Fortunately, there's Schaum's. This all-in-one-package includes more than 2,400 fully solved problems, examples, and practice exercises to sharpen your problem-solving skills. Plus, you will have access to the revised online Schaum’s.com website-- i
Over the past decade, Deep Neural Networks (DNNs) have become very popular models for problems involving massive amounts of data. The most successful DNNs tend to be characterized by several layers of parametrized linear and nonlinear transformation
This book provides an introduction to computer science, and shows how modern computerbased tools can be used in science, mathematics, and engineering. Computer-aided mathematics has reached a level where it can support effectively many computations
Milton Abramowitz, Irene A. Stegun-Handbook of Mathematical Functions_ with Formulas, Graphs, and Mathematical Tables-National Bureau of Standards (1970)， 资源来自互联网
Basics of Linear Algebra for Machine Learning Discover the Mathematical Language of Data in Python 英文无水印原版pdf pdf所有页面使用FoxitReader、PDF-XChangeViewer、SumatraPDF和Firefox测试都可以打开 本资源转载自网络，如有侵权，请联系上传者或csdn删除 查看此书详细信息请在美国亚马逊官网搜索此书
This book draft presents an overview of important mathematical and numerical foundations for modern data sciences. It covers in particulars the basics of signal and image processing, imaging sciences and machine learning.
Explore and analyze the solutions of mathematical models from diverse disciplines As biology increasingly depends on data, algorithms, and models, it has become necessary to use a computing language, such as the user-friendly MapleTM, to focus more
This book aims to provide the student with some basic modelling skills that will have application to a wide variety of problems. The focus is on those mathematical techniques that are applicable to models involving differential equations, and which
Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solutions on your own. Pro Deep Learning with TensorFlow
Multivariate statistics and mathematical models provide flexible and powerful tools essential in most disciplines. Nevertheless, many practicing researchers lack an adequate knowledge of these techniques, or did once know the techniques, but have no
This book is intended as a textbook for a first-year PhDcourse in mathematics for economists and as a reference forgraduate students in economics. It provides a self-contained,rigorous treatment of most of the concepts and techniques requiredto foll
