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Hands-On Data Science with SQL Server 2017

You're reading from   Hands-On Data Science with SQL Server 2017 Perform end-to-end data analysis to gain efficient data insight

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781788996341
Length 506 pages
Edition 1st Edition
Languages
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Authors (2):
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Vladimír Mužný Vladimír Mužný
Author Profile Icon Vladimír Mužný
Vladimír Mužný
Marek Chmel Marek Chmel
Author Profile Icon Marek Chmel
Marek Chmel
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Toc

Table of Contents (14) Chapters Close

Preface 1. Data Science Overview FREE CHAPTER 2. SQL Server 2017 as a Data Science Platform 3. Data Sources for Analytics 4. Data Transforming and Cleaning with T-SQL 5. Data Exploration and Statistics with T-SQL 6. Custom Aggregations on SQL Server 7. Data Visualization 8. Data Transformations with Other Tools 9. Predictive Model Training and Evaluation 10. Making Predictions 11. Getting It All Together - A Real-World Example 12. Next Steps with Data Science and SQL 13. Other Books You May Enjoy

Data science next steps

Data science is a prerequisite for numerous other fields of study that closely relate to data that we have available including globally the following:

  • Deep learning
  • Reinforced learning
  • Artificial Intelligence
  • Big-data processing and many others

AI and machine learning are commonly interchangeable, although they are not the same thing and are usually applied differently based on the available data and expected outcomes. In general terms, AI is a larger concept than machine learning, which is trying to mimic cognitive behavior in humans.

A very frequent approach to training computers to think such as humans, or to implement AI, is the usage of neural networks. Same neural networks can be used also for deep learning, where the algorithm is mimicking the human neocortex in the human brain, allowing the algorithm to learn to recognize patterns in digital...

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