Cloud Machine Learning Engine API
Non-technically to explain how machine learning works, machine learning is a process taking input fields and then mapping them to several outputs. A classic application is turbine data, which used to determine failure probabilities. The machine learning can be posted on any computer that able to run Python, the number of resources you need rises significantly involved data sets. As can be inferred from the other Google APIs highlighted in this feature, Google has experience handling all kinds of machine-learning-related jobs. However, developers looking to get started with machine learning must be aware that the Cloud Machine Learning Engine API is not a silver bullet. If you do not understand the basics of machine learning, your models will not work well.
Google Maps
There is a whole range of incredibly popular Google APIs that can used to add Google Maps functionality to your sites, including mapping capabilities, street view, navigation and more. The APIs range from simple basic page embeds you can use to display a map on a web page to complex JSON web services that enable you to receive a set of directions for navigation between locations.
Cloud Natural Language API
It would be great if programs could analyse text, bots could strip off precious seconds from every interaction between unhappy customers and reduce the costs of hiring employees. Google’s Cloud Natural Language API dedicated to doing that. Plug in a query in the user’s own words into the product and returns a field of information related to all kinds of metadata it has found. In the AutoML edition, you are furthermore allowed to create custom models that are more tailored than the API’s standard predefined categories, enabling you to focus on more niche expertise or areas of knowledge.
Google Cloud Video Intelligence API
Google is always looking for new ways to generate extra revenue: an interesting avenue involves letting the Vision API loose on videos. The raison d’etre for the Cloud Video Intelligence API provides it with video data and prepare yourself for a torrent of metadata, cropping advice and various other bits of auto-generated information.
Cloud Speech-to-Text and Text-to-Speech APIs
While the text might be king in many applications, there are plenty of situations where you may want to include voice output or input whether that’s catering to those with accessibility issues or enabling people to use your sites and apps hands-free. As the development of vocoders is cost-expensive, offloading this task sounds attractive. Google have you covered with two sets of APIs: the Cloud Speech-to-Text API takes speech and turns it into string text, while the Cloud Text-to-Speech API generates a spoken mp3 file. From a technical point of view, these Google APIs tend to work and see use in a variety of systems like Android.
Cloud Translation API
Multi-language applications are here to stay. Sadly, getting machine translation right remains among the most complex problems in IT. Google’s Cloud Translation API should be well-known to all those of you who use its Translate app – in its simplest form, you send a string and get a translated one in response. While this works fine with general-purpose texts, some applications require a little more attention. Google let you provide a set of keywords to tune the algorithm. This API is helpful for text string related to scientific domains, such as electrical engineering.