Personal Reading List: 1Q2019
My personal reading list for January, February, and March 2019.
Color Key: Special Notes, Completed Reading. Updated throughout the Quarter.
At Bat (Schnell)
An Introduction to Machine Learning Interpretability, by Patrick Hall and Navdeep Gill, O'Reilly, 2018. Copy provided by Dataiku.
AWS Certified Solutions Architect Associate All-in-One Exam Guide (Exam SAA-C01), by Joyjeet Banerjee, McGraw-Hill Education, 2018.
Thinking Architecturally: Lead Technical Change Within Your Engineering Team, by Nathaniel Schutta, O'Reilly, 2018. Copy provided by Pivotal.
At Bat (Langsam)
Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst, by Dean Abbott, Wiley, 2014. Copy provided by Amazon.
Common Errors in Statistics and How to Avoid Them (Fourth Edition), by Phillip I. Good and James W. Hardin, Wiley, 2012.
Practical Statistics for Data Scientists: 50 Essential Concepts, by Peter Bruce and Andrew Bruce, O'Reilly, 2017. Copy provided by MarkLogic.
On Deck
Apache NiFi for Dummies, by Christopher Gambino, Dan Rice, Joseph Niemiec, Mark Johnson, and Jordan Martz, Wiley, 2018. Copy provided by Hortonworks and Attunity.
Building Evolutionary Architectures: Support Constant Change, by Neal Ford, Rebecca Parsons, and Patrick Kua, O'Reilly, 2017. Copy provided by O'Reilly.
In the Hole
Designing Autonomous Teams and Services: Deliver Continuous Business Value through Organizational Alignment, by Nick Tune and Scott Millett, O'Reilly, 2017. Copy provided by O'Reilly.
Introducing Istio Service Mesh for Microservices, by Christian Posta and Burr Sutter, O'Reilly, 2018. Copy provided by Red Hat.