Exploratory Vision: The Active Eye
Springer (9780387945637) | Exploratory Vision, Active Eye
Stores where to buy this product
Sponsored This site contains affiliate links for which we may receive compensation. More information
This product has not been found in any sponsored store recently, please check similar products from our sponsors or review other stores we offer where you may find the product.
Similar products
| This product in Comparor | |
|---|---|
|
Category
This product is cataloged in our store in these categories
|
- Biological Sciences - Algorithms - Artificial Intelligence - Software Design & Engineering - Graphics & Multimedia - Introduction to Programming - Human Biology |
|
International
Find this product in one of our international stores
|
This product has not been found in other countries
|
| Colors
Predominant colors of the product |
|
| Tags | Exploratory Vision Active Eye |
| Identifiers | |
| Brand | ![]() Springer is a German brand that produces high-quality bicycles. The company has a rich history, dating back to 1885, and is known for its innovative designs and quality products. Springer bikes are popular among cyclists of all levels, and the brand is known for its commitment to customer satisfaction. |
| ID | 23103222 |
| Dimensions / Weight | |
| Key Features | |
Related articles
O'Reilly Media, Inc, USA (9781491907337) - Dimensions: 180 x 236 x 12mm | 472g - Edition statement: 2 nd ed - Format: 226 pages - ISBN: 9781491907337 - Languages: English - Sebastopol, United States | Statistical analysis
(9780309052436) - Occupational / industrial health & safety - National Academies Press - ISBN: 9780309052436 - Pages: 176 pages
O'Reilly Media, Inc, USA (9781491907337) - Dimensions: 180 x 236 x 12mm | 472g - Edition statement: 2 nd ed - Format: 226 pages - ISBN: 9781491907337 - Languages: English - Sebastopol, United States | Statistical analysis
Discover how to uncover hidden relationships in data with this concise guide that explains key concepts like central tendency, dispersion, outlier detection, normality testing, and regression diagnostics, all illustrated with practical examples.
Discover how to uncover hidden relationships in data with this concise guide that explains key concepts like central tendency, dispersion, outlier detection, normality testing, and regression diagnostics, all illustrated with practical examples.

