This book PDF is perfect for those who love Pattern perception genre, written by Edward R. Tufte and published by Unknown which was released on 27 April 1997 with total hardcover pages 168. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Visual Explanations books below.
| Author | : Edward R. Tufte |
| File Size | : 51,5 Mb |
| Publisher | : Unknown |
| Language | : English |
| Release Date | : 27 April 1997 |
| ISBN | : UOM:39015042827926 |
| Pages | : 168 pages |
Considers the effective presentation of information by graphic means.
Considers the effective presentation of information by graphic means.
Get BookDisplay of information for paper and computer screens; principles of information design, design of presentations. Depicting evidence relevant to cause and effect, decision making. Scientific visualization.
Get BookGraphical practice. Theory of data graphics.
Get BookThis radical first course on complex analysis brings a beautiful and powerful subject to life by consistently using geometry (not calculation) as the means of explanation. Aimed at undergraduate students in mathematics, physics, and engineering, the book's intuitive explanations, lack of advanced prerequisites, and consciously user-friendly prose style will help
Get BookThe eight-volume set comprising LNCS volumes 9905-9912 constitutes the refereed proceedings of the 14th European Conference on Computer Vision, ECCV 2016, held in Amsterdam, The Netherlands, in October 2016. The 415 revised papers presented were carefully reviewed and selected from 1480 submissions. The papers cover all aspects of computer vision and pattern recognition such
Get BookThis book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and
Get BookDeep learning is an artificially intelligent entity that teaches itself and can be utilized to make predictions. Deep learning mimics the human brain and provides learned solutions addressing many challenging problems in the area of visual computing. From object recognition to image classification for diagnostics, deep learning has shown the
Get BookHow seeing turns into showing, how empirical observations turn into explanation and evidence. How to produce and consume evidence presentations.
Get Book