Numsense! Data Science for the Layman: No Math Added
On Sale Now! Save 8% on the Numsense! Data Science for the Layman: No Math Added by Annalyn Ng & Kenneth Soo at EMS Linux. Hurry! Limited time offer. Offer valid only while supplies last. Used in Stanford's CS102 Big Data (Spring 2017) course. Want to get started on data science? Our promise: no math added. This book has been written
Used in Stanford's CS102 Big Data (Spring 2017) course.
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
- Decision Trees and Random Forests
- Regression Analysis
- Social Network Analysis
- Neural Networks
- 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.
|Manufacturer:||Annalyn Ng & Kenneth Soo|
|Publisher:||Annalyn Ng & Kenneth Soo|
|Studio:||Annalyn Ng & Kenneth Soo|
|Item Size:||0.35 x 9 x 9 inches|
|Package Weight:||0.62 pounds|
|Package Size:||6.1 x 0.51 x 0.51 inches|