Deep Learning with R
Deep Learning with R introduces deep learning and neural networks using the R programming language. The book builds on the understanding of the theoretical and mathematical constructs and enables the reader to create applications on computer vision, natural language processing and transfer learning.
Adventures in Problem Solving
What is "problem solving"? The grat mathematican David Hilberd said that, in essence, probles are the life blood of mathematics, and Paul Halmos added a rider: that the complementary activity - theory building - provides the soul of the subject....
Serverless Applications with Node.js: Using AWS Lambda and Claudia.js
Serverless Applications with Node.js
Web Scraping with Python (Community Experience Distilled)
Successfully scrape data from any website with the power of Python
About This Book
A hands-on guide to web scraping with real-life problems and solutions
Techniques to download and extract data from complex websites
Create a number of different web scrapers to extract...
Mathematical Modelling, Optimization, Analytic and Numerical Solutions (Industrial and Applied Mathematics)
This book discusses a variety of topics related to industrial and applied mathematics, focusing on wavelet theory, sampling theorems, inverse problems and their applications, partial differential equations as a model of real-world problems, computational linguistics, mathematical models and methods for meteorology, earth systems,...
|Result Page: 256 255 254 253 252 251 250 249 248 247 |