- File Size: 6633 KB
- Print Length: 408 pages
- Simultaneous Device Usage: Unlimited
- Publisher: O'Reilly Media; 2 edition (April 12, 2019)
- Publication Date: April 12, 2019
- Sold by: Amazon.com Services LLC
- Language: English
- ASIN: B07QPC8RZX
- Text-to-Speech: Enabled
- Word Wise: Not Enabled
- Lending: Not Enabled
- Amazon Best Sellers Rank: #77,131 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
Data Science from Scratch: First Principles with Python 2nd Edition, Kindle Edition
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About the Author
Joel Grus is a research engineer at the Allen Institute for Artificial Intelligence. Previously he worked as a software engineer at Google and a data scientist at several startups. He lives in Seattle, where he regularly attends data science happy hours. He blogs infrequently at joelgrus.com and tweets all day long at @joelgrus.
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I'm not sure if the author had a say in this, or this is O'Reilly's doing, but I would respectfully suggest that if leaving out color in the visualizations was intentional, it's not the way to go.
Based on this, I regretfully suggest that you DO NOT purchase the book. In my view, the book is significantly diminished because of this omission, and I think you'll agree, especially if you purchased at full price as I did.
Does the Kindle version have color? Not sure. I wish I could still purchase PDF's, but that was closed some time ago.
I'm starting to think this is my last O'Reilly book purchase. Perhaps the intent is to move us all to Safari subscriptions.
Yes, there is numpy, pandas, and a host of other packages and frameworks available to perform many of the examples of what is explained in the book. But you need to broaden your knowledge with this material that touches the "bare metal" of Data Science.
Excellent use is made of clear, concise verbiage to make things "black and white". (save the color images and other crutches for the board room stakeholders!).
A better book would focus on the student's learning, with less emphasis on how clever the author is at writing code.
The review on statistics and probability was helpful for me. His disciplined approach may be the best lesson. There is great power in data science. With that comes great responsibility (quote from Uncle Ben).
TLDR: If you're looking for a concise introduction to data science and have a bit of knowledge of basic Python, algebra, statistics and probability, look no further than this book! Otherwise, come back once you've picked up those tools and you'll feel right at home :)
Top international reviews
Buen libro si vas iniciando en el análisis de datos y quieres profundizar mas en los algoritmos y la programación de ciertas estructuras.
OJO, no te va a enseñar a usar tecnologías como SK-Learn, Keras, TensorFlow, etc..., te va a enseñar como están programadas que es algo MUY diferente.
Highly recommended if that's the first book you buy
Hice una excelente inversión!