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Fisher G: Beading With Algorithms:
Cellular Automata In Peyote Stitch

Beading With Algorithms: Cellular Automata In Peyote Stitch

Teaching for mastery is a proven approach to helping primary-aged children learn mathematics. This expert guide focuses on 'why' and particularly 'how' schools might achieve mastery in practice, with concrete examples from the classroom.

How schools can achieve mastery in practice

Teaching Maths for Mastery

Math Survival Guide: Tips for Science Student, 3E

Problem Solving in Mathematics and Beyond

Learning Geometry Through Problem Solving

Chapman & Hall/CRC The R Series

Geocomputation with R is for people who want to analyze, visualize, and model geographic data with open source software. The second edition features numerous updates, including the adoption of the high-performance terra package for all raster data processing.

Geocomputation with R

Aimed at students in mathematics, computer science, statistics, engineering, and physical and life sciences, this book introduces the foundations of tensor decompositions, a data analysis methodology ubiquitous in machine learning, signal processing, neuroscience, quantum computing, financial analysis, market analysis, and image processing.

Tensor Decompositions for Data Science

The Times Su Doku

Challenge your brain with these enjoyable puzzlesThe latest book in The Times Fiendish Su Doku series - previously unpublished quality Su Doku puzzles. Includes 180 Fiendish and 20 Super Fiendish puzzles.

200 Challenging Su Doku Puzzles

The Times Fiendish Su Doku Book 18

From the author of the award-winning Which One Doesn't Belong? and How Many? comes How Did You Count?, the latest title in Christopher Danielson's collection that is sure to spark conversation, questioning and wondering amongst both younger and older students alike.

Picture Book

How Did You Count?

Elite Learning

Maths Age 5-7

This long-awaited second edition folds years of updates into its beginner-friendly lessons on using R for data and statistical analysis. Even with no programming experience, The Book of R, 2nd Edition will teach everything you need to know to use R effectively in statistical analysis and data visualization. Readers will start with the basics, like how to handle data and write simple programs, before learning more advanced topics, like producing statistical models or creating 3D visualizations. More than 30 hands-on exercises (with downloadable solutions) take readers from theory to practice. The second edition has been updated from start to finish, with new content on statistical operations, data plots, date-time objects, and more — including dozens of fresh exercises.

A First Course in Programming and Statistics

The Book of R, 2nd Edition

A one-stop-shop for all the math you should have learned for your programming career. Every great programming challenge has mathematical principles at its heart. Whether you’re optimizing search algorithms, building physics engines for games, or training neural networks, success depends on your grasp of core mathematical concepts.&nbsp; In Math for Programming, you’ll master the essential mathematics that will take you from basic coding to serious software development. You’ll discover how vectors and matrices give you the power to handle complex data, how calculus drives optimization and machine learning, and how graph theory leads to advanced search algorithms. Through clear explanations and practical examples, you’ll learn to: <ul><li>Harness linear algebra to manipulate data with unprecedented efficiency</li><li>Apply calculus concepts to optimize algorithms and drive simulations</li><li>Use probability and statistics to model uncertainty and analyze data</li><li>Master the discrete mathematics that powers&nbsp;modern data structures</li><li>Solve dynamic problems through differential equations</li></ul> Whether you’re seeking to fill gaps in your mathematical foundation or looking to refresh your understanding of core concepts, Math for Programming will turn complex math into a practical tool you’ll use every day.

Math for Programming

AK Peters/CRC Recreational Mathematics Series

Written in a clear, easy-to-understand, and conversational style; and enhanced with challenges and tips to broaden your flexagon skills and spark creativity, this book is a must for flexagon enthusiasts, teachers, students, libraries, mathematicians and everyone who loves to solve a good puzzle.

Fascinating Folded Paper Puzzles

The Secret World of Flexagons

This unique compendium presents the basics of the theory of computing at a level and in a manner that can be easily understood by computer science students in a large university. It offers the student a firm foundation in logical reasoning and covers many traditional topics in unconventional ways.The useful reference text benefits professionals, academics, researchers and undergraduate students in the area of theoretical computer science.

Foundation Of Computation: Languages And Machines

Beading With Algorithms: Cellular Automata In Peyote Stitch

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