Python Machine Learning Case Studies

Five Case Studies for the Data Scientist

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Programming, Programming Languages, General Computing
Cover of the book Python Machine Learning Case Studies by Danish Haroon, Apress
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Author: Danish Haroon ISBN: 9781484228234
Publisher: Apress Publication: October 27, 2017
Imprint: Apress Language: English
Author: Danish Haroon
ISBN: 9781484228234
Publisher: Apress
Publication: October 27, 2017
Imprint: Apress
Language: English

Embrace machine learning approaches and Python to enable automatic rendering of rich insights and solve business problems. The book uses a hands-on case study-based approach to crack real-world applications to which machine learning concepts can be applied. These smarter machines will enable your business processes to achieve efficiencies on minimal time and resources.

Python Machine Learning Case Studies takes you through the steps to improve business processes and determine the pivotal points that frame strategies. You’ll see machine learning techniques that you can use to support your products and services. Moreover you’ll learn the pros and cons of each of the machine learning concepts to help you decide which one best suits your needs.

By taking a step-by-step approach to coding in Python you’ll be able to understand

the rationale behind model selection and decisions within the machine learning process. The book is equipped with practical examples along with code snippets to ensure that you understand the data science approach to solving real-world problems.

What You Will Learn

  • Gain insights into machine learning concepts 

  • Work on real-world applications of machine learning

  • Learn concepts of model selection and optimization

  • Get a hands-on overview of Python from a machine learning point of view

Who This Book Is For

Data scientists, data analysts, artificial intelligence engineers, big data enthusiasts, computer scientists, computer sciences students, and capital market analysts.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Embrace machine learning approaches and Python to enable automatic rendering of rich insights and solve business problems. The book uses a hands-on case study-based approach to crack real-world applications to which machine learning concepts can be applied. These smarter machines will enable your business processes to achieve efficiencies on minimal time and resources.

Python Machine Learning Case Studies takes you through the steps to improve business processes and determine the pivotal points that frame strategies. You’ll see machine learning techniques that you can use to support your products and services. Moreover you’ll learn the pros and cons of each of the machine learning concepts to help you decide which one best suits your needs.

By taking a step-by-step approach to coding in Python you’ll be able to understand

the rationale behind model selection and decisions within the machine learning process. The book is equipped with practical examples along with code snippets to ensure that you understand the data science approach to solving real-world problems.

What You Will Learn

Who This Book Is For

Data scientists, data analysts, artificial intelligence engineers, big data enthusiasts, computer scientists, computer sciences students, and capital market analysts.

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