Agile Data Science 2.0 (O'Reilly)
Agile Data Science 2.0 (O'Reilly)
Monday, 31 July 2017

With a subtitle of Building Full-Stack Data Analytics Applications with Spark,  the revised second edition of this hands-on guide, shows how to use the Agile Data Science development methodology to build data applications with Python, Apache Spark, Kafka, and other tools.Author Russell Jurney demonstrates how to compose a data platform for building, deploying, and refining analytics applications with Apache Kafka, MongoDB, ElasticSearch, d3.js, scikit-learn, and Apache Airflow.

<ASIN:1491960116>

You’ll learn an iterative approach that lets you quickly change the kind of analysis you’re doing, depending on what the data is telling you. Publish data science work as a web application, and affect meaningful change in your organization.

Author: Russell Jurney
Publisher: O'Reilly
Date: June 2017
Pages: 352
ISBN: 978-1491960110
Print: 1491960116
Kindle: B072MKL34K
Audience: Data scientists
Level: Intermediate

 

 

  • Build value from your data in a series of agile sprints, using the data-value pyramid
  • Extract features for statistical models from a single dataset
  • Visualize data with charts, and expose different aspects through interactive reports
  • Use historical data to predict the future via classification and regression
  • Translate predictions into actions
  • Get feedback from users after each sprint to keep your project on track

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Machine Learning

Author: Jason Bell
Publisher: Wiley
Pages:408 
ISBN: 978-1118889060
Print: 1118889061
Kindle:B00ORPVV3E
Audience: Developers and technical professionals
Rating: 4
Reviewer: Mike James

Hands-On for Developers and Technical Professionals - sounds good.



Thoughtful Machine Learning with Python

Author: Matthew Kirk
Publisher: O'Reilly
Pages:250
ISBN: 978-1491924136
Print: 1491924136
Kindle:B01N12DLF9
Audience: Non maths oriented programmers wanting to get into machine learning.
Rating: 2
Reviewer: Mike James

A book on AI in Python, what could be better?


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