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🚀 Elevate your ML game with hands-on unsupervised learning mastery!
This book offers a practical, example-driven guide to unsupervised machine learning using Python. Covering clustering, anomaly detection, neural networks, and GANs, it equips data professionals with the skills to implement advanced algorithms using popular libraries like Scikit-Learn and TensorFlow. Ideal for those with some ML background, it bridges theory and real-world application to unlock the potential of raw, untagged data.
| Best Sellers Rank | 4,289,307 in Books ( See Top 100 in Books ) |
| Customer Reviews | 4.0 out of 5 stars 9 Reviews |
D**A
Excellent practice book!
I like that have the theory and examples in how to program it in Python. This book who's a little bit about mathematics equations. So if you are interested in the demonstration of mathematics equations then you need other book. This is practical book in Python and I love it.
D**W
Print is in black & white
This is a paperback re-print made in black and white. Nowhere in the description or preview does it show that it's not in color. For most of the figures having color is pretty important to follow along. Disappointing.
A**A
Do not buy. Absolutely poor content
This book is of no use. It doesn't talk about anything either clearly, wholistically, in depth or meaningfully. I feel like sending this back to the author.
E**N
Time Series Clustering
I appreciate the introduction of Shape - to cluster time-series very much.
Trustpilot
2 weeks ago
1 month ago