Machine Learning: A Visual Starter Course (For Beginner's Only)
| Author | : | |
| Rating | : | 4.46 (828 Votes) |
| Asin | : | B07335JNW1 |
| Format Type | : | |
| Number of Pages | : | 128 Pages |
| Publish Date | : | 2013-08-18 |
| Language | : | English |
DESCRIPTION:
This starter course isn't a picture story book but does include many visual examples that break algorithms down into a digestible and practical format. A half-step back in order to help everyone make his or her first strides in machine learning and is an ideal study companion for the visual learner.In this step-by-step guide you will learn:- How to download free datasets- What tools and software packages you need- Data scrubbing techniques, including one-hot encoding and binning- Regression analysis to create trend lines- Clustering, including k-means and knearest neighbors- Descending dimension algorithms to cut through the noise in your dataset- Anomaly detection and SVM algorithms to combat anomalies and outliers- The basics of neural networks- Bias/Variance to impr
aspennic said A Good Introduction for Beginners. This book is ideal for people first coming into ML looking for a clear high-level introduction. Having said that, the book is also quite practical too, and I had good fun going through the example exercises to build regression lines and scrub datasets.. Recommended reading for newbies Evans INC Clear and concise introduction to ML. If you don’t have a background in data science, I wouldn’t let this stop you from picking up this book. My own expertise is in mobile web development, which is outside the scope of this book title, but I had no problems going through it.. Value for money Steve Carton Another quick & easy read from this author. No Complaints.