Oxford Reading Tree: Stage 1+ More a Decode and Develop The Bag in the Bin


Book Description

An exciting new set of Biff, Chip and Kipper Stories: Decode and Develop from Roderick Hunt and Alex Brychta full of modern-day appeal. These stories help prepare children for their first steps as readers. Children will enjoy exploring the humorous illustrations and familiar situations.




Oxford Reading Tree: Stage 1 More a Decode and Develop Stop!


Book Description

An exciting new set of Biff, Chip and Kipper Stories: Decode and Develop from Roderick Hunt and Alex Brychta full of modern-day appeal. These stories help prepare children for their first steps as readers. Children will enjoy exploring the humorous illustrations and familiar situations.




Bin Goblins, Level 19


Book Description

The informative and compelling non-fiction titles offer authentic writing styles. The titles include traditional non-fiction text types and features, as well as quirky topics and content that provide a child-friendly way to learn.Stunning photography.Informative illustrations and diagrams.Authentic, child-friendly contexts for teaching reading.All titles can be purchased separately as single titles. For more information, please contact your Oxford Primary Consultant.




The Coding Manual for Qualitative Researchers


Book Description

The Coding Manual for Qualitative Researchers is unique in providing, in one volume, an in-depth guide to each of the multiple approaches available for coding qualitative data. In total, 29 different approaches to coding are covered, ranging in complexity from beginner to advanced level and covering the full range of types of qualitative data from interview transcripts to field notes. For each approach profiled, Johnny Saldaña discusses the method’s origins in the professional literature, a description of the method, recommendations for practical applications, and a clearly illustrated example.




Talking to Strangers


Book Description

Malcolm Gladwell, host of the podcast Revisionist History and author of the #1 New York Times bestseller Outliers, offers a powerful examination of our interactions with strangers and why they often go wrong—now with a new afterword by the author. A Best Book of the Year: The Financial Times, Bloomberg, Chicago Tribune, and Detroit Free Press How did Fidel Castro fool the CIA for a generation? Why did Neville Chamberlain think he could trust Adolf Hitler? Why are campus sexual assaults on the rise? Do television sitcoms teach us something about the way we relate to one another that isn’t true? Talking to Strangers is a classically Gladwellian intellectual adventure, a challenging and controversial excursion through history, psychology, and scandals taken straight from the news. He revisits the deceptions of Bernie Madoff, the trial of Amanda Knox, the suicide of Sylvia Plath, the Jerry Sandusky pedophilia scandal at Penn State University, and the death of Sandra Bland—throwing our understanding of these and other stories into doubt. Something is very wrong, Gladwell argues, with the tools and strategies we use to make sense of people we don’t know. And because we don’t know how to talk to strangers, we are inviting conflict and misunderstanding in ways that have a profound effect on our lives and our world. In his first book since his #1 bestseller David and Goliath, Malcolm Gladwell has written a gripping guidebook for troubled times.




Foundations of Data Science


Book Description

This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.




Oxford Reading Tree: Stage 1+ More a Decode and Develop Stuck!


Book Description

An exciting new set of Biff, Chip and Kipper Stories: Decode and Develop from Roderick Hunt and Alex Brychta full of modern-day appeal. These stories help prepare children for their first steps as readers. Children will enjoy exploring the humorous illustrations and familiar situations.




Oxford Reading Tree: Stage 1 More a Decode and Develop Wheels


Book Description

An exciting new set of Biff, Chip and Kipper Stories: Decode and Develop from Roderick Hunt and Alex Brychta full of modern-day appeal. These stories help prepare children for their first steps as readers. Children will enjoy exploring the humorous illustrations and familiar situations.




Oxford Reading Tree: Stage 1 More a Decode and Develop the Big Spin


Book Description

An exciting new set of Biff, Chip and Kipper Stories: Decode and Develop from Roderick Hunt and Alex Brychta full of modern-day appeal. These stories help prepare children for their first steps as readers. Children will enjoy exploring the humorous illustrations and familiar situations.




Oxford Reading Tree: Stage 1 More a Decode and Develop Next Door


Book Description

An exciting new set of Biff, Chip and Kipper Stories: Decode and Develop from Roderick Hunt and Alex Brychta full of modern-day appeal. These stories help prepare children for their first steps as readers. Children will enjoy exploring the humorous illustrations and familiar situations.