Amazon link: https://www.amazon.com/dp/B0BT6YFHGL?ref_=cm_sw_r_cp_ud_dp_2QHXPM30WB8AWVNPME27We have applied network automation techniques for Network and Cloud Infrastructures for years. Network automation has focused so far on automating "actions". As an Industry, we have focused on the "how" and get it automated (how to automate a software upgrade, how to automate a configuration change, how to automate service provisioning, etc.).We are about to enter a new Era in managing our network and cloud infrastructures, one where we will need to automate "decisions". It is about automating the answers to the remaining questions: the when, the what, the why, and the where.Network and Cloud infrastructures are more complex than ever but more critical than ever. This is the perfect storm for network and cloud engineers.This book is about helping you gain knowledge, understanding, criteria, and practical application of multiple machine learning techniques to tackle the challenge described above. It is about how to help you become a better professional by expanding your expertise with applied machine learning use cases.There are many books about machine learning techniques, no doubt about that. However, this is the only one that will give you a comprehensive and contextualized description, with practical use cases for your infrastructure, with code. This book will boost your skills as a network and cloud professional and give you a broad and deep understanding of a wide range of techniques, use cases, and examples relevant to your daily activities.The book contains both theory and practice.The theory addresses a broad spectrum of techniques and algorithms, from traditional statistical methods like clustering, anomaly detection, and time series forecasting, to bleeding edge architectures based on deep neural networks such as GANs and Language Models. All are presented with application examples for networks and clouds with Python code.