Best Books for a Machine Learning Developer

by BuildMyVocab

List of "Best Books for a Machine Learning Developer" compiled based on Amazon book reviews by experts. These books are used by students of top institutes, universities, colleges and professionals. Please feel free to suggest any other book on this topic using the comment section below.

1. Machine Learning: Hands-On for Developers and Technical Professionals by Jason Bell
   Wiley (Number of pages: 408)
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2. Machine Learning Projects for .NET Developers by Mathias Brandewinder
   Apress (Number of pages: 300)
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3. Machine Learning: A Bayesian and Optimization Perspective (Net Developers) by Sergios Theodoridis
   Academic Press (Number of pages: 1062)
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4. Thoughtful Machine Learning with Python: A Test-Driven Approach by Matthew Kirk
   O'Reilly Media (Number of pages: 216)
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5. Programming for the Internet of Things: Using Windows 10 IoT Core and Azure IoT Suite (Developer Reference) by Dawid Borycki
   Microsoft Press (Number of pages: 624)
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6. Machine Learning in Action by Peter Harrington
   Manning Publications (Number of pages: 384)
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7. SQL Server 2016 Developer's Guide by Dejan Sarka,Milos Radivojevic,William Durkin
   Packt Publishing - ebooks Account (Number of pages: 616)
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8. Apache Spark for Java Developers by Sumit Kumar,Sourav Gulati
   Packt Publishing - ebooks Account (Number of pages: 370)
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9. Machine Learning for Developers by Rodolfo Bonnin
   Packt Publishing (Number of pages: 396)
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10. Machine Learning: A Bayesian and Optimization Perspective (.Net Developers) 1st edition by Theodoridis, Sergios (2015) Hardcover by
    Academic Press
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