Suggested Books Today | Books - Helge Scherlund's eLearning News

Check out these books below by Springer. 

Photo: Storyblocks.com

Enchanting Robots - Intimacy, Magic, and Technology 

Enchanting Robots 
Intimacy, Magic, and Technology

This book argues that robots are enchanting humans (as potential intimate partners), because humans are enchanting robots (by performing magical thinking), and that these processes are a part of a significant re-enchantment of the “modern” world. As a foundation, the author examines arguments for and against intimate relationships with robots, particularly sex robots and care robots...

The book closes with a consideration of future scenarios regarding the meaning of life in the age of rampant automation and the possibility that designing robots becomes a sort of new eugenics as a consequence of recognizing robots as persons.

Publisher: Palgrave Macmillan; 1st ed. 2019 edition (February 28, 201
Read more...

Underwater Robots

Underwater Robots

A classic in underwater robotics. One of the first volumes in the “Springer Tracts in Advanced Robotics” series, it has been a bestseller through the previous three editions. Fifteen years after the publication of the first edition, the fourth edition comes to print...

Inverse kinematics, dynamic and interaction control for underwater vehicle-manipulator systems are then discussed. The code used to generate most of the numerical simulations is made available and briefly discussed.
Read more...

Practical Java Machine Learning - Projects with Google Cloud Platform and Amazon Web Services 

Practical Java Machine Learning
Projects with Google Cloud Platform
and Amazon Web Services

Build machine learning (ML) solutions for Java development. This book shows you that when designing ML apps, data is the key driver and must be considered throughout all phases of the project life cycle. Practical Java Machine Learning helps you understand the importance of data and how to organize it for use within your ML project. You will be introduced to tools which can help you identify and manage your data including JSON, visualization, NoSQL databases, and cloud platforms including Google Cloud Platform and Amazon Web Services...

After reading this book, you will come away with case study examples and projects that you can take away as templates for re-use and exploration for your own machine learning programming projects with Java.

What You Will Learn

• Identify, organize, and architect the data required for ML projects
• Deploy ML solutions in conjunction with cloud providers such as Google and Amazon
• Determine which algorithm is the most appropriate for a specific ML problem
• Implement Java ML solutions on Android mobile devices
• Create Java ML solutions to work with sensor data
• Build Java streaming based solutions

Publisher: Apress; 1st ed. edition (October 24, 2018)
Read more... 

Read 📚books and drink ☕️coffee!   

Source: Springer