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Hands-On Data Science with Anaconda

You're reading from   Hands-On Data Science with Anaconda Utilize the right mix of tools to create high-performance data science applications

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788831192
Length 364 pages
Edition 1st Edition
Languages
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Authors (2):
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James Yan James Yan
Author Profile Icon James Yan
James Yan
Yuxing Yan Yuxing Yan
Author Profile Icon Yuxing Yan
Yuxing Yan
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Toc

Table of Contents (15) Chapters Close

Preface 1. Ecosystem of Anaconda 2. Anaconda Installation FREE CHAPTER 3. Data Basics 4. Data Visualization 5. Statistical Modeling in Anaconda 6. Managing Packages 7. Optimization in Anaconda 8. Unsupervised Learning in Anaconda 9. Supervised Learning in Anaconda 10. Predictive Data Analytics – Modeling and Validation 11. Anaconda Cloud 12. Distributed Computing, Parallel Computing, and HPCC 13. References 14. Other Books You May Enjoy

Why optimization is important

In our lives, people face all kinds of choices. In a sense, we implement, either consciously or subconsciously, various kinds of implied optimization procedures. For example, when a high school junior or senior is looking for a college, they might have many choices, such as good schools, local schools, public schools, or private schools. When making a decision with a couple of offers, these high school students usually have some objectives in their mind. These objectives might include the ranking and cost of attending a school, scholarships, the reputation, and name recognition of the program, or even the fame of the football team. For corporations, they have to make all kinds of optimal or reasonable decisions. For instance, what kinds of products they should produce, what are the quantities and at what prices, and to whom they should target. Since...

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