Become a better, more productive programmer through a series of projects that will help you deeply understand and master each of the design patterns covered.
Quickly obtain solutions to common Java image processing problems, learn best practices, and understand everything OpenCV has to offer for image processing.
Reduce development time by organizing your programs as chains of functional interfaces and see that the advantages of using functional interfaces include the flexibility and power of inlined functional chains and reuse of functional methods utilized throughout the Java API.
Learn about bot programming, using all the latest and greatest programming languages, including Python, Go, and Clojure, so you can feel at ease writing your Telegram bot in a way that suits you.
Understand how to apply auto machine learning to data streams and create transactional machine learning (TML) solutions that are frictionless (require minimal to no human intervention) and elastic (machine learning solutions that can scale up or down by controlling the number of data streams, algorithms, and users of the insights).
Software engineering education has a problem: universities and bootcamps teach aspiring engineers to write code, but they leave graduates to teach themselves the countless supporting tools required to thrive in real software companies.
Gain a better understanding of pointers, from the basics of how pointers function at the machine level, to using them for a variety of common and advanced scenarios.
Address the most common integration challenges, by understanding the ins and outs of the choices and exemplifying the solutions with practical examples on how to create cloud native applications using Apache Camel.
Deep reinforcement learning is a fast-growing discipline that is making a significant impact in fields of autonomous vehicles, robotics, healthcare, finance, and many more.
Das Praxisbuch stellt die Windows PowerShell in der aktuellsten Version als vielseitiges Werkzeug für die Administration von Windows Server 2008 R2/2012/2012 R2 und Windows Server 2016 vor.
Gain an in-depth understanding of the large number of common problems found in ABAP programs and have a robust methodology for fixing problems when you find them.
Learn Docker "e;infrastructure as code"e; technology to define a system for performing standard but non-trivial data tasks on medium- to large-scale data sets, using Jupyter as the master controller.
