This handy tear-off pad is bursting with multiplication sums for children to practise their times tables. Kids can refresh, improve and build up confidence in their abilities as they work through the sheets and build up to trickier calculations. Packed with tear-off sheets that include a range of approaches to practise and consolidate arithmetic skills. Compact and easy to pack in a bag, it's great in the school holidays for children to brush up on their numbers before the new term. Gradually increases in difficulty so children can build up confidence before tackling more challenging sums.

100 days of multiplication problems. Discover the difference a couple minutes of practice can make. These are reproducible practice sheets to help students learn their multiplication facts and recall them with fluidity. This book focuses on digits 0-12. An answer key is included in the back of this book, so students can easily check their own work.

If you want to have more fun on the drums, improve your skills faster, and play along to real music, then you need to build a solid foundation. The Best Beginner Drum Book gives you a clear path for getting started on the drums and skipping the frustrating obstacles that most new drummers face: setting up your kit, holding the drumsticks, learning notation, creating catchy beats and fills, learning musical styles, and playing your favorite songs.

George Lawrence Stone's Stick Control is the original classic, often called the bible of drumming. In 1993, Modern Drummer magazine named it one of the top 25 drumming books of all-time. In the words of the author, this is the ideal book for improving "control, speed, flexibility, touch, rhythm, lightness, delicacy, power, endurance, preciseness of execution, and muscular coordination," with extra attention given to the development of the weak hand. This indispensable book for drummers of all types includes hundreds of basic to advanced rhythms and moves through categories of single-beat combinations, triplets, short roll combinations, flam beats, flam triplets and dotted notes, and short roll progressions.

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.