Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, the first textbook that teaches linear algebra together with deep learning and neural nets.
This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis...
This is something no one has ever informed me of!" Wendy Laura Belcher has heard this many times in her years of teaching and coaching academics on how to prepare journal papers. Scholars are aware...
This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis...
The new 7th edition of Sheehy's acclaimed emergency care resource gives thorough, up-to-date coverage of the basics emergency nurses need to know, with a more efficient and streamlined design. From...
First published in 1934, Security Analysis is one of the most influential financial books ever written. Selling more than one million copies through five editions, it has provided...
