In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases

    The authors present updated coverage of compilers based on research and techniques that have been developed in the field over the past few years. The book provides a thorough introduction to compiler design and covers topics such as context-free grammars, fine state machines, and syntax-directed translation.

    The speeds and feeds section has been revised, updated and expanded to include new materials, more cutting tools, and tool life estimates. The welding section has been rewritten to incorporate recent developments, the numerical control section has been expanded and rearranged to facilitate use, and logarithm and trigonometry tables have been reinstated. New to this edition are sections on bolt tightening torques, motion control sections, ISO 9000, lasers, dividing heads, bandsaws (including speeds and feeds), electrical discharge machining, retaining rings, machinability of wood, and collets. In addition, all the practical information and data has been reviewed and updated where necessary.

    This distinctive text was developed to stand apart from all other A&P texts with unparalleled art, a writing style that has been acclaimed by both users and reviewers and clinical coverage that offers the perfect balance without being too much. Saladin's well-accepted organization of topics is based upon the most logical physiological ties between body systems. This text requires no prior knowledge of college chemistry or cell biology, and is designed for a two-semester A&P college course.

    Drawing from Scientific American's "Fact or Fiction" and "Strange But True" columns, we've selected fifty-eight of the most surprising, fascinating, useful, and just plain wacky topics confronted by our writers over the years.