PDF Ebook , by William Sullivan
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, by William Sullivan
PDF Ebook , by William Sullivan
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Product details
File Size: 9924 KB
Print Length: 148 pages
Simultaneous Device Usage: Unlimited
Publication Date: July 29, 2018
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B07G1V5792
Text-to-Speech:
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Amazon Best Sellers Rank:
#27,495 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
For learning about this term python machine this perfect guide book has been designed. The auhtor has mentioned steps for making learning easy and simultaneously there are included pictures too for more elaboration, do recommend to my all fellows.
Great book on Python and Machine Learning. Raschka really knows his stuff. Having contributed to sklearn and writing the great mlxtend library he speaks with authority on the topics covered. I really learned a lot!
This book primarily targets Python developers who want to learn and use Python's machine learning capabilities and gain valuable insights from data to develop effective solutions for business problems.
Great book for an intermediate data scientist. Talks about numpy and pandas a lot so its great!
The book is short and there is a good introduction to machine learning theory. For each section there are python examples. I red the book while getting to work on the bus on my kindle and was for me a good starting point to understand more about AI.
The downloaded excel data is garbled, which means the whole book is useless for me!
This is a well written introduction to M-learning. But the links are no longer active.
The writer gives very good ideas about python machine. After reading this book I got clear all ideas about python machine. So overall this book was so helpful. i hope you all get helpful teach from this book.
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