Viele Sachen schmecken lecker, ob vom Markt oder vom Bäcker. Was mag Emma und was mag der kleine Betrachter? Hier dürfen die kleinen Leser miterleben, was es heißt, zu essen - mit allen Sinnen: Bei Spaghetti mit Tomatensoße lässt sich herrlich spritzen, ein großes Stück Wassermelone ist nicht nur wohltuend saftig, sondern auch viel größer als der Mund, Gemüse ist gesund, aber ob es immer lecker ist?Kurze, eingängige Reime laden zum Mitsprechen ein. Product details For ages 1+ Format Board book | 16 pages ...
Used as course material in top universities like Stanford and Cambridge.
Sold in over 85 countries and translated into more than 5 languages.
Want to get started on data science?
Our promise: no math added.
This book has been written in layman's terms as a gentle introduction to data science and its algorithms. Each algorithm has its own dedicated chapter that explains how it works, and shows an example of a real-world application. To help you grasp key concepts, we stick to intuitive explanations, as well as lots of visuals, all of which are colorblind-friendly.
Popular concepts covered include:
A/B Testing Anomaly Detection Association Rules Clustering Decision Trees and Random Forests Regression Analysis Social Network Analysis Neural Networks
Features:
Intuitive explanations and visuals Real-world applications to illustrate each algorithm Point summaries at the end of each chapter Reference sheets comparing the pros and cons of algorithms Glossary list of commonly-used terms
With this book, we hope to give you a practical understanding of data science, so that you, too, can leverage its strengths in making better decisions.
Product details
- Paperback | 146 pages
- 152 x 229 x 10mm | 281g
- 24 Mar 2017
- Annalyn Ng & Kenneth Soo
- English
- 9811110689
- 9789811110689
- 209,722
Download Numsense! Data Science for the Layman : No Math Added (9811110689).pdf, available at ebookdownloadfree.co for free.
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