Machine Learning for Time Series Forecasting with Python

Acknowledgments

In the past few years, I had the privilege to work with many data scientists, cloud advocates, developers, and professionals from Microsoft and Wiley: all these people inspired me and supported me through the creation and writing of this book. I am particularly grateful to the Cloud Advocacy team at Microsoft, for their trust and encouragement and for making my job so much easier and more enjoyable.

Thanks to Jim Minatel, associate publisher at John Wiley & Sons, who worked with me since the beginning of the publishing process and acted as a bridge between my work and the editorial staff. It was a pleasure to work with Pete Gaughan, content enablement manager; with David Clark, project editor, who managed the process that got us from outline to a finished manuscript; and with Saravanan Dakshinamurthy, content refinement specialist, who managed the last stages of this book development and made them go as smoothly as they did. I appreciate the support and guidance provided by the technical reviewer, James Winegar, and I hope we will work on other projects together in the future.

Last but not least, I will be forever grateful to my daughter, Nicole, who reminds me of the goodness in this world and inspires me to be the greatest version of myself; to my husband, Laurent, for his unconditional and endless support, inspiration, and encouragement; to my parents, Andrea and Anna Maria, and my brother, Marco, for always being there for me and believing in me through all ...