Category : Juvenile Nonfiction
Languages : en
Pages : 35
Get Book Here
Book Description
DK's Star Wars Readers help kids learn to read while enjoying the stories and characters from the blockbuster movies. Get your child hooked on reading as they meet R2-D2 and other exciting Star Wars characters! Packed with full-color photographs and engaging, age-appropriate stories, the ebooks introduce young children to a life-long love of reading. These amazing stories are guaranteed to capture children's interest while developing their reading skills. They're also perfect for reading together! © 2012 Lucasfilm Ltd.
Author: Simon Beecroft
Publisher: Penguin
ISBN: 1465415289
Category : Juvenile Nonfiction
Languages : en
Pages : 35
Get Book Here
Book Description
DK's Star Wars Readers help kids learn to read while enjoying the stories and characters from the blockbuster movies. Get your child hooked on reading as they meet R2-D2 and other exciting Star Wars characters! Packed with full-color photographs and engaging, age-appropriate stories, the ebooks introduce young children to a life-long love of reading. These amazing stories are guaranteed to capture children's interest while developing their reading skills. They're also perfect for reading together! © 2012 Lucasfilm Ltd.
Author: DK
Publisher: Dorling Kindersley Ltd
ISBN: 1409367746
Category : Juvenile Nonfiction
Languages : en
Pages : 28
Get Book Here
Book Description
Learn about the dark side of the force with Star Wars Beware the Dark Side, a Level 4 DK Reader, now in ebook format. Help your child develop their reading skills, while they explore the world of the evil Darth Sidious, Darth Maul and Darth Vader. Filled with pictures of all your favourite stih characters it's an out-of-this world read with rich vocabulary and challenging sentence structure, additional information, alphabetical glossary and index to help challenge growing readers and build literacy skills. Read them together with children who are reading alone and with reluctant readers. Star Wars Beware the Dark Side is perfect to read together and you'll both love the exciting images.
Author: Christopher D. Manning
Publisher: Cambridge University Press
ISBN: 1139472100
Category : Computers
Languages : en
Pages :
Get Book Here
Book Description
Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.
Author: Marc Peter Deisenroth
Publisher: Cambridge University Press
ISBN: 1108569323
Category : Computers
Languages : en
Pages : 392
Get Book Here
Book Description
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: Anna R. Karlin
Publisher: American Mathematical Soc.
ISBN: 1470419823
Category : Mathematics
Languages : en
Pages : 400
Get Book Here
Book Description
We live in a highly connected world with multiple self-interested agents interacting and myriad opportunities for conflict and cooperation. The goal of game theory is to understand these opportunities. This book presents a rigorous introduction to the mathematics of game theory without losing sight of the joy of the subject. This is done by focusing on theoretical highlights (e.g., at least six Nobel Prize winning results are developed from scratch) and by presenting exciting connections of game theory to other fields such as computer science (algorithmic game theory), economics (auctions and matching markets), social choice (voting theory), biology (signaling and evolutionary stability), and learning theory. Both classical topics, such as zero-sum games, and modern topics, such as sponsored search auctions, are covered. Along the way, beautiful mathematical tools used in game theory are introduced, including convexity, fixed-point theorems, and probabilistic arguments. The book is appropriate for a first course in game theory at either the undergraduate or graduate level, whether in mathematics, economics, computer science, or statistics. The importance of game-theoretic thinking transcends the academic setting—for every action we take, we must consider not only its direct effects, but also how it influences the incentives of others.
Author: Lisa Stock
Publisher:
ISBN: 9781643106885
Category :
Languages : en
Pages : 24
Get Book Here
Book Description
Featuring high-quality images from smash-hit Star Wars films and TV series, this Level 1 reader takes a close look at the coolest droids in the galaxy, from new favorites BB-8, K-2SO and Chopper to treasured old friends from the classic saga, C-3PO and R2-D2.
Author:
Publisher:
ISBN: 9780241279977
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Paulo Ribenboim
Publisher: Springer Science & Business Media
ISBN: 0387227547
Category : Mathematics
Languages : en
Pages : 384
Get Book Here
Book Description
This selection of expository essays by Paulo Ribenboim should be of interest to mathematicians from all walks. Ribenboim, a highly praised author of several popular titles, writes each essay in a light and humorous language without secrets, making them thoroughly accessible to everyone with an interest in numbers. This new collection includes essays on Fibonacci numbers, prime numbers, Bernoulli numbers, and historical presentations of the main problems pertaining to elementary number theory, such as Kummers work on Fermat's last theorem.
Author: Steven S. Skiena
Publisher: Springer
ISBN: 3319554441
Category : Computers
Languages : en
Pages : 456
Get Book Here
Book Description
This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com)
Author: Kate Hayden
Publisher: Penguin
ISBN: 0756670004
Category : Juvenile Nonfiction
Languages : en
Pages : 36
Get Book Here
Book Description
Twisters! begins with the story of Rob, a farmer in Texas, who is suddenly caught up in a tornado that smashes the windows of his house and hurls his truck into the sky. The book then moves on to factual information about how tornadoes form, how they cause damage, and how scientists track them and warn people to take shelter.
