<p>This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of many basic principles and techniques needed for modern data analysis. In particular, this book was designed and written as preparation for students planning to take rigorous Machine Learning and Data Mining courses. It introduces key conceptual tools necessary for data analysis, including concentration of measure and PAC bounds, cross validation, gradient descent, and principal component analysis. It also surveys basic techniques in supervised (regression and classification) and unsupervised learning (dimensionality reduction and clustering) through an accessible, simplified presentation. Students are recommended to have some background in calculus, probability, and linear algebra. Some familiarity with programming and algorithms is useful to understand advanced topics on computational techniques.<br></p>
Pris: kr 649.00 fra Norli
Butikk | Pris | |
---|---|---|
kr 649.00 | Besøk butikk |
<div>In this textbook, basic mathematical models used in Big Data Analytics are presented and application-oriented references to relevant practical issues are made. Necessary mathematical tools are examined and applied to current problems of data...
kr 399.00
Mer informasjon
The aim of the book is to help students become data scientists. Since this requires a series of courses over a considerable period of time, the book intends to accompany students from the beginning to an advanced understanding of the knowledge and s
kr 1029.00
Mer informasjon
<p><b>Learn data science by doing data science!</b><b> </b></p><p><b><i>Data Science Using Python and R </i></b><b>will get you plugged into the world¿s two most widespread open-source...
kr 1169.00
Mer informasjon