MCP Mathematics promotes mathematical success for all students, especially those who struggle with their core math program. This trusted, targeted program uses a traditional drill and practice format with a predictable, easy-to-use lesson format. MCP Math is flexible and adaptable to fit a variety of intervention settings including after school, summer school, and additional math instruction during the regular school day. By teaching with MCP Math, you can: Provide targeted intervention through a complete alternative program to core math textbooks. Help students learn and retain new concepts and skills with extensive practice. Prepare students at a wide range of ability levels for success on standardized tests of math proficiency.

MCP Mathematics promotes mathematical success for all students, especially those who struggle with their core math program. This trusted, targeted program uses a traditional drill and practice format with a predictable, easy-to-use lesson format. MCP Math is flexible and adaptable to fit a variety of intervention settings including after school, summer school, and additional math instruction during the regular school day.By teaching with MCP Math, you can: Provide targeted intervention through a complete alternative program to core math textbooks. Help students learn and retain new concepts and skills with extensive practice. Prepare students at a wide range of ability levels for success on standardized tests of math proficiency.

"MCP "Plaid" Phonics" Level A helps students become fluent readers. Activities help students develop spelling (encoding), recognize words in context, and use phonics in word-building and personal writing. It provides teachers with a direct model for integrating phonics and reading through reading activities.

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.

MCP Mathematics promotes mathematical success for all students, especially those who struggle with their core math program. This trusted, targeted program uses a traditional drill and practice format with a predictable, easy-to-use lesson format. MCP Math is flexible and adaptable to fit a variety of intervention settings including after school, summer school, and additional math instruction during the regular school day. By teaching with MCP Math, you can: Provide targeted intervention through a complete alternative program to core math textbooks. Help students learn and retain new concepts and skills with extensive practice. Prepare students at a wide range of ability levels for success on standardized tests of math proficiency.