Book picks similar to
Text Analysis with R for Students of Literature by Matthew L. Jockers
r
digital-humanities
non-fiction
math
Mining of Massive Datasets
Anand Rajaraman - 2011
This book focuses on practical algorithms that have been used to solve key problems in data mining and which can be used on even the largest datasets. It begins with a discussion of the map-reduce framework, an important tool for parallelizing algorithms automatically. The authors explain the tricks of locality-sensitive hashing and stream processing algorithms for mining data that arrives too fast for exhaustive processing. The PageRank idea and related tricks for organizing the Web are covered next. Other chapters cover the problems of finding frequent itemsets and clustering. The final chapters cover two applications: recommendation systems and Web advertising, each vital in e-commerce. Written by two authorities in database and Web technologies, this book is essential reading for students and practitioners alike.
Effective TypeScript: 62 Specific Ways to Improve Your TypeScript
Dan Vanderkam - 2019
But TypeScript has a learning curve of its own, and understanding how to use it effectively can take time. This book guides you through 62 specific ways to improve your use of TypeScript.Author Dan Vanderkam, a principal software engineer at Sidewalk Labs, shows you how to apply these ideas, following the format popularized by Effective C++ and Effective Java (both from Addison-Wesley). You’ll advance from a beginning or intermediate user familiar with the basics to an advanced user who knows how to use the language well.Effective TypeScript is divided into eight chapters:
Getting to Know TypeScript
TypeScript’s Type System
Type Inference
Type Design
Working with any
Types Declarations and @types
Writing and Running Your Code
Migrating to TypeScript